460 results on '"A. Oancea"'
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2. The Potential of Introducing Heat Pumps (HP) and Thermal Eenergy Storage for the Tulcea Municipality, Romania Systems in Order to Enable the Decarbonization in Romania
- Author
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Stere Stamule and Marian Oancea
- Subjects
heat pumps ,thermal energy ,decarbonization ,cost and electricity reduction ,public buildings ,Business ,HF5001-6182 ,Economics as a science ,HB71-74 - Abstract
This case study aims to analyze the market potential of heat pumps and thermal energy storage in Romania. It was done at the level of a medium-sized city, the Tulcea Municipality. It was carried out on the basis of interviews with the main stakeholders of the city, such as the deputy mayor, the employees of the urban planning department, the director and the employees of Energoterm, the heating company. Documents were analyzed regarding the thermal energy and electricity consumption of the main public buildings, their existing energy certificates and their RLVs were also studied together with field visits. The study presents the structure of thermal energy consumption of public buildings in the municipality, analyze the possibilities of reducing heating and cooling costs and greenhouse gas emissions of public buildings and proposes some technical solutions based on integrated systems with customized heat pumps for each analyzed public building.
- Published
- 2024
3. The adoption of the metaverse concepts in Romania
- Author
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Chinie Cătălina, Oancea Marian, and Todea Steluta
- Subjects
metaverse ,immersive technologies ,digital interactions ,metaverse tokens ,artificial intelligence ,Business ,HF5001-6182 - Abstract
The metaverse is a controversial concept, hyped by some but viewed as a marketing strategy by others. Although the first mentioning of the metaverse dates back to 1992, it has gained attention in the last years, especially after Facebook changed its name to “Meta” in 2021. Based on immersive technologies such as AR and VR, digital interactions and commerce within the virtual world, the metaverse is expected to grow along with its enabling technologies. This article aims to discover the status of the adoption of the metaverse concepts in Romania, among people with digital skills. The analysis was performed based on an online questionnaire, posted on public social media accounts. The results of the study have shown that few people have tried applications within the metaverse, and even fewer have invested in metaverse tokens. People who played RPG or virtual world games seem to have used metaverse applications more than those who have not, thus, this could be a good driver for metaverse adoption. Awareness of the metaverse concept was not a driver of metaverse adoption. However, results show that people who purchase cryptocurrencies and NFTs would also be interested in the metaverse, more than people who have not transacted these digital assets.
- Published
- 2022
- Full Text
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4. STRATEGIC OPTIONS FOR THE DEVELOPMENT OF ECOTURISM IN THE DORNELOR COUNTY
- Author
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Mihaela Diana NEGESCU OANCEA, Sorin BURLACU, Ovidiu Andrei Cristian BUZOIANU, Marcela MITRITA, and Amelia DIACONU
- Subjects
strategies ,ecotourism ,environment ,tourist ,Business ,HF5001-6182 - Abstract
International tourism practice has shown over time that regardless of the type of tourism practiced, it ultimately results in a series of effects felt by both society and the natural environment. Table tourism is responsible for the most visible and deeper negative influences on tourist destinations. Sustainable development of tourism is often associated with a tourism industry, but all forms of tourism must bring economic and social benefits to the local community and encourage the protection of the environment. Ecotourism includes the following: tourism product, which must be based on its nature and its elements and ecological management that must contribute to the preservation of biodiversity and to the welfare of communities in tourist areas and to achieve ecological education among both tourists and among the population local.
- Published
- 2019
5. Global, regional, and national burden of stroke and its risk factors, 1990–2019 : a systematic analysis for the Global Burden of Disease Study 2019
- Author
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Mosiur Rahman, Rehab Salah, Mario F P Peres, Licia Iacoviello, Benjamin A Stark, Mahalaqua Nazli Khatib, Amir Radfar, Kamarul Imran Musa, Yannick Béjot, Deanna Anderlini, Carlos Cantú-Brito, Feng Sha, V. E. Nwatah, Pradip Gyanwali, Boris Bikbov, Bartosz Miazgowski, Sindhura Lakshmi Koulmane Laxminarayana, Ali Bijani, Imteyaz A Khan, Yaser Mokhayeri, Bogdan Oancea, Tarang Parekh, Martin Dichgans, Linh Gia Vu, Naohiro Yonemoto, Ahmad Ghashghaee, Marcos Roberto Tovani-Palone, Gebiyaw Wudie Tsegaye, Mona Pathak, Maciej Banach, Marissa B Reitsma, Derrick A Bennett, Treska S Hassan, Allen Seylani, Gdiom Gebreheat Abady, Islam Y. Elgendy, Hassan Mehmood Lak, Ismael R. Campos-Nonato, Sorin Hostiuc, Sheikh Mohammed Shariful Islam, Alessandra C. Goulart, Silvia Schiavolin, Simona Sacco, Atif Amin Baig, Azeem Majeed, Sahar Eftekharzadeh, Badr Hasan Sobaih, Archith Boloor, Aimé Bonny, Graeme J. Hankey, Jiregna Darega Gela, Mohamed I Hegazy, Pedram Keshavarz, Segun Emmanuel Ibitoye, Maseer Khan, Hatem Abdelaziz Mohamed Wafa, Hualiang Lin, Enayet Karim Chowdhury, Simon I. Hay, Vanessa De la Cruz-Góngora, Xuefeng Liu, Arokiasamy Perianayagam, Maryam Zamanian, Sezer Kisa, Preetam Bhalchandra Mahajan, Junmei Miao Jonasson, Alberto Raggi, Shubha Jayaram, Tahira Ashraf, Ejaz Ahmad Khan, Matthias Endres, Masoumeh Sadeghi, Dominique Vervoort, Hanadi Al Hamad, Mowafa Househ, Elena V. Gnedovskaya, Johan Ärnlöv, Andrea Sylvia Winkler, Yousef Khader, Mikhail Sergeevich Zastrozhin, Yuming Guo, Yunquan Zhang, Sami Almustanyir, Lalit Dandona, Amir Masoud Rahmani, Chythra R Rao, Giancarlo Lucchetti, Irena Ilic, Suzanne Barker-Collo, Priya Rathi, Emerito Jose A. Faraon, Mohamad-Hani Temsah, Reza Ghanei Gheshlagh, Gyu Ri Kim, Carlos A Castañeda-Orjuela, Alaa Makki, Yun Jin Kim, Vida Abedi, Shanshan Li, Kewal Krishan, David Flood, Abdollah Mohammadian-Hafshejani, Michele Romoli, Gregory A. Roth, Jagdish Khubchandani, Isabela M. Benseñor, Rupak Desai, Mohammed Shannawaz, Aziz Sheikh, Claudiu Herteliu, Xiaoyue Xu, Santi Martini, Kenji Shibuya, Jasvinder A. Singh, Ravi Prakash Jha, Kairat Davletov, Mahya Beheshti, Rahmatollah Moradzadeh, Ismaeel Yunusa, Maria Inês Schmidt, Koustuv Dalal, Sohail Ahmad, Patrick D. M. C. Katoto, Oladimeji Adebayo, Nima Hafezi-Nejad, Ranil Jayawardena, Giampiero Mazzaglia, Mitra Abbasifard, Usman Iqbal, Hamid Yimam Hassen, Alireza Rafiei, Catherine O. Johnson, Mark Thomaz Ugliara Barone, Simona Giampaoli, Gaetano Isola, Ricardo Lutzky Saute, Mandira Lamichhane Dhimal, Vishnu Renjith, Farshad Farzadfar, Irina Filip, Daniel Diaz, André Karch, Samer Hamidi, Diego Augusto Santos Silva, David Colozza, Gbenga A. Kayode, Dinh-Toi Chu, Truong-Minh Pham, Arielle Wilder Bell, Aziz Rezapour, David Laith Rawaf, Anasthasia Zastrozhina, Yves Miel H Zuniga, Ivo Iavicoli, Adrian Pana, Salman Rawaf, Pankaj Bhardwaj, Omid Dadras, Anayat Ullah, Gina Agarwal, Shafiu Mohammed, Bing-Fang Hwang, Eyayou Girma Tadesse, Charles D.A. Wolfe, Sanjay Basu, Michael Brauer, Tanuj Kanchan, Ahmad Azam Malik, Brigid Unim, Min Seo Kim, Kia Vosoughi, Tomasz Miazgowski, Warren D. Lo, Vivek Podder, Dana Bryazka, Chuanhua Yu, Hassan Magdy Abd El Razek, Rufus Akinyemi, Zhi-Jiang Zhang, Ettore Beghi, Xiaochen Dai, Meghnath Dhimal, Mehrnoosh Samaei, Sathish Kumar Jayapal, Bay Vo, Amanual Getnet Mersha, Rajaa Al-Raddadi, Savita Lasrado, Jalal Arabloo, Pablo M. Lavados, Samaneh Akbarpour, Khezar Hayat, Ritesh G. Menezes, Vahid Alipour, Sowmya J. Rao, Mariam Molokhia, Trang Huyen Nguyen, Aletta E. Schutte, Zahra Kamiab, Lidia Morawska, Mohammad Ali Moni, Bo Norrving, Tommi Vasankari, Bruno Ramos Nascimento, Ai Koyanagi, Tissa Wijeratne, Rizwan Kalani, Chenwen Zhong, Bright Opoku Ahinkorah, Sepideh Ahmadi, Bruce Bartholow Duncan, Andrzej Rynkiewicz, Pradyumna Agasthi, Saeed Shahabi, Adnan Kisa, Fares Alahdab, Vafa Rahimi-Movaghar, Adnan Ansar, Matilde Leonardi, Ali Koolivand, Jefferson Antonio Buendia Rodriguez, Leonardo Roever, Daniel Asfaw Erku, Alok Atreya, Jean Jacques Noubiap, Dhaval Kolte, Shajedur Rahman Shawon, Michael Ekholuenetale, Navid Manafi, Narayanaswamy Venketasubramanian, Syed Amir Gilani, Mohamed M. Gad, Christopher J L Murray, Louis Jacob, Robert Ancuceanu, Simona Costanzo, Erkin M. Mirrakhimov, Seyed Hossein Yahyazadeh Jabbari, Nazanin Rajai, Muhammed Elhadi, Abdelrahman Ibrahim Abushouk, Alireza Zandifar, Walter Muruet, Jagadish Rao Padubidri, Promit Ananyo Chakraborty, Hans Orru, Mikk Jürisson, Rajeev Gupta, Kurnia Dwi Artanti, Till Bärnighausen, Mark Woodward, Masao Iwagami, Brijesh Sathian, Bingyu Li, Vijay Krishnamoorthy, Ahamarshan Jayaraman Nagarajan, Sherief Ghozy, Amanda G. Thrift, Michael A. Piradov, Florian Fischer, Mayowa O. Owolabi, Lorenzo G. Mantovani, Aman Yesuf Endries, Sara Sheikhbahaei, Stefan Lorkowski, Muhammed Shahriar Zaman, Ali Yadollahpour, Abdiwahab Hashi, Sreenivas Narasimha Swamy, Krittika Bhattacharyya, Hiroshi Yatsuya, Mika Kivimäki, Olayinka Stephen Ilesanmi, Irmina Maria Michalek, Ruxandra Irina Negoi, Alberico L. Catapano, Gholamreza Bazmandegan, Ahmed Al Montasir, Fakher Rahim, Amirhossein Sahebkar, Syed Mohamed Aljunid, Giang Thu Vu, G Anil Kumar, Juan Jesus Carrero, Hiroyasu Iso, Abdallah M. Samy, Stefan Stortecky, Reza Malekzadeh, Ashwin Kamath, Nevine El Nahas, Ayesha Humayun, Miguel A Barboza, Sheng-Chia Chung, Carlo La Vecchia, Oluwakemi Ololade Odukoya, Rita Krishnamurthi, Masood Ali Shaikh, Milena Ilic, Lalit Yadav, Nahlah Elkudssiah Ismail, Abdel Douiri, Yousef Mohammad, Jason H Y Wu, Sahar Saeedi Moghaddam, Ramesh Holla, Sadaf G. Sepanlou, Itamar S. Santos, Jost B. Jonas, Dian Kusuma, Atte Meretoja, Yasir Waheed, Ben Lacey, Zahra Aryan, Mulugeta Molla Birhanu, Moien Ab Khan, K. M. Saif-Ur-Rahman, Ramin Zand, Anna Aleksandrovna Skryabina, Sung In Jang, Rakhi Dandona, Emanuele D'Amico, Priyanga Ranasinghe, Jaykaran Charan, Bhaskaran Unnikrishnan, Davide Sattin, Akram Pourshams, Markus P. Schlaich, Arief Hargono, Samaneh Asgari, Ovidiu Baltatu, Ippazio Cosimo Antonazzo, Sandhya Neupane Kandel, Nizal Sarrafzadegan, Jakub Morze, Man Mohan Mehndiratta, Manjari Tripathi, Panniyammakal Jeemon, Rohollah Kalhor, Yogeshwar Kalkonde, Soraya Siabani, Sojib Bin Zaman, Seyed Sina Naghibi Irvani, Shilpa Gaidhane, Sahel Valadan Tahbaz, Yihienew Mequanint Bezabih, Samath D Dharmaratne, Ingan Ukur Tarigan, Vivek Gupta, Klara Dokova, Alireza Vakilian, Vardhmaan Jain, Akshaya Srikanth Bhagavathula, Sarah Wulf Hanson, Umar Farooque, Mohammad Ali Mansournia, Vera Marisa Costa, Alessandro Gialluisi, Valery L. Feigin, Himal Kandel, Suzanne Polinder, Nermin Ghith, Deepak Dhamnetiya, Michael H. Criqui, Asif Hanif, Ahmed Abualhasan, Veer Bala Gupta, Mahaveer Golechha, Bach Xuan Tran, Jason A. Anderson, Catherine Bisignano, Kazumasa Yamagishi, Zahid A Butt, Budi Aji, Baye Dagnew, Rasmus Havmoeller, Victor Volovici, Jitendra Singh, Paramjit Gill, Saverio Stranges, Eun Cheol Park, Andrew T Olagunju, Milena Santric-Milicevic, Woldesellassie M. Bezabhe, Sheikh M. Alif, Junjie Huang, Foad Abd-Allah, Yvonne Teuschl, Rajkumar Doshi, Nelson Alvis-Guzman, Marcel Ausloos, Mohsen Naghavi, Yusra Ahmed Salih, Mohsen Abbasi-Kangevari, Maarten J. Postma, Ghozali Ghozali, Yanzhong Wang, Ali H. Mokdad, Valentin Yurievich Skryabin, Nitin Joseph, Andre M. N. Renzaho, Muhammad Aziz Rahman, Mohammad Athar, Rustam Al-Shahi Salman, Albertino Damasceno, Fatemeh Pashazadeh Kan, Marcello Tonelli, Florentino Luciano Caetano dos Santos, Sonali G. Choudhari, Abdullah Hamid Feroze, Walter D. Johnson, Ro-Ting Lin, Francesca Giulia Magnani, Hermann Brenner, Shaimaa I. El-Jaafary, Tea Lallukka, Niveen M E Abu-Rmeileh, Jacek Jerzy Jozwiak, GBD 2019 Stroke Collaborators, Feigin, V. L., Stark, B. A., Johnson, C. O., Roth, G. A., Bisignano, C., Abady, G. G., Abbasifard, M., Abbasi-Kangevari, M., Abd-Allah, F., Abedi, V., Abualhasan, A., Abu-Rmeileh, N. M. E., Abushouk, A. I., Adebayo, O. M., Agarwal, G., Agasthi, P., Ahinkorah, B. O., Ahmad, S., Ahmadi, S., Salih, Y. A., Aji, B., Akbarpour, S., Akinyemi, R. O., Al Hamad, H., Alahdab, F., Alif, S. M., Alipour, V., Aljunid, S. M., Almustanyir, S., Al-Raddadi, R. M., Salman, R. A. -S., Alvis-Guzman, N., Ancuceanu, R., Anderlini, D., Anderson, J. A., Ansar, A., Antonazzo, I. C., Arabloo, J., Arnlov, J., Artanti, K. D., Aryan, Z., Asgari, S., Ashraf, T., Athar, M., Atreya, A., Ausloos, M., Baig, A. A., Baltatu, O. C., Banach, M., Barboza, M. A., Barker-Collo, S. L., Barnighausen, T. W., Barone, M. T. U., Basu, S., Bazmandegan, G., Beghi, E., Beheshti, M., Bejot, Y., Bell, A. W., Bennett, D. A., Bensenor, I. M., Bezabhe, W. M., Bezabih, Y. M., Bhagavathula, A. S., Bhardwaj, P., Bhattacharyya, K., Bijani, A., Bikbov, B., Birhanu, M. M., Boloor, A., Bonny, A., Brauer, M., Brenner, H., Bryazka, D., Butt, Z. A., Dos Santos, F. L. C., Campos-Nonato, I. R., Cantu-Brito, C., Carrero, J. J., Castaneda-Orjuela, C. A., Catapano, A. L., Chakraborty, P. A., Charan, J., Choudhari, S. G., Chowdhury, E. K., Chu, D. -T., Chung, S. -C., Colozza, D., Costa, V. M., Costanzo, S., Criqui, M. H., Dadras, O., Dagnew, B., Dai, X., Dalal, K., Damasceno, A. A. M., D'Amico, E., Dandona, L., Dandona, R., Gela, J. D., Davletov, K., De La Cruz-Gongora, V., Desai, R., Dhamnetiya, D., Dharmaratne, S. D., Dhimal, M. L., Dhimal, M., Diaz, D., Dichgans, M., Dokova, K., Doshi, R., Douiri, A., Duncan, B. B., Eftekharzadeh, S., Ekholuenetale, M., El Nahas, N., Elgendy, I. Y., Elhadi, M., El-Jaafary, S. I., Endres, M., Endries, A. Y., Erku, D. A., Faraon, E. J. A., Farooque, U., Farzadfar, F., Feroze, A. H., Filip, I., Fischer, F., Flood, D., Gad, M. M., Gaidhane, S., Gheshlagh, R. G., Ghashghaee, A., Ghith, N., Ghozali, G., Ghozy, S., Gialluisi, A., Giampaoli, S., Gilani, S. A., Gill, P. S., Gnedovskaya, E. V., Golechha, M., Goulart, A. C., Guo, Y., Gupta, R., Gupta, V. B., Gupta, V. K., Gyanwali, P., Hafezi-Nejad, N., Hamidi, S., Hanif, A., Hankey, G. J., Hargono, A., Hashi, A., Hassan, T. S., Hassen, H. Y., Havmoeller, R. J., Hay, S. I., Hayat, K., Hegazy, M. I., Herteliu, C., Holla, R., Hostiuc, S., Househ, M., Huang, J., Humayun, A., Hwang, B. -F., Iacoviello, L., Iavicoli, I., Ibitoye, S. E., Ilesanmi, O. S., Ilic, I. M., Ilic, M. D., Iqbal, U., Irvani, S. S. N., Islam, S. M. S., Ismail, N. E., Iso, H., Isola, G., Iwagami, M., Jacob, L., Jain, V., Jang, S. -I., Jayapal, S. K., Jayaram, S., Jayawardena, R., Jeemon, P., Jha, R. P., Johnson, W. D., Jonas, J. B., Joseph, N., Jozwiak, J. J., Jurisson, M., Kalani, R., Kalhor, R., Kalkonde, Y., Kamath, A., Kamiab, Z., Kanchan, T., Kandel, H., Karch, A., Katoto, P. D. M. C., Kayode, G. A., Keshavarz, P., Khader, Y. S., Khan, E. A., Khan, I. A., Khan, M., Khan, M. A. B., Khatib, M. N., Khubchandani, J., Kim, G. R., Kim, M. S., Kim, Y. J., Kisa, A., Kisa, S., Kivimaki, M., Kolte, D., Koolivand, A., Laxminarayana, S. L. K., Koyanagi, A., Krishan, K., Krishnamoorthy, V., Krishnamurthi, R. V., Kumar, G. A., Kusuma, D., Vecchia, C. L., Lacey, B., Lak, H. M., Lallukka, T., Lasrado, S., Lavados, P. M., Leonardi, M., Li, B., Li, S., Lin, H., Lin, R. -T., Liu, X., Lo, W. D., Lorkowski, S., Lucchetti, G., Saute, R. L., Abd El Razek, H. M., Magnani, F. G., Mahajan, P. B., Majeed, A., Makki, A., Malekzadeh, R., Malik, A. A., Manafi, N., Mansournia, M. A., Mantovani, L. G., Martini, S., Mazzaglia, G., Mehndiratta, M. M., Menezes, R. G., Meretoja, A., Mersha, A. G., Jonasson, J. M., Miazgowski, B., Miazgowski, T., Michalek, I. M., Mirrakhimov, E. M., Mohammad, Y., Mohammadian-Hafshejani, A., Mohammed, S., Mokdad, A. H., Mokhayeri, Y., Molokhia, M., Moni, M. A., Al Montasir, A., Moradzadeh, R., Morawska, L., Morze, J., Muruet, W., Musa, K. I., Nagarajan, A. J., Naghavi, M., Swamy, S. N., Nascimento, B. R., Negoi, R. I., Kandel, S. N., Nguyen, T. H., Norrving, B., Noubiap, J. J., Nwatah, V. E., Oancea, B., Odukoya, O. O., Olagunju, A. T., Orru, H., Owolabi, M. O., Padubidri, J. R., Pana, A., Parekh, T., Park, E. -C., Kan, F. P., Pathak, M., Peres, M. F. P., Perianayagam, A., Pham, T. -M., Piradov, M. A., Podder, V., Polinder, S., Postma, M. J., Pourshams, A., Radfar, A., Rafiei, A., Raggi, A., Rahim, F., Rahimi-Movaghar, V., Rahman, M., Rahman, M. A., Rahmani, A. M., Rajai, N., Ranasinghe, P., Rao, C. R., Rao, S. J., Rathi, P., Rawaf, D. L., Rawaf, S., Reitsma, M. B., Renjith, V., Renzaho, A. M. N., Rezapour, A., Rodriguez, J. A. B., Roever, L., Romoli, M., Rynkiewicz, A., Sacco, S., Sadeghi, M., Moghaddam, S. S., Sahebkar, A., Saif-Ur-Rahman, K. M., Salah, R., Samaei, M., Samy, A. M., Santos, I. S., Santric-Milicevic, M. M., Sarrafzadegan, N., Sathian, B., Sattin, D., Schiavolin, S., Schlaich, M. P., Schmidt, M. I., Schutte, A. E., Sepanlou, S. G., Seylani, A., Sha, F., Shahabi, S., Shaikh, M. A., Shannawaz, M., Shawon, Md. S. R., Sheikh, A., Sheikhbahaei, S., Shibuya, K., Siabani, S., Silva, D. A. S., Singh, J. A., Singh, J. K., Skryabin, V. Y., Skryabina, A. A., Sobaih, B. H., Stortecky, S., Stranges, S., Tadesse, E. G., Tarigan, I. U., Temsah, M. -H., Teuschl, Y., Thrift, A. G., Tonelli, M., Tovani-Palone, M. R., Tran, B. X., Tripathi, M., Tsegaye, G. W., Ullah, A., Unim, B., Unnikrishnan, B., Vakilian, A., Tahbaz, S. V., Vasankari, T. J., Venketasubramanian, N., Vervoort, D., Vo, B., Volovici, V., Vosoughi, K., Vu, G. T., Vu, L. G., Wafa, H. A., Waheed, Y., Wang, Y., Wijeratne, T., Winkler, A. S., Wolfe, C. D. A., Woodward, M., Wu, J. H., Hanson, S. W., Xu, X., Yadav, L., Yadollahpour, A., Jabbari, S. H. Y., Yamagishi, K., Yatsuya, H., Yonemoto, N., Yu, C., Yunusa, I., Zaman, M. S., Zaman, S. B., Zamanian, M., Zand, R., Zandifar, A., Zastrozhin, M. S., Zastrozhina, A., Zhang, Y., Zhang, Z. -J., Zhong, C., Zuniga, Y. M. H., Murray, C. J. L., Public Health, Neurosurgery, Department of Public Health, University of Helsinki, Faculty of Medicine, Helsinki Inequality Initiative (INEQ), HUS Neurocenter, Neurologian yksikkö, Helsinki University Hospital Area, Feigin, V, Stark, B, Johnson, C, Roth, G, Bisignano, C, Abady, G, Abbasifard, M, Abbasi-Kangevari, M, Abd-Allah, F, Abedi, V, Abualhasan, A, Abu-Rmeileh, N, Abushouk, A, Adebayo, O, Agarwal, G, Agasthi, P, Ahinkorah, B, Ahmad, S, Ahmadi, S, Salih, Y, Aji, B, Akbarpour, S, Akinyemi, R, Al Hamad, H, Alahdab, F, Alif, S, Alipour, V, Aljunid, S, Almustanyir, S, Al-Raddadi, R, Salman, R, Alvis-Guzman, N, Ancuceanu, R, Anderlini, D, Anderson, J, Ansar, A, Antonazzo, I, Arabloo, J, Arnlov, J, Artanti, K, Aryan, Z, Asgari, S, Ashraf, T, Athar, M, Atreya, A, Ausloos, M, Baig, A, Baltatu, O, Banach, M, Barboza, M, Barker-Collo, S, Barnighausen, T, Barone, M, Basu, S, Bazmandegan, G, Beghi, E, Beheshti, M, Bejot, Y, Bell, A, Bennett, D, Bensenor, I, Bezabhe, W, Bezabih, Y, Bhagavathula, A, Bhardwaj, P, Bhattacharyya, K, Bijani, A, Bikbov, B, Birhanu, M, Boloor, A, Bonny, A, Brauer, M, Brenner, H, Bryazka, D, Butt, Z, Dos Santos, F, Campos-Nonato, I, Cantu-Brito, C, Carrero, J, Castaneda-Orjuela, C, Catapano, A, Chakraborty, P, Charan, J, Choudhari, S, Chowdhury, E, Chu, D, Chung, S, Colozza, D, Costa, V, Costanzo, S, Criqui, M, Dadras, O, Dagnew, B, Dai, X, Dalal, K, Damasceno, A, D'Amico, E, Dandona, L, Dandona, R, Gela, J, Davletov, K, De La Cruz-Gongora, V, Desai, R, Dhamnetiya, D, Dharmaratne, S, Dhimal, M, Diaz, D, Dichgans, M, Dokova, K, Doshi, R, Douiri, A, Duncan, B, Eftekharzadeh, S, Ekholuenetale, M, El Nahas, N, Elgendy, I, Elhadi, M, El-Jaafary, S, Endres, M, Endries, A, Erku, D, Faraon, E, Farooque, U, Farzadfar, F, Feroze, A, Filip, I, Fischer, F, Flood, D, Gad, M, Gaidhane, S, Gheshlagh, R, Ghashghaee, A, Ghith, N, Ghozali, G, Ghozy, S, Gialluisi, A, Giampaoli, S, Gilani, S, Gill, P, Gnedovskaya, E, Golechha, M, Goulart, A, Guo, Y, Gupta, R, Gupta, V, Gyanwali, P, Hafezi-Nejad, N, Hamidi, S, Hanif, A, Hankey, G, Hargono, A, Hashi, A, Hassan, T, Hassen, H, Havmoeller, R, Hay, S, Hayat, K, Hegazy, M, Herteliu, C, Holla, R, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Hwang, B, Iacoviello, L, Iavicoli, I, Ibitoye, S, Ilesanmi, O, Ilic, I, Ilic, M, Iqbal, U, Irvani, S, Islam, S, Ismail, N, Iso, H, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jang, S, Jayapal, S, Jayaram, S, Jayawardena, R, Jeemon, P, Jha, R, Johnson, W, Jonas, J, Joseph, N, Jozwiak, J, Jurisson, M, Kalani, R, Kalhor, R, Kalkonde, Y, Kamath, A, Kamiab, Z, Kanchan, T, Kandel, H, Karch, A, Katoto, P, Kayode, G, Keshavarz, P, Khader, Y, Khan, E, Khan, I, Khan, M, Khatib, M, Khubchandani, J, Kim, G, Kim, M, Kim, Y, Kisa, A, Kisa, S, Kivimaki, M, Kolte, D, Koolivand, A, Laxminarayana, S, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Krishnamurthi, R, Kumar, G, Kusuma, D, Vecchia, C, Lacey, B, Lak, H, Lallukka, T, Lasrado, S, Lavados, P, Leonardi, M, Li, B, Li, S, Lin, H, Lin, R, Liu, X, Lo, W, Lorkowski, S, Lucchetti, G, Saute, R, Abd El Razek, H, Magnani, F, Mahajan, P, Majeed, A, Makki, A, Malekzadeh, R, Malik, A, Manafi, N, Mansournia, M, Mantovani, L, Martini, S, Mazzaglia, G, Mehndiratta, M, Menezes, R, Meretoja, A, Mersha, A, Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, I, Mirrakhimov, E, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, A, Mokhayeri, Y, Molokhia, M, Moni, M, Al Montasir, A, Moradzadeh, R, Morawska, L, Morze, J, Muruet, W, Musa, K, Nagarajan, A, Naghavi, M, Swamy, S, Nascimento, B, Negoi, R, Kandel, S, Nguyen, T, Norrving, B, Noubiap, J, Nwatah, V, Oancea, B, Odukoya, O, Olagunju, A, Orru, H, Owolabi, M, Padubidri, J, Pana, A, Parekh, T, Park, E, Kan, F, Pathak, M, Peres, M, Perianayagam, A, Pham, T, Piradov, M, Podder, V, Polinder, S, Postma, M, Pourshams, A, Radfar, A, Rafiei, A, Raggi, A, Rahim, F, Rahimi-Movaghar, V, Rahman, M, Rahmani, A, Rajai, N, Ranasinghe, P, Rao, C, Rao, S, Rathi, P, Rawaf, D, Rawaf, S, Reitsma, M, Renjith, V, Renzaho, A, Rezapour, A, Rodriguez, J, Roever, L, Romoli, M, Rynkiewicz, A, Sacco, S, Sadeghi, M, Moghaddam, S, Sahebkar, A, Saif-Ur-Rahman, K, Salah, R, Samaei, M, Samy, A, Santos, I, Santric-Milicevic, M, Sarrafzadegan, N, Sathian, B, Sattin, D, Schiavolin, S, Schlaich, M, Schmidt, M, Schutte, A, Sepanlou, S, Seylani, A, Sha, F, Shahabi, S, Shaikh, M, Shannawaz, M, Shawon, M, Sheikh, A, Sheikhbahaei, S, Shibuya, K, Siabani, S, Silva, D, Singh, J, Skryabin, V, Skryabina, A, Sobaih, B, Stortecky, S, Stranges, S, Tadesse, E, Tarigan, I, Temsah, M, Teuschl, Y, Thrift, A, Tonelli, M, Tovani-Palone, M, Tran, B, Tripathi, M, Tsegaye, G, Ullah, A, Unim, B, Unnikrishnan, B, Vakilian, A, Tahbaz, S, Vasankari, T, Venketasubramanian, N, Vervoort, D, Vo, B, Volovici, V, Vosoughi, K, Vu, G, Vu, L, Wafa, H, Waheed, Y, Wang, Y, Wijeratne, T, Winkler, A, Wolfe, C, Woodward, M, Wu, J, Hanson, S, Xu, X, Yadav, L, Yadollahpour, A, Jabbari, S, Yamagishi, K, Yatsuya, H, Yonemoto, N, Yu, C, Yunusa, I, Zaman, M, Zaman, S, Zamanian, M, Zand, R, Zandifar, A, Zastrozhin, M, Zastrozhina, A, Zhang, Y, Zhang, Z, Zhong, C, Zuniga, Y, Murray, C, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), and Microbes in Health and Disease (MHD)
- Subjects
Male ,Aging ,030204 cardiovascular system & hematology ,Stroke data ,GUIDELINES ,3124 Neurology and psychiatry ,Body Mass Index ,Global Burden of Disease ,0302 clinical medicine ,RA0421 ,Risk Factors ,Epidemiology ,Strokes ,YOUNG-ADULTS ,Prevalence ,80 and over ,Aetiology ,610 Medicine & health ,Stroke ,POPULATION ,1103 Clinical Sciences, 1109 Neurosciences ,Cause of death ,Aged, 80 and over ,education.field_of_study ,Mortality rate ,Incidence (epidemiology) ,Incidence ,1. No poverty ,Articles ,Hälsovetenskaper ,Middle Aged ,Stroke types ,ddc ,3. Good health ,ISCHEMIC-STROKE ,Income ,Female ,Quality-Adjusted Life Years ,Life Sciences & Biomedicine ,Adult ,medicine.medical_specialty ,GBD ,Population ,Clinical Sciences ,Clinical Neurology ,03 medical and health sciences ,Clinical Research ,MIDDLE-INCOME COUNTRIES ,Health Sciences ,medicine ,Humans ,Risk factor ,education ,GBD 2019 Stroke Collaborators ,Cerebral Hemorrhage ,Aged ,Ischemic Stroke ,Global burden ,Science & Technology ,Neurology & Neurosurgery ,HYPERTENSION ,business.industry ,MORTALITY ,Prevention ,3112 Neurosciences ,Neurosciences ,1103 Clinical Sciences ,SERVICES ,Subarachnoid Hemorrhage ,medicine.disease ,PREVENTION ,Brain Disorders ,Good Health and Well Being ,Attributable risk ,Human medicine ,Neurology (clinical) ,Neurosciences & Neurology ,business ,1109 Neurosciences ,030217 neurology & neurosurgery ,Demography ,2.4 Surveillance and distribution ,RC - Abstract
Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12·2 million (95% UI 11·0–13·6) incident cases of stroke, 101 million (93·2–111) prevalent cases of stroke, 143 million (133–153) DALYs due to stroke, and 6·55 million (6·00–7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8–12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1–6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0–73·0), prevalent strokes increased by 85·0% (83·0–88·0), deaths from stroke increased by 43·0% (31·0–55·0), and DALYs due to stroke increased by 32·0% (22·0–42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0–18·0), mortality decreased by 36·0% (31·0–42·0), prevalence decreased by 6·0% (5·0–7·0), and DALYs decreased by 36·0% (31·0–42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0–24·0) and incidence rates increased by 15·0% (12·0–18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5–3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5–3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57–8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97–3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01–1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7–90·8] DALYs or 55·5% [48·2–62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3–48·6] DALYs or 24·3% [15·7–33·2]), high fasting plasma glucose (28·9 million [19·8–41·5] DALYs or 20·2% [13·8–29·1]), ambient particulate matter pollution (28·7 million [23·4–33·4] DALYs or 20·1% [16·6–23·0]), and smoking (25·3 million [22·6–28·2] DALYs or 17·6% [16·4–19·0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. Funding Bill & Melinda Gates Foundation.
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- 2021
6. Measuring routine childhood vaccination coverage in 204 countries and territories, 1980–2019: a systematic analysis for the global burden of disease study 2020, release 1
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Galles N. C., Liu P. Y., Updike R. L., Fullman N., Nguyen J., Rolfe S., Sbarra A. N., Schipp M. F., Marks A., Abady G. G., Abbas K. M., Abbasi S. W., Abbastabar H., Abd-Allah F., Abdoli A., Abolhassani H., Abosetugn A. E., Adabi M., Adamu A. A., Adetokunboh O. O., Adnani Q. E. S., Advani S. M., Afzal S., Aghamir S. M. K., Ahinkorah B. O., Ahmad S., Ahmad T., Ahmadi S., Ahmed H., Ahmed M. B., Ahmed Rashid T., Ahmed Salih Y., Akalu Y., Aklilu A., Akunna C. J., Al Hamad H., Alahdab F., Albano L., Alemayehu Y., Alene K. A., Al-Eyadhy A., Alhassan R. K., Ali L., Aljunid S. M., Almustanyir S., Altirkawi K. A., Alvis-Guzman N., Amu H., Andrei C. L., Andrei T., Ansar A., Ansari-Moghaddam A., Antonazzo I. C., Antony B., Arabloo J., Arab-Zozani M., Artanti K. D., Arulappan J., Awan A. T., Awoke M. A., Ayza M. A., Azarian G., Azzam A. Y., B D. B., Babar Z. -U. -D., Balakrishnan S., Banach M., Bante S. A., Barnighausen T. W., Barqawi H. J., Barrow A., Bassat Q., Bayarmagnai N., Bejarano Ramirez D. F., Bekuma T. T., Belay H. G., Belgaumi U. I., Bhagavathula A. S., Bhandari D., Bhardwaj N., Bhardwaj P., Bhaskar S., Bhattacharyya K., Bibi S., Bijani A., Biondi A., Boloor A., Braithwaite D., Buonsenso D., Butt Z. A., Camargos P., Carreras G., Carvalho F., Castaneda-Orjuela C. A., Chakinala R. C., Charan J., Chatterjee S., Chattu S. K., Chattu V. K., Chowdhury F. R., Christopher D. J., Chu D. -T., Chung S. -C., Cortesi P. A., Costa V. M., Couto R. A. S., Dadras O., Dagnew A. B., Dagnew B., Dai X., Dandona L., Dandona R., De Neve J. -W., Derbew Molla M., Derseh B. T., Desai R., Desta A. A., Dhamnetiya D., Dhimal M. L., Dhimal M., Dianatinasab M., Diaz D., Djalalinia S., Dorostkar F., Edem B., Edinur H. A., Eftekharzadeh S., El Sayed I., El Sayed Zaki M., Elhadi M., El-Jaafary S. I., Elsharkawy A., Enany S., Erkhembayar R., Esezobor C. I., Eskandarieh S., Ezeonwumelu I. J., Ezzikouri S., Fares J., Faris P. S., Feleke B. E., Ferede T. Y., Fernandes E., Fernandes J. C., Ferrara P., Filip I., Fischer F., Francis M. R., Fukumoto T., Gad M. M., Gaidhane S., Gallus S., Garg T., Geberemariyam B. S., Gebre T., Gebregiorgis B. G., Gebremedhin K. B., Gebremichael B., Gessner B. D., Ghadiri K., Ghafourifard M., Ghashghaee A., Gilani S. A., Glavan I. -R., Glushkova E. V., Golechha M., Gonfa K. B., Gopalani S. V., Goudarzi H., Gubari M. I. M., Guo Y., Gupta V. B., Gupta V. K., Gutierrez R. A., Haeuser E., Halwani R., Hamidi S., Hanif A., Haque S., Harapan H., Hargono A., Hashi A., Hassan S., Hassanein M. H., Hassanipour S., Hassankhani H., Hay S. I., Hayat K., Hegazy M. I., Heidari G., Hezam K., Holla R., Hoque M. E., Hosseini M., Hosseinzadeh M., Hostiuc M., Househ M., Hsieh V. C. -R., Huang J., Humayun A., Hussain R., Hussein N. R., Ibitoye S. E., Ilesanmi O. S., Ilic I. M., Ilic M. D., Inamdar S., Iqbal U., Irham L. M., Irvani S. S. N., Islam S. M. S., Ismail N. E., Itumalla R., Jha R. P., Joukar F., Kabir A., Kabir Z., Kalhor R., Kamal Z., Kamande S. M., Kandel H., Karch A., Kassahun G., Kassebaum N. J., Katoto P. D., Kelkay B., Kengne A. P., Khader Y. S., Khajuria H., Khalil I. A., Khan E. A., Khan G., Khan J., Khan M., Khan M. A., Khang Y. -H., Khoja A. T., Khubchandani J., Kim G. R., Kim M. S., Kim Y. J., Kimokoti R. W., Kisa A., Kisa S., Korshunov V. A., Kosen S., Kuate Defo B., Kulkarni V., Kumar A., Kumar G. A., Kumar N., Kwarteng A., La Vecchia C., Lami F. H., Landires I., Lasrado S., Lassi Z. S., Lee H., Lee Y. Y., Levi M., Lewycka S., Li S., Liu X., Lobo S. W., Lopukhov P. D., Lozano R., Lutzky Saute R., Magdy Abd El Razek M., Makki A., Malik A. A., Mansour-Ghanaei F., Mansournia M. A., Mantovani L. G., Martins-Melo F. R., Matthews P. C., Medina J. R. C., Mendoza W., Menezes R. G., Mengesha E. W., Meretoja T. J., Mersha A. G., Mesregah M. K., Mestrovic T., Miazgowski B., Milne G. J., Mirica A., Mirrakhimov E. M., Mirzaei H. R., Misra S., Mithra P., Moghadaszadeh M., Mohamed T. A., Mohammad K. A., Mohammad Y., Mohammadi M., Mohammadian-Hafshejani A., Mohammed A., Mohammed S., Mohapatra A., Mokdad A. H., Molokhia M., Monasta L., Moni M. A., Montasir A. A., Moore C. E., Moradi G., Moradzadeh R., Moraga P., Mueller U. O., Munro S. B., Naghavi M., Naimzada M. D., Naveed M., Nayak B. P., Negoi I., Neupane Kandel S., Nguyen T. H., Nikbakhsh R., Ningrum D. N. A., Nixon M. R., Nnaji C. A., Noubiap J. J., Nunez-Samudio V., Nwatah V. E., Oancea B., Ochir C., Ogbo F. A., Olagunju A. T., Olakunde B. O., Onwujekwe O. E., Otstavnov N., Otstavnov S. S., Owolabi M. O., Padubidri J. R., Pakshir K., Park E. -C., Pashazadeh Kan F., Pathak M., Paudel R., Pawar S., Pereira J., Peres M. F. P., Perianayagam A., Pinheiro M., Pirestani M., Podder V., Polibin R. V., Pollok R. C. G., Postma M. J., Pottoo F. H., Rabiee M., Rabiee N., Radfar A., Rafiei A., Rahimi-Movaghar V., Rahman M., Rahmani A. M., Rahmawaty S., Rajesh A., Ramshaw R. E., Ranasinghe P., Rao C. R., Rao S. J., Rathi P., Rawaf D. L., Rawaf S., Renzaho A. M. N., Rezaei N., Rezai M. S., Rios-Blancas M., Rogowski E. L. B., Ronfani L., Rwegerera G. M., Saad A. M., Sabour S., Saddik B., Saeb M. R., Saeed U., Sahebkar A., Sahraian M. A., Salam N., Salimzadeh H., Samaei M., Samy A. M., Sanabria J., Sanmarchi F., Santric-Milicevic M. M., Sartorius B., Sarveazad A., Sathian B., Sawhney M., Saxena D., Saxena S., Seidu A. -A., Seylani A., Shaikh M. A., Shamsizadeh M., Shetty P. H., Shigematsu M., Shin J. I., Sidemo N. B., Singh A., Singh J. A., Sinha S., Skryabin V. Y., Skryabina A. A., Soheili A., Tadesse E. G., Tamiru A. T., Tan K. -K., Tekalegn Y., Temsah M. -H., Thakur B., Thapar R., Thavamani A., Tobe-Gai R., Tohidinik H. R., Tovani-Palone M. R., Traini E., Tran B. X., Tripathi M., Tsegaye B., Tsegaye G. W., Ullah A., Ullah S., Unim B., Vacante M., Velazquez D. Z., Vo B., Vollmer S., Vu G. T., Vu L. G., Waheed Y., Winkler A. S., Wiysonge C. S., Yigit V., Yirdaw B. W., Yon D. K., Yonemoto N., Yu C., Yuce D., Yunusa I., Zamani M., Zamanian M., Zewdie D. T., Zhang Z. -J., Zhong C., Zumla A., Murray C. J. L., Lim S. S., Mosser J. F., Aghamir S., Sahraian M., Mansournia M., Mirzaei H., Temsah M., Andrei C., Glavan I., Antonazzo I., Singh Mtech A., Padubidri J., Babar Z., De Neve J., Noubiap J., Chakinala R., Chattu S., Chattu V., Chu D., Chung S., Kumar G., Gilani S., Gupta V., Hargono Dr A., Islam S., Hsieh V., Irvani S. N., Ismail N., Khang Y., Yon D., Kim G., Park E., Shin J., Kim M., Kim Y., Lee Y., Medina J. C., Naimzada M., Rahmani A., Rezai M., Rao S., Saeb M., Seidu A., Tan K., Tohidinik H., Zhang Z., Galles, N, Liu, P, Updike, R, Fullman, N, Nguyen, J, Rolfe, S, Sbarra, A, Schipp, M, Marks, A, Abady, G, Abbas, K, Abbasi, S, Abbastabar, H, Abd-Allah, F, Abdoli, A, Abolhassani, H, Abosetugn, A, Adabi, M, Adamu, A, Adetokunboh, O, Adnani, Q, Advani, S, Afzal, S, Aghamir, S, Ahinkorah, B, Ahmad, S, Ahmad, T, Ahmadi, S, Ahmed, H, Ahmed, M, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, Y, Aklilu, A, Akunna, C, Al Hamad, H, Alahdab, F, Albano, L, Alemayehu, Y, Alene, K, Al-Eyadhy, A, Alhassan, R, Ali, L, Aljunid, S, Almustanyir, S, Altirkawi, K, Alvis-Guzman, N, Amu, H, Andrei, C, Andrei, T, Ansar, A, Ansari-Moghaddam, A, Antonazzo, I, Antony, B, Arabloo, J, Arab-Zozani, M, Artanti, K, Arulappan, J, Awan, A, Awoke, M, Ayza, M, Azarian, G, Azzam, A, B, D, Babar, Z, Balakrishnan, S, Banach, M, Bante, S, Barnighausen, T, Barqawi, H, Barrow, A, Bassat, Q, Bayarmagnai, N, Bejarano Ramirez, D, Bekuma, T, Belay, H, Belgaumi, U, Bhagavathula, A, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Boloor, A, Braithwaite, D, Buonsenso, D, Butt, Z, Camargos, P, Carreras, G, Carvalho, F, Castaneda-Orjuela, C, Chakinala, R, Charan, J, Chatterjee, S, Chattu, S, Chattu, V, Chowdhury, F, Christopher, D, Chu, D, Chung, S, Cortesi, P, Costa, V, Couto, R, Dadras, O, Dagnew, A, Dagnew, B, Dai, X, Dandona, L, Dandona, R, De Neve, J, Derbew Molla, M, Derseh, B, Desai, R, Desta, A, Dhamnetiya, D, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Dorostkar, F, Edem, B, Edinur, H, Eftekharzadeh, S, El Sayed, I, El Sayed Zaki, M, Elhadi, M, El-Jaafary, S, Elsharkawy, A, Enany, S, Erkhembayar, R, Esezobor, C, Eskandarieh, S, Ezeonwumelu, I, Ezzikouri, S, Fares, J, Faris, P, Feleke, B, Ferede, T, Fernandes, E, Fernandes, J, Ferrara, P, Filip, I, Fischer, F, Francis, M, Fukumoto, T, Gad, M, Gaidhane, S, Gallus, S, Garg, T, Geberemariyam, B, Gebre, T, Gebregiorgis, B, Gebremedhin, K, Gebremichael, B, Gessner, B, Ghadiri, K, Ghafourifard, M, Ghashghaee, A, Gilani, S, Glavan, I, Glushkova, E, Golechha, M, Gonfa, K, Gopalani, S, Goudarzi, H, Gubari, M, Guo, Y, Gupta, V, Gutierrez, R, Haeuser, E, Halwani, R, Hamidi, S, Hanif, A, Haque, S, Harapan, H, Hargono, A, Hashi, A, Hassan, S, Hassanein, M, Hassanipour, S, Hassankhani, H, Hay, S, Hayat, K, Hegazy, M, Heidari, G, Hezam, K, Holla, R, Hoque, M, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hsieh, V, Huang, J, Humayun, A, Hussain, R, Hussein, N, Ibitoye, S, Ilesanmi, O, Ilic, I, Ilic, M, Inamdar, S, Iqbal, U, Irham, L, Irvani, S, Islam, S, Ismail, N, Itumalla, R, Jha, R, Joukar, F, Kabir, A, Kabir, Z, Kalhor, R, Kamal, Z, Kamande, S, Kandel, H, Karch, A, Kassahun, G, Kassebaum, N, Katoto, P, Kelkay, B, Kengne, A, Khader, Y, Khajuria, H, Khalil, I, Khan, E, Khan, G, Khan, J, Khan, M, Khang, Y, Khoja, A, Khubchandani, J, Kim, G, Kim, M, Kim, Y, Kimokoti, R, Kisa, A, Kisa, S, Korshunov, V, Kosen, S, Kuate Defo, B, Kulkarni, V, Kumar, A, Kumar, G, Kumar, N, Kwarteng, A, La Vecchia, C, Lami, F, Landires, I, Lasrado, S, Lassi, Z, Lee, H, Lee, Y, Levi, M, Lewycka, S, Li, S, Liu, X, Lobo, S, Lopukhov, P, Lozano, R, Lutzky Saute, R, Magdy Abd El Razek, M, Makki, A, Malik, A, Mansour-Ghanaei, F, Mansournia, M, Mantovani, L, Martins-Melo, F, Matthews, P, Medina, J, Mendoza, W, Menezes, R, Mengesha, E, Meretoja, T, Mersha, A, Mesregah, M, Mestrovic, T, Miazgowski, B, Milne, G, Mirica, A, Mirrakhimov, E, Mirzaei, H, Misra, S, Mithra, P, Moghadaszadeh, M, Mohamed, T, Mohammad, K, Mohammad, Y, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammed, A, Mohammed, S, Mohapatra, A, Mokdad, A, Molokhia, M, Monasta, L, Moni, M, Montasir, A, Moore, C, Moradi, G, Moradzadeh, R, Moraga, P, Mueller, U, Munro, S, Naghavi, M, Naimzada, M, Naveed, M, Nayak, B, Negoi, I, Neupane Kandel, S, Nguyen, T, Nikbakhsh, R, Ningrum, D, Nixon, M, Nnaji, C, Noubiap, J, Nunez-Samudio, V, Nwatah, V, Oancea, B, Ochir, C, Ogbo, F, Olagunju, A, Olakunde, B, Onwujekwe, O, Otstavnov, N, Otstavnov, S, Owolabi, M, Padubidri, J, Pakshir, K, Park, E, Pashazadeh Kan, F, Pathak, M, Paudel, R, Pawar, S, Pereira, J, Peres, M, Perianayagam, A, Pinheiro, M, Pirestani, M, Podder, V, Polibin, R, Pollok, R, Postma, M, Pottoo, F, Rabiee, M, Rabiee, N, Radfar, A, Rafiei, A, Rahimi-Movaghar, V, Rahman, M, Rahmani, A, Rahmawaty, S, Rajesh, A, Ramshaw, R, Ranasinghe, P, Rao, C, Rao, S, Rathi, P, Rawaf, D, Rawaf, S, Renzaho, A, Rezaei, N, Rezai, M, Rios-Blancas, M, Rogowski, E, Ronfani, L, Rwegerera, G, Saad, A, Sabour, S, Saddik, B, Saeb, M, Saeed, U, Sahebkar, A, Sahraian, M, Salam, N, Salimzadeh, H, Samaei, M, Samy, A, Sanabria, J, Sanmarchi, F, Santric-Milicevic, M, Sartorius, B, Sarveazad, A, Sathian, B, Sawhney, M, Saxena, D, Saxena, S, Seidu, A, Seylani, A, Shaikh, M, Shamsizadeh, M, Shetty, P, Shigematsu, M, Shin, J, Sidemo, N, Singh, A, Singh, J, Sinha, S, Skryabin, V, Skryabina, A, Soheili, A, Tadesse, E, Tamiru, A, Tan, K, Tekalegn, Y, Temsah, M, Thakur, B, Thapar, R, Thavamani, A, Tobe-Gai, R, Tohidinik, H, Tovani-Palone, M, Traini, E, Tran, B, Tripathi, M, Tsegaye, B, Tsegaye, G, Ullah, A, Ullah, S, Unim, B, Vacante, M, Velazquez, D, Vo, B, Vollmer, S, Vu, G, Vu, L, Waheed, Y, Winkler, A, Wiysonge, C, Yigit, V, Yirdaw, B, Yon, D, Yonemoto, N, Yu, C, Yuce, D, Yunusa, I, Zamani, M, Zamanian, M, Zewdie, D, Zhang, Z, Zhong, C, Zumla, A, Murray, C, Lim, S, Mosser, J, Singh Mtech, A, Hargono Dr, A, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Tampere University, Health Sciences, HUS Comprehensive Cancer Center, University of Helsinki, Helsinki University Hospital Area, Abbas, Kaja [0000-0003-0563-1576], Veritati - Repositório Institucional da Universidade Católica Portuguesa, and GBD 2020, Release 1, Vaccine Coverage Collaborators
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Vaccine coverage ,Vacunación de rutina ,Time Factors ,Vaccination Coverage ,Global Plan of Action on Vaccines ,Service delivery framework ,IMPACT ,Global Health ,Cobertura de vacunas ,Routine childhood vaccination ,Global Burden of Disease ,Public Health ,Underserved Population ,Polio vaccine ,0302 clinical medicine ,WORLDWIDE ,Routine immunisation ,Global health ,Medicine ,030212 general & internal medicine ,Child ,11 Medical and Health Sciences ,General Medicine ,Articles ,childhood vaccination, GBD ,Plan de Acción Mundial sobre Vacunas ,3142 Public health care science, environmental and occupational health ,3. Good health ,ddc ,Vaccination ,Poliovirus Vaccines ,Action plan ,Life Sciences & Biomedicine ,Vacunación infantil ,MED/42 - IGIENE GENERALE E APPLICATA ,030231 tropical medicine ,Measles Vaccine ,03 medical and health sciences ,Medicine, General & Internal ,Environmental health ,General & Internal Medicine ,Humans ,IMMUNIZATION COVERAGE ,VALIDITY ,Vaccination approaches ,PROGRESS ,Diphtheria-Tetanus-Pertussis Vaccine ,CONFLICT ,Equity (economics) ,Science & Technology ,business.industry ,MORTALITY ,GBD 2020, Release 1, Vaccine Coverage Collaborators ,Global burden of disease, injury and risk factors ,Child vaccination ,Global vaccine policies ,Políticas mundiales de vacunación ,Carga global de enfermedades, lesiones y factores de riesgo ,Global vaccination policies ,3121 General medicine, internal medicine and other clinical medicine ,Childhood vaccination ,Measles vaccine ,Routine vaccination ,business ,Vaccine programme implementation - Abstract
Medir la vacunación infantil de rutina es crucial para informar las políticas mundiales de vacunación y la implementación de programas, y para hacer un seguimiento del progreso hacia los objetivos establecidos por el Plan de Acción Mundial sobre Vacunas (GVAP) y la Agenda de Inmunización 2030. Se necesitan estimaciones sólidas de la cobertura de vacunación de rutina para identificar los éxitos pasados y persistentes. vulnerabilidades. A partir del Estudio de la carga global de enfermedades, lesiones y factores de riesgo (GBD) 2020, versión 1, realizamos un análisis sistemático de las tendencias de cobertura de vacunas a nivel mundial, regional y nacional utilizando un marco estadístico, por vacuna y a lo largo del tiempo. Métodos Para este análisis recopilamos 55 326 observaciones específicas del país, de la cohorte, del año, de la vacuna y de la dosis de la cobertura de vacunación infantil de rutina entre 1980 y 2019. Utilizando el proceso de regresión gaussiana espaciotemporal, Estimaciones específicas por año de 11 indicadores de cobertura de vacunación infantil de rutina para 204 países y territorios desde 1980 hasta 2019, ajustando los sesgos en los datos informados por los países y reflejando los desabastecimientos informados y las interrupciones en el suministro. Analizamos las tendencias mundiales y regionales en la cobertura y el número de niños con dosis cero (definidos como aquellos que nunca recibieron una dosis de vacuna contra la difteria, el tétanos y la tos ferina [DTP]), el progreso hacia los objetivos del GVAP y la relación entre la cobertura de la vacuna y el desarrollo sociodemográfico. Recomendaciones Para 2019, la cobertura mundial de la tercera dosis de DTP (DTP3; 81,6 % [intervalo de incertidumbre del 95 % 80,4–82,7]) se duplicó con creces con respecto a los niveles estimados en 1980 (39,9 % [37,5–42 ·1]), al igual que la cobertura mundial de la vacuna antisarampionosa de primera dosis (MCV1; del 38,5 % [35,4–41,3] en 1980 al 83,6 % [82,3–84,8 ] en 2019). La cobertura de la vacuna antipoliomielítica de tercera dosis (Pol3) también aumentó, del 42,6 % (41,4–44,1) en 1980 al 79,8 % (78,4–81,1) en 2019, y la cobertura mundial de vacunas más nuevas Las vacunas aumentaron rápidamente entre 2000 y 2019. La cantidad mundial de niños que recibieron dosis cero se redujo en casi un 75 % entre 1980 y 2019, de 56,8 millones (52,6–60,9) a 14,5 millones (13,4– 15·9). Sin embargo, durante la última década, la cobertura mundial de vacunas se estabilizó en general; 94 países y territorios registraron una disminución de la cobertura de DTP3 desde 2010. Se estimó que solo 11 países y territorios alcanzaron el objetivo nacional del GVAP de al menos una cobertura del 90 % para todas las vacunas evaluadas en 2019. Interpretación Después de lograr grandes avances en la cobertura de vacunación infantil en todo el mundo, en gran parte del mundo este progreso se estancó o se revirtió de 2010 a 2019. Estos hallazgos subrayan la importancia de revisar las estrategias de inmunización de rutina y los enfoques programáticos, centrando la prestación de servicios en torno a la equidad y las poblaciones desatendidas. Fortalecer los datos de vacunas y los sistemas de monitoreo es crucial para estas actividades, ahora y hasta 2030, para garantizar que todos los niños tengan acceso y puedan beneficiarse de las vacunas que salvan vidas. Measuring routine childhood vaccination is crucial to inform global vaccine policies and programme implementation, and to track progress towards targets set by the Global Vaccine Action Plan (GVAP) and Immunization Agenda 2030. Robust estimates of routine vaccine coverage are needed to identify past successes and persistent vulnerabilities. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020, Release 1, we did a systematic analysis of global, regional, and national vaccine coverage trends using a statistical framework, by vaccine and over time. Methods For this analysis we collated 55 326 country-specific, cohort-specific, year-specific, vaccine-specific, and dose-specific observations of routine childhood vaccination coverage between 1980 and 2019. Using spatiotemporal Gaussian process regression, we produced location-specific and year-specific estimates of 11 routine childhood vaccine coverage indicators for 204 countries and territories from 1980 to 2019, adjusting for biases in country-reported data and reflecting reported stockouts and supply disruptions. We analysed global and regional trends in coverage and numbers of zero-dose children (defined as those who never received a diphtheria-tetanus-pertussis [DTP] vaccine dose), progress towards GVAP targets, and the relationship between vaccine coverage and sociodemographic development. Findings By 2019, global coverage of third-dose DTP (DTP3; 81·6% [95% uncertainty interval 80·4–82·7]) more than doubled from levels estimated in 1980 (39·9% [37·5–42·1]), as did global coverage of the first-dose measles-containing vaccine (MCV1; from 38·5% [35·4–41·3] in 1980 to 83·6% [82·3–84·8] in 2019). Third-dose polio vaccine (Pol3) coverage also increased, from 42·6% (41·4–44·1) in 1980 to 79·8% (78·4–81·1) in 2019, and global coverage of newer vaccines increased rapidly between 2000 and 2019. The global number of zero-dose children fell by nearly 75% between 1980 and 2019, from 56·8 million (52·6–60·9) to 14·5 million (13·4–15·9). However, over the past decade, global vaccine coverage broadly plateaued; 94 countries and territories recorded decreasing DTP3 coverage since 2010. Only 11 countries and territories were estimated to have reached the national GVAP target of at least 90% coverage for all assessed vaccines in 2019. Interpretation After achieving large gains in childhood vaccine coverage worldwide, in much of the world this progress was stalled or reversed from 2010 to 2019. These findings underscore the importance of revisiting routine immunisation strategies and programmatic approaches, recentring service delivery around equity and underserved populations. Strengthening vaccine data and monitoring systems is crucial to these pursuits, now and through to 2030, to ensure that all children have access to, and can benefit from, lifesaving vaccines.
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- 2021
7. Therapeutic Perspectives in Sneddon’s Syndrome
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Oana-Petronela Oancea, Razvan Platon, Alexandru-Dan Costache, Daniela Olaru, and Florin Mitu
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medicine.medical_specialty ,business.industry ,medicine ,General Medicine ,Sneddon's syndrome ,business ,medicine.disease ,Dermatology - Abstract
Sneddon’s syndrome is a rare but severe progressive chronic disease, characterized by multiple discoloration skin patches called Livedo racemosa and recurrent cerebrovascular events. It mainly affects women aged around 40. Considering the two main forms, antiphospholipid (APS) positive and negative, the available treatments are directed at either one of them. The idiopathic form (APS negative) is associated with a more severe prognosis as chronic oral anticoagulant therapy (COA) is more difficult to manage. One therapeutic perspective in controlling disease progression in these patients is by understanding the protein Z deficiency in these patients as a deciding factor in the success of the COA therapy.
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- 2021
8. The impact of transcatheter aortic valve implantation in patients with aortic stenosis
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Alina-Cristina Iliescu, Andra Oancea, Mihail Enache, Flavia Corciova, Andrei Tarus, Cristina Furnica, Elena Deju, Gr Tinică, Maria-Luiza Cobzeanu, and Raluca Ozana Chistol
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Aortic valve ,medicine.medical_specialty ,education.field_of_study ,Transcatheter aortic ,business.industry ,Population ,Atrial fibrillation ,General Medicine ,medicine.disease ,Stenosis ,medicine.anatomical_structure ,Aortic valve replacement ,Heart failure ,Internal medicine ,Propensity score matching ,cardiovascular system ,medicine ,Cardiology ,business ,education - Abstract
Aortic stenosis (AS) is the most common valvopathy in elderly patients, with an increasing prevalence due to aging process of population, current guidelines recommending transcatheter aortic valve implantation (TAVI) as a choice of intervention. Frailty is an important predictor of outcomes in AS patients who undergo TAVI, but there is no consensus in its preoperative evaluation. Aim: to compare the clinical outcomes of TAVI with conventionally surgically treated patients. Material and methods: The data of all aortic valve procedures performed in over 65 years patients, treated at Cardiovascular Institute from Iasi (January 2015-September 2019) were analyzed. The propensity score was used to compare the prognostic of patients. Results: The target group included 70 patients referred to TAVI compared to a second group of 98 patients who undergone surgical aortic valve replacement (SAVR). The mean age of TAVI patients was higher than SAVR group (76.47 vs. 64.37). The heart failure associated with the valvular pathology was more severe in the TAVI group (61.43% patients included NYHA class III and 35.71% patients NYHA class IV) compared to the SAVR group (58.16% patients were NYHA class III and 7.14% patients were NYHA class IV). Atrial fibrillation was the most frequent arrhythmia found in both groups (13.57% TAVI and 41.11% SAVR). Conclusions: The present study highlights the place of TAVI in current treatment of high surgically risk patients with SA.
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- 2021
9. APPLYING FISCAL IMPULSE IN ROMANIA IN PERIOD 2002-2013: DECREASING FISCAL PRESSURE VERSUS RISING TRANSFER PAYMENTS
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Antoniu PREDESCU, Elena DIACONU, Maria-Loredana POPESCU, and Mihaela-Diana OANCEA-NEGESCU
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fiscal policy ,impulse ,taxes ,economic growth ,interest rate ,Business ,HF5001-6182 - Abstract
The first goal of a market economy is to obtain and preserve, in long term, economic growth; for this goal, there are a number of tools – macroeconomic policies, there is: fiscal policy, monetary policy, budgetary policy, etc. – at disposal of policy makers, so as to make such a project come true. This is not so easy, however: all these tools must be carefully calibrated and carefully used. One of the most important policy is fiscal policy (which can be defined, in brief, as the sum of all measures, procedures, tools and policies a government uses so as to modify, to its liking, macroeconomic outcomes); an important tool, also, is monetary policy – which tinkers, so to speak, with money, in all its forms and shapes. This paper, however, it is not limited to simply assess, theoretically, best uses for fiscal policy; it aims to analyze, meaningfully, the effectiveness of fiscal policy in Romania, between years 2002 and 2013, in order, not only to state what did go wrong with it in that interval, but to establish best ways in which, in Romania, fiscal policy – and monetary policy – can be put to best use, inclusively in order to do what is to be done for achieving long-lasting economic growth in the future.
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- 2014
10. The quality of colorectal polypectomy. Is it enough to have just a visual assessment of the site?
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Andreea Doriana Stănculescu, Mirela Marinela Florescu, Mihaela Caliţa, Costin Teodor Streba, Petrică Popa, Dan Nicolae Florescu, Carmen Nicoleta Oancea, Dan Ionuţ Gheonea, and Adrian Saftoiu
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Embryology ,medicine.medical_specialty ,quality colonoscopy ,Biopsy ,medicine.medical_treatment ,Colonic Polyps ,Colonoscopy ,Pathology and Forensic Medicine ,Resection ,Internal medicine ,Visual assessment ,medicine ,Retrospective analysis ,Humans ,Retrospective Studies ,Original Paper ,medicine.diagnostic_test ,business.industry ,General surgery ,polypectomy ,Cell Biology ,General Medicine ,Hepatology ,long-term assessment ,Polypectomy ,Endoscopy ,incomplete resection margins ,Colorectal Neoplasms ,business ,Biopsy forceps ,Developmental Biology - Abstract
Introduction Performing a colonoscopy allows the examination of the entire colon and the assessment of polyps. Patients, materials and methods We performed a retrospective analysis of prospectively collected data from January 2018 until February 2020 (two years), in which we enrolled a number of 210 patients performing colonoscopy in the Research Center of Gastroenterology and Hepatology, University of Medicine and Pharmacy of Craiova, Romania. We performed 326 polypectomies. Results We classified the polyps into diminutive (n=169), small (n=103) and large polyps (n=54). Regarding the polypectomy technique, our results indicated that 40 out of 48 (83.3%) polypectomies with the biopsy forceps were complete, as well as 27 out of 31 (87.1%) cold snare polypectomies and 12 out of 14 (85.7%) hot snare polypectomies. The differences were not statistically significant (p=0.116). Regarding the number of incomplete polypectomies, our data suggests that the high expertise endoscopist had two incomplete resections (5.1% of total), the medium expertise endoscopist 1 had also two incomplete resections (11.1% of total), the medium expertise endoscopist 2 had three incomplete resections (15% of total), the limited expertise endoscopist 1 had three incomplete resections (27.27% of total) and the limited expertise endoscopist 2 had four incomplete resections (30.76% of total). Analyzing the data, the differences were statistically significant (p=0.006). Conclusions Our study is able to suggest that high-definition white-light endoscopy (HD-WLE) macroscopic visualization of the polyp resection site is not enough to assess complete polyp resection and follow-up colonoscopy should be performed for cases with incomplete margins of resection.
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- 2021
11. The implications of behavioural economics for pricing in a world of offer optimisation
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Octavian Oancea
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Value (ethics) ,Economics and Econometrics ,Revenue management ,business.industry ,Practice Article ,Strategy and Management ,Distribution (economics) ,Offer optimisation ,Context (language use) ,Investment (macroeconomics) ,Behavioural economics ,Willingness to pay ,Order (exchange) ,Business and International Management ,Marketing ,Innovation ,business ,Pricing ,Finance ,Consumer behaviour - Abstract
The impact of the COVID-19 on the industry has highlighted once again the need to create new ways of addressing consumers that would be less reliant on historic data, and more adjusted to recent observations of consumer behaviour, real time experiments and competitive context. This article addresses the implications of consumer behavioural economics in the design of offers and the way airlines will have to rethink the way they price in a New Distribution Capability (NDC) world, as defined by IATA. In a pandemic impacted era, this investment will show its fruits not only after, but also during the recovery phase, where travel behaviour is exceptionally different, capacity fluctuates and the competitive landscape is equally difficult to predict. We will discuss what challenges a pricing department is facing in this new world of offers, as well as how to overcome them in order to provide relevant and personalised offers to each consumer and price them according to the value that these offers bring. In the COVID-19 context as well as post-pandemic, airlines will need to not only respond quicker with capacity adjustments, but also to better understand human behaviour relative to a purchase decision and address each consumer with an optimised offer in real-time, as they request it. Some of the questions for which new artificial intelligence experimentation techniques and behavioural economics models will require significant development are: What drives a person to choose or not to choose a certain offer? How many choices should they see? What trip purpose segment do they belong to? What is their willingness to pay? What attributes of an offer are people considering and what value do they associate to these offers?
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- 2021
12. The Influence of Altering the Morphology of the First Mandibular Molar on Functional Mandibular Movements: A Pilot Study
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Luminita Oancea, Ioana Monica Vâlsan, Mihaela Rodica Păuna, Catalin Gagiu, and Alexandru Eugen Petre
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Orthodontics ,Dentition ,business.industry ,Lateral movement ,Condyle ,Sagittal plane ,Tooth morphology ,medicine.anatomical_structure ,stomatognathic system ,Sample size determination ,medicine ,business ,Mandibular molar ,Functional movement - Abstract
Purpose: Altering the tooth morphology is a frequent clinical situation and it requires replacing the lost tooth substance by direct/indirect treatment methods. The purpose of this study is to identify the optimal study group size to quantify the extent to which the change in dental morphology influences the amplitude and path of the mandibular movements at the condylar and dental level. Materials and Methods: The study was performed on 10 young participants, without associated joint pathology, with healthy complete dentition. The Zebris JMA System (Zebris Medical GmbH, Germany) condylograph were used. The condylar and occlusal parameters were registered, before and after the composite occlusal modification on the right first mandibular molar was made and data were synthesized as Excel Data. The SPSS2 software was used for statistical analyses, a descriptive analysis of the pair differences was performed, Kolmogorov-Smirnova and Shapiro-Wilk tests were applied to verify the normality, paired sample test for 0,05 level of significance and 80% power was applied to determine the proper sample size. Conclusion: The results show a change in movement parameters at both condylar and dental level: the sagittal motion of the condyle on both sides tends to have a more vertical trajectory, the incisal guidance in protrusion and the guidance in the lateral movement on the modified part are steeper, lateral movement guidance on the other side is shallower, a tendency of retrusion is noted in both condyles. Respecting original dental morphology is essential for functional harmonious integration of the restoration.
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- 2021
13. An end-to-end statistical process with mobile network data for official statistics
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Luis Sanguiao, Sandra Barragán, David Salgado, Marian Necula, and Bogdan Oancea
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Computer science ,Process (engineering) ,Population ,Computer applications to medicine. Medical informatics ,R858-859.7 ,computer.software_genre ,Synthetic data ,03 medical and health sciences ,Mobile network data ,0502 economics and business ,Hidden Markov model ,education ,Official statistics ,030304 developmental biology ,Statistical production process ,0303 health sciences ,education.field_of_study ,business.industry ,05 social sciences ,Modular design ,Statistical process control ,Computer Science Applications ,Computational Mathematics ,Estadística matemática ,Production framework ,Modeling and Simulation ,Cellular network ,Data mining ,business ,Mobile device ,computer ,050212 sport, leisure & tourism - Abstract
Mobile network data has been proven to provide a rich source of information in multiple statistical domains such as demography, tourism, urban planning, etc. However, the incorporation of this data source to the routinely production of official statistics is taking many efforts since a diversity of highly entangled issues (access, methodology, IT tools, quality, skills) must be solved beforehand. To do this, one-off studies with concrete data sets are not enough and a standard statistical production process must be put in place. We propose a concrete modular process structured into evolvable modules detaching the strongly technological layer underlying this data source from the necessary statistical analysis producing outputs of interest. This architecture follows the principles of the so-called ESS Reference Methodological Framework for Mobile Network Data. Each of these modules deals with a different aspect of this data source. We apply hidden Markov models for the geolocation of mobile devices, use a Bayesian approach on this model to disambiguate devices belonging to the same individual, compute aggregate numbers of individuals detected by a telecommunication network using probability theory, and model hierarchically the integration of auxiliary information from the telco market and official data to produce final estimates of the number of individuals across different territorial regions in the target population. A first simple illustrative proposal has been applied to synthetic data providing preliminary software tools and accuracy indicators monitoring the performance of the process. Currently, this exercise has been applied to the estimation of present population and origin-destination matrices. We present an illustrative example of the execution of these production modules comparing results with the simulated ground truth, thus assessing the performance of each production module.
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- 2021
14. Impact of a clinical pharmacist on ultrasound-guided venous thromboembolism screening in hospitalized COVID-19 patients: a pilot prospective study
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Jacob Speybroeck, Htay Phyu, Rashid Z. Khan, Daniel H. Fulkerson, Abraham Leiser, Anne Grisoli, Connor M. Bunch, Jason Jablonski, Meredith Wierman Schmidt, Lyndsay Oancea, Faisal Shariff, Byars Wells, John E. Stillson, Laura Gillespie, and Mark Walsh
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medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,lcsh:RS1-441 ,Pharmacology (nursing) ,Pharmacy ,030204 cardiovascular system & hematology ,Asymptomatic ,lcsh:Pharmacy and materia medica ,03 medical and health sciences ,Anticoagulation ,0302 clinical medicine ,Pharmacotherapy ,Ultrasound ,Coagulopathy ,Medicine ,Pharmacology (medical) ,Prospective cohort study ,business.industry ,lcsh:RM1-950 ,COVID-19 ,030208 emergency & critical care medicine ,medicine.disease ,Hypercoagulable ,Clinical pharmacy ,Clinical pharmacist ,lcsh:Therapeutics. Pharmacology ,Emergency medicine ,medicine.symptom ,business ,Venous thromboembolism ,Research Article - Abstract
BackgroundThe recognition, prevention and treatment of venous thromboembolism (VTE) remains a major challenge in the face of the recent COVID-19 pandemic which has been associated with significant cardiovascular, renal, respiratory and hematologic complications related to hypercoagulability. There has been little literature thus far on the utility of screening ultrasound and the role of the clinical pharmacist in treating these patients.MethodsWe present a prospective pilot program of thirty-one consecutive COVID-19 patients who were provided four extremity screening ultrasounds for VTE on admission. This was coordinated by a clinical pharmacist as part of a multidisciplinary approach. Quantitative and qualitative data were recorded with the goal of describing the utility of the clinical pharmacist in ultrasound screening. Data collected include demographics, information on clinical symptoms or signs at presentation, and laboratory and radiologic results during the hospitalization from each individual electronic medical record.ResultsNine of the thirty-one patients presented with VTE. Of the nine patients, there were twenty-two total clotted vessels, all of which were asymptomatic. The clinical pharmacist, as the coordinator for a multidisciplinary COVID-19 associated coagulopathy management team, drafted a screening and treatment protocol for anticoagulation prophylaxis and therapy of VTE after ultrasound findings.ConclusionVTE screening of hospitalized COVID-19 patients reveals a significant number of asymptomatic VTEs and justifies diagnostic, prophylactic, and treatment measures coordinated by a clinical pharmacist.
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- 2021
15. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019
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Paulson, K. R., Kamath, A. M., Alam, T., Bienhoff, K., Abady, G. G., Abbas, J., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abd-Elsalam, S. M., Abdoli, A., Abedi, A., Abolhassani, H., Abreu, L. G., Abu-Gharbieh, E., Abu-Rmeileh, N. M. E., Abushouk, A. I., Adamu, A. L., Adebayo, O. M., Adegbosin, A. E., Adekanmbi, V., Adetokunboh, O. O., Adeyinka, D. A., Adsuar, J. C., Afshari, K., Aghaali, M., Agudelo-Botero, M., Ahinkorah, B. O., Ahmad, T., Ahmadi, K., Ahmed, M. B., Aji, B., Akalu, Y., Akinyemi, O. O., Aklilu, A., Al-Aly, Z., Alam, K., Alanezi, F. M., Alanzi, T. M., Alcalde-Rabanal, J. E., Al-Eyadhy, A., Ali, T., Alicandro, G., Alif, S. M., Alipour, V., Alizade, H., Aljunid, S. M., Almasi-Hashiani, A., Almasri, N. A., Al-Mekhlafi, H. M., Alonso, J., Al-Raddadi, R. M., Altirkawi, K. A., Alumran, A. K., Alvis-Guzman, N., Alvis-Zakzuk, N. J., Ameyaw, E. K., Amini, S., Amini-Rarani, M., Amit, A. M. L., Amugsi, D. A., Ancuceanu, R., Anderlini, D., Andrei, C. 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R., Sarrafzadegan, N., Sarveazad, A., Sathian, B., Sathish, T., Sattin, D., Saxena, S., Saya, G. K., Saylan, M., Schiavolin, S., Schlaich, M. P., Schwebel, D. C., Schwendicke, F., Senthilkumaran, S., Sepanlou, S. G., Servan-Mori, E., Sha, F., Shafaat, O., Shahabi, S., Shahbaz, M., Shaheen, A. A., Shahid, I., Shaikh, M. A., Shakiba, S., Shalash, A. S., Shams-Beyranvand, M., Shannawaz, M., Sharafi, K., Sheikh, A., Sheikhbahaei, S., Shiferaw, W. S., Shigematsu, M., Shin, J. I., Shiri, R., Shiue, I., Shuval, K., Siddiqi, T. J., Sidemo, N. B., Sigfusdottir, I. D., Sigurvinsdottir, R., Silva, J. P., Silverberg, J. I. S., Simonetti, B., Singh, B. B., Singh, J. A., Singhal, D., Sinha, D. N., Skiadaresi, E., Skryabin, V. Y., Skryabina, A. A., Sleet, D. A., Sobaih, B. H., Sobhiyeh, M. R., Soltani, S., Soriano, J. B., Spurlock, E. E., Sreeramareddy, C. T., Steiropoulos, P., Stokes, M. A., Stortecky, S., Sufiyan, M. B., Suliankatchi Abdulkader, R., Sulo, G., Swope, C. B., Sykes, B. L., Szeto, M. D., Szocska, M., Tabares-Seisdedos, R., Tadesse, E. G., Taherkhani, A., Tamiru, A. T., Tareque, M. I., Tehrani-Banihashemi, A., Temsah, M. -H., Tesfay, F. H., Tessema, G. A., Tessema, Z. T., Thankappan, K. R., Thapar, R., Tolani, M. A., Tovani-Palone, M. R., Traini, E., Tran, B. X., Tripathy, J. P., Tsapparellas, G., Tsatsakis, A., Tudor Car, L., Uddin, R., Ullah, A., Umeokonkwo, C. D., Unim, B., Unnikrishnan, B., Upadhyay, E., Usman, M. S., Vacante, M., Vaezi, M., Valadan Tahbaz, S., Valdez, P. R., Vasankari, T. J., Venketasubramanian, N., Verma, M., Violante, F. S., Vlassov, V., Vo, B., Vu, G. T., Wado, Y. D., Waheed, Y., Wamai, R. G., Wang, Y., Wang, Y. -P., Ward, P., Werdecker, A., Westerman, R., Wickramasinghe, N. D., Wilner, L. B., Wiysonge, C. S., Wu, A. -M., Wu, C., Xie, Y., Yahyazadeh Jabbari, S. H., Yamagishi, K., Yandrapalli, S., Yaya, S., Yazdi-Feyzabadi, V., Yip, P., Yonemoto, N., Yoon, S. -J., Younis, M. Z., Yousefi, Z., Yousefinezhadi, T., Yu, C., Yusuf, S. S., Zaidi, S. S., Zaman, S. B., Zamani, M., Zamanian, M., Zastrozhin, M. S., Zastrozhina, A., Zhang, Y., Zhang, Z. -J., Zhao, X. -J. G., Ziapour, A., Hay, S. I., Murray, C. J. L., Wang, H., Kassebaum, N. J., Clinicum, Neurologian yksikkö, HUS Neurocenter, HUS Comprehensive Cancer Center, University of Helsinki, Department of Oncology, Paulson, K, Kamath, A, Alam, T, Bienhoff, K, Abady, G, Abbas, J, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abd-Elsalam, S, Abdoli, A, Abedi, A, Abolhassani, H, Abreu, L, Abu-Gharbieh, E, Abu-Rmeileh, N, Abushouk, A, Adamu, A, Adebayo, O, Adegbosin, A, Adekanmbi, V, Adetokunboh, O, Adeyinka, D, Adsuar, J, Afshari, K, Aghaali, M, Agudelo-Botero, M, Ahinkorah, B, Ahmad, T, Ahmadi, K, Ahmed, M, Aji, B, Akalu, Y, Akinyemi, O, Aklilu, A, Al-Aly, Z, Alam, K, Alanezi, F, Alanzi, T, Alcalde-Rabanal, J, Al-Eyadhy, A, Ali, T, Alicandro, G, Alif, S, Alipour, V, Alizade, H, Aljunid, S, Almasi-Hashiani, A, Almasri, N, Al-Mekhlafi, H, Alonso, J, Al-Raddadi, R, Altirkawi, K, Alumran, A, Alvis-Guzman, N, Alvis-Zakzuk, N, Ameyaw, E, Amini, S, Amini-Rarani, M, Amit, A, Amugsi, D, Ancuceanu, R, Anderlini, D, Andrei, C, Ansari, F, Ansari-Moghaddam, A, Antonio, C, Antriyandarti, E, Anvari, D, Anwer, R, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arnlov, J, Artanti, K, Arzani, A, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, A, Asghari Jafarabadi, M, Athari, S, Atnafu, D, Atreya, A, Atteraya, M, Ausloos, M, Awan, A, Ayala Quintanilla, B, Ayano, G, Ayanore, M, Aynalem, Y, Azari, S, Azarian, G, Azene, Z, B, D, Babaee, E, Badiye, A, Baig, A, Banach, M, Banik, P, Barker-Collo, S, Barqawi, H, Bassat, Q, Basu, S, Baune, B, Bayati, M, Bedi, N, Beghi, E, Beghi, M, Bell, M, Bendak, S, Bennett, D, Bensenor, I, Berhe, K, Berman, A, Bezabih, Y, Bhagavathula, A, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, Z, Bikbov, B, Biondi, A, Birihane, B, Biswas, R, Bohlouli, S, Bragazzi, N, Breusov, A, Brunoni, A, Burkart, K, Burugina Nagaraja, S, Busse, R, Butt, Z, Caetano dos Santos, F, Cahuana-Hurtado, L, Camargos, P, Camera, L, Cardenas, R, Carreras, G, Carrero, J, Carvalho, F, Castaldelli-Maia, J, Castaneda-Orjuela, C, Castelpietra, G, Cerin, E, Chang, J, Chanie, W, Charan, J, Chatterjee, S, Chattu, S, Chattu, V, Chaturvedi, S, Chen, S, Cho, D, Choi, J, Chu, D, Ciobanu, L, Cirillo, M, Conde, J, Costa, V, Couto, R, Dachew, B, Dahlawi, S, Dai, H, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darmstadt, G, Das, J, Davila-Cervantes, C, Davis, A, Davletov, K, De la Hoz, F, De Leo, D, Deeba, F, Denova-Gutierrez, E, Dervenis, N, Desalew, A, Deuba, K, Dey, S, Dharmaratne, S, Dhingra, S, Dhungana, G, Dias da Silva, D, Diaz, D, Dorostkar, F, Doshmangir, L, Dubljanin, E, Duraes, A, Eagan, A, Edinur, H, Efendi, F, Eftekharzadeh, S, El Sayed, I, El Tantawi, M, Elbarazi, I, Elgendy, I, El-Jaafary, S, Emami, A, Enany, S, Eyawo, O, Ezzikouri, S, Faris, P, Farzadfar, F, Fattahi, N, Fauk, N, Fazlzadeh, M, Feigin, V, Ferede, T, Fereshtehnejad, S, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, J, Foigt, N, Folayan, M, Foroutan, M, Franklin, R, Freitas, M, Friedman, S, Fukumoto, T, Gad, M, Gaidhane, A, Gaidhane, S, Gaihre, S, Gallus, S, Garcia-Basteiro, A, Garcia-Gordillo, M, Gardner, W, Gaspar Fonseca, M, Gebremedhin, K, Getacher, L, Ghashghaee, A, Gholamian, A, Gilani, S, Gill, T, Giussani, G, Gnedovskaya, E, Godinho, M, Goel, A, Golechha, M, Gona, P, Gopalani, S, Goudarzi, H, Grivna, M, Gugnani, H, Guido, D, Guimaraes, R, Gupta, R, Hafezi-Nejad, N, Haider, M, Haj-Mirzaian, A, Hamidi, S, Hanif, A, Hankey, G, Hargono, A, Hasaballah, A, Hasan, M, Hasan, S, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, R, Hayat, K, Heidari-Soureshjani, R, Henry, N, Herteliu, C, Hole, M, Holla, R, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Hwang, B, Iavicoli, I, Ibitoye, S, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Inamdar, S, Inbaraj, L, Iqbal, K, Iqbal, U, Islam, M, Islam, S, Iso, H, Iwagami, M, Iwu, C, Jaafari, J, Jacobsen, K, Jagnoor, J, Jain, V, Janodia, M, Javaheri, T, Javanmardi, F, Jayaram, S, Jayatilleke, A, Jenabi, E, Jha, R, Ji, J, John, O, Jonas, J, Joo, T, Joseph, N, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, L, Kamyari, N, Kanchan, T, Kapoor, N, Karami Matin, B, Karch, A, Karimi, S, Kassahun, G, Kayode, G, Kazemi Karyani, A, Kemmer, L, Khalid, N, Khalilov, R, Khammarnia, M, Khan, E, Khan, G, Khan, M, Khang, Y, Khatab, K, Khater, A, Khater, M, Khayamzadeh, M, Khosravi, A, Kim, D, Kim, Y, Kimokoti, R, Kisa, A, Kisa, S, Kissoon, N, Kopec, J, Kosen, S, Koul, P, Koulmane Laxminarayana, S, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Kuate Defo, B, Kucuk Bicer, B, Kulkarni, V, Kumar, G, Kumar, M, Kumar, N, Kurmi, O, Kusuma, D, La Vecchia, C, Lacey, B, Lalloo, R, Lami, F, Landires, I, Larsson, A, Lasrado, S, Lassi, Z, Lauriola, P, Lee, P, Lee, S, Lee, Y, Leigh, J, Leonardi, M, Lewycka, S, Li, B, Li, S, Liang, J, Lim, L, Limenih, M, Lin, R, Liu, X, Lodha, R, Lopez, A, Lozano, R, Lugo, A, Lunevicius, R, Mackay, M, Madhava Kunjathur, S, Magnani, F, Mahadeshwara Prasad, D, Maheri, M, Mahmoudi, M, Majeed, A, Maled, V, Maleki, A, Maleki, S, Malekzadeh, R, Malik, A, Malta, D, Mamun, A, Mansouri, B, Mansournia, M, Martinez, G, Martini, S, Martins-Melo, F, Masoumi, S, Maulik, P, Mcalinden, C, Mcgrath, J, Medina-Solis, C, Mehrabi Nasab, E, Mejia-Rodriguez, F, Memish, Z, Mendoza, W, Menezes, R, Mengesha, E, Mensah, G, Meretoja, A, Meretoja, T, Mersha, A, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mini, G, Miri, M, Mirica, A, Mirrakhimov, E, Mirzaei, H, Mirzaei, M, Moazen, B, Moghadaszadeh, M, Mohajer, B, Mohamad, O, Mohammad, Y, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, A, Molokhia, M, Monasta, L, Mondello, S, Moni, M, Moore, C, Moradi, G, Moradi, M, Moradzadeh, R, Moraga, P, Morawska, L, Morrison, S, Mosser, J, Mousavi Khaneghah, A, Mustafa, G, Naderi, M, Nagarajan, A, Nagaraju, S, Naghavi, M, Naghshtabrizi, B, Naimzada, M, Nangia, V, Narasimha Swamy, S, Nascimento, B, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Negoi, R, Nena, E, Nepal, S, Netsere, H, Nguefack-Tsague, G, Ngunjiri, J, Nguyen, C, Nguyen, H, Nigatu, Y, Nigussie, S, Nixon, M, Nnaji, C, Nomura, S, Noor, N, Noubiap, J, Nunez-Samudio, V, Nwatah, V, Oancea, B, Odukoya, O, Ogbo, F, Olusanya, B, Olusanya, J, Omar Bali, A, Onwujekwe, O, Ortiz, A, Otoiu, A, Otstavnov, N, Otstavnov, S, Owolabi, M, P A, M, Padubidri, J, Pakhale, S, Pakshir, K, Pal, P, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Pandi-Perumal, S, Pangaribuan, H, Pardo-Montano, A, Park, E, Patel, S, Patton, G, Pawar, S, Pazoki Toroudi, H, Peden, A, Pepito, V, Peprah, E, Pereira, J, Perez-Gomez, J, Perico, N, Pesudovs, K, Pilgrim, T, Pinheiro, M, Piradov, M, Pirsaheb, M, Platts-Mills, J, Pokhrel, K, Postma, M, Pourjafar, H, Prada, S, Prakash, S, Pupillo, E, Quazi Syed, Z, Rabiee, N, Radfar, A, Rafiee, A, Rafiei, A, Raggi, A, Rahimzadeh, S, Rahman, M, Rahmani, A, Ramezanzadeh, K, Rana, J, Ranabhat, C, Rao, S, Rasella, D, Rastogi, P, Rathi, P, Rawaf, D, Rawaf, S, Rawasia, W, Rawassizadeh, R, Reiner, R, Remuzzi, G, Renzaho, A, Reshmi, B, Resnikoff, S, Rezaei, N, Rezapour, A, Riahi, S, Ribeiro, D, Rickard, J, Roever, L, Ronfani, L, Rothenbacher, D, Rubagotti, E, Rumisha, S, Ryan, P, Saddik, B, Sadeghi, E, Saeedi Moghaddam, S, Sagar, R, Sahebkar, A, Salahshoor, M, Salehi, S, Salem, M, Salimzadeh, H, Salomon, J, Samodra, Y, Samy, A, Sanabria, J, Santric-Milicevic, M, Saraswathy, S, Sarker, A, Sarrafzadegan, N, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Saya, G, Saylan, M, Schiavolin, S, Schlaich, M, Schwebel, D, Schwendicke, F, Senthilkumaran, S, Sepanlou, S, Servan-Mori, E, Sha, F, Shafaat, O, Shahabi, S, Shahbaz, M, Shaheen, A, Shahid, I, Shaikh, M, Shakiba, S, Shalash, A, Shams-Beyranvand, M, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shiferaw, W, Shigematsu, M, Shin, J, Shiri, R, Shiue, I, Shuval, K, Siddiqi, T, Sidemo, N, Sigfusdottir, I, Sigurvinsdottir, R, Silva, J, Silverberg, J, Simonetti, B, Singh, B, Singh, J, Singhal, D, Sinha, D, Skiadaresi, E, Skryabin, V, Skryabina, A, Sleet, D, Sobaih, B, Sobhiyeh, M, Soltani, S, Soriano, J, Spurlock, E, Sreeramareddy, C, Steiropoulos, P, Stokes, M, Stortecky, S, Sufiyan, M, Suliankatchi Abdulkader, R, Sulo, G, Swope, C, Sykes, B, Szeto, M, Szocska, M, Tabares-Seisdedos, R, Tadesse, E, Taherkhani, A, Tamiru, A, Tareque, M, Tehrani-Banihashemi, A, Temsah, M, Tesfay, F, Tessema, G, Tessema, Z, Thankappan, K, Thapar, R, Tolani, M, Tovani-Palone, M, Traini, E, Tran, B, Tripathy, J, Tsapparellas, G, Tsatsakis, A, Tudor Car, L, Uddin, R, Ullah, A, Umeokonkwo, C, Unim, B, Unnikrishnan, B, Upadhyay, E, Usman, M, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Valdez, P, Vasankari, T, Venketasubramanian, N, Verma, M, Violante, F, Vlassov, V, Vo, B, Vu, G, Wado, Y, Waheed, Y, Wamai, R, Wang, Y, Ward, P, Werdecker, A, Westerman, R, Wickramasinghe, N, Wilner, L, Wiysonge, C, Wu, A, Wu, C, Xie, Y, Yahyazadeh Jabbari, S, Yamagishi, K, Yandrapalli, S, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yonemoto, N, Yoon, S, Younis, M, Yousefi, Z, Yousefinezhadi, T, Yu, C, Yusuf, S, Zaidi, S, Zaman, S, Zamani, M, Zamanian, M, Zastrozhin, M, Zastrozhina, A, Zhang, Y, Zhang, Z, Zhao, X, Ziapour, A, Hay, S, Murray, C, Wang, H, Kassebaum, N, and Lee Kong Chian School of Medicine (LKCMedicine)
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Male ,Perinatal care ,Newborn care ,STILLBIRTHS ,RJ101 ,UNDER-5 MORTALITY ,Psychological intervention ,010501 environmental sciences ,Infant mortality ,Global Health ,01 natural sciences ,0302 clinical medicine ,RA0421 ,Cause of Death ,Infant Mortality ,Global health ,Life Tables ,Healthcare improvements ,030212 general & internal medicine ,610 Medicine & health ,Child ,COVID-19 ,Humans ,Infant ,SARS-CoV-2 ,Sustainable Development ,11 Medical and Health Sciences ,Cause of death ,Life Table ,Mortality rate ,1. No poverty ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,Articles ,Hälsovetenskaper ,Mortality analyses ,3. Good health ,Child, Preschool ,SDG 1 - No Poverty ,Child Mortality ,Female ,Life Sciences & Biomedicine ,Human ,Child mortality ,COUNTRIES ,DEATHS ,Infants -- Mortalitat ,GBD ,03 medical and health sciences ,Medicine, General & Internal ,SDG 3 - Good Health and Well-being ,Life tables ,under-5 mortality rate ,General & Internal Medicine ,Health Sciences ,Neonatal deaths ,medicine ,SYSTEMATIC ANALYSIS ,Medicine [Science] ,Infants -- Salut ,Preschool ,0105 earth and related environmental sciences ,Science & Technology ,Infants nadons -- Salut ,business.industry ,Infants nadons -- Mortalitat ,INFORM ,Infant, Newborn ,Neonatal and child health ,Sustainable Development Goal 3.2 ,GBD 2019 Under-5 Mortality Collaborators ,medicine.disease ,Newborn ,TRENDS ,Sustainable Development Goal ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Deaths ,3121 General medicine, internal medicine and other clinical medicine ,RG ,business ,Systematic Analysis ,Malaria ,Demography - Abstract
Background: Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival. Methods: We completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (U5MR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index. Findings: Global U5MR decreased from 71·2 deaths per 1000 livebirths (95% uncertainty interval [UI] 68·3-74·0) in 2000 to 37·1 (33·2-41·7) in 2019 while global NMR correspondingly declined more slowly from 28·0 deaths per 1000 live births (26·8-29·5) in 2000 to 17·9 (16·3-19·8) in 2019. In 2019, 136 (67%) of 204 countries had a U5MR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030, 154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9·65 million (95% UI 9·05-10·30) in 2000 and 5·05 million (4·27-6·02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3·76 million [95% UI 3·53-4·02]) in 2000 to 48% (2·42 million; 2·06-2·86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0·80 (95% UI 0·71-0·86) deaths per 1000 livebirths and U5MR to 1·44 (95% UI 1·27-1·58) deaths per 1000 livebirths, and in 2019, there were as many as 1·87 million (95% UI 1·35-2·58; 37% [95% UI 32-43]) of 5·05 million more deaths of children younger than 5 years than the survival potential frontier. Interpretation: Global child mortality declined by almost half between 2000 and 2019, but progress remains slower in neonates and 65 (32%) of 204 countries, mostly in sub-Saharan Africa and south Asia, are not on track to meet either SDG 3.2 target by 2030. Focused improvements in perinatal and newborn care, continued and expanded delivery of essential interventions such as vaccination and infection prevention, an enhanced focus on equity, continued focus on poverty reduction and education, and investment in strengthening health systems across the development spectrum have the potential to substantially improve U5MR. Given the widespread effects of COVID-19, considerable effort will be required to maintain and accelerate progress. This article was supported by the European Research Council, ERC 848325. Alberto Ortiz was supported by FIS/Fondos FEDER (PI18/01366, PI19/00588, PI19/00815, DTS18/00032, ERA-PerMed-JTC2018 (KIDNEY ATTACK AC18/00064 and PERSTIGAN AC18/00071, ISCIII-RETIC REDinREN RD016/0009). Daniela Ribeiro acknowledges the financial support from the European Union [FEDER funds through COMPETE, POCI-01-0145-FEDER-029253). Joan B Soriano acknowledges support from the Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain Funding: Bill & Melinda Gates Foundation
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16. From peri-implantitis to dental emergency – minor, medium, major?
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Corina Marilena Cristache, Gabriela Tănase, Claudia-Camelia Burcea, Constantin Florin Drăgan, Ilinca Ana Lazăr, Augustin Mihai, Luminița Oancea, Mihai Burlibașa, Oana Eftene, Liliana Moraru, Iuliana Babiuc, Liliana Burlibașa, Pharmacy, Bucharest, Romania, Ileana Ionescu, Viorel Stefan Perieanu, and Madalina Violeta Perieanu
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Medicine (General) ,Peri-implantitis ,business.industry ,Dental emergency ,Dentistry ,R5-920 ,Materials Chemistry ,medicine ,Medicine ,peri-implant diseases ,medicine.symptom ,business ,dental emergencies ,peri-implantitis - Abstract
Introduction. Peri-implantitis is a condition of the tissues adjacent to dental implants, which can occur in patients with implant-prosthetic restorations, following inadequate prophylactic measures. However, these peri-implants, untreated or improperly treated, can lead over time to quite severe complications, which can quickly turn into emergencies of low, medium or increased intensity in the usual dental care. Purpose. Peri-implantitis is not a major dental emergency, but ignoring and/or treating it incorrectly can lead to complications that are considered major in dentistry. That is why we tried through this study to verify the knowledge related to peri-implantitis as well as the complications that may arise from the nontreatment of these diseases, among the practitioners involved in this field. Material and method. The study was conducted with the help of 37 specialists involved in implantprosthetic treatments, aged between 37 and 53 years, using a 7-point questionnaire. Results and discussions. The results show the concern of specialists in the field of oral implantology regarding peri-implantitis, as well as the complications arising from them. Conclusions. Knowing the causes but also the complications arising from peri-implantitis are very important for the creating preventive programs, which with a reduced effort bring the long-term success of implant supported restorations.
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- 2021
17. Self‐reported sleep disturbance and mild cognitive impairment in COPD patients with severe airflow limitation
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Mirela Frandes, Paula Irina Barata, Emanuela Tudorache, Monica Marc, Dana Cristina Olar, Alexandru Crişan, and Cristian Oancea
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Sleep Wake Disorders ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Disease ,Severity of Illness Index ,Pulmonary Disease, Chronic Obstructive ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Immunology and Allergy ,Cognitive Dysfunction ,Lung volumes ,030212 general & internal medicine ,Risk factor ,Cognitive decline ,Genetics (clinical) ,Sleep disorder ,COPD ,business.industry ,Cognition ,medicine.disease ,030228 respiratory system ,Quality of Life ,Observational study ,Self Report ,Sleep ,business - Abstract
INTRODUCTION COPD has multiple extrapulmonary manifestations and the latest studies have focused on cognitive dysfunction effects on sleep quality. The purpose of this study is to assess if there is a relationship between sleep quality and cognitive decline in COPD patients with severe airflow limitation. METHODS We performed an observational study to determine if there is a link between cognitive function and sleep quality. The included patients were divided into two groups: a group with COPD patients and control group. We evaluated lung volumes, cognitive function, sleep quality and disease impact on the quality of life. RESULTS Most of the COPD patients presented mild cognitive impairment (MCI) (95.7%), compared with only 24.1% in the control group (Pearson chi-square χ2 (1) = 42.560, p
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- 2021
18. Air pollution exposure—the (in)visible risk factor for respiratory diseases
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Emanuela Tudorache, Radu Motișan, Cristian Oancea, Gabriel-Petrică Bălă, and Ruxandra-Mioara Râjnoveanu
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Respiratory diseases ,Ozone ,Health, Toxicology and Mutagenesis ,Nitrogen Dioxide ,Air pollution ,Review Article ,010501 environmental sciences ,medicine.disease_cause ,01 natural sciences ,Exposure ,03 medical and health sciences ,chemistry.chemical_compound ,Idiopathic pulmonary fibrosis ,Risk Factors ,Environmental health ,medicine ,Humans ,Sulfur Dioxide ,Environmental Chemistry ,Respiratory system ,Air quality index ,0105 earth and related environmental sciences ,Asthma ,Air Pollutants ,0303 health sciences ,Bronchiectasis ,business.industry ,Chronic obstructive pulmonary disease ,030311 toxicology ,Environmental Exposure ,General Medicine ,Particulates ,medicine.disease ,Pollution ,chemistry ,Particulate Matter ,Lung cancer ,business - Abstract
There is increasing interest in understanding the role of air pollution as one of the greatest threats to human health worldwide. Nine of 10 individuals breathe air with polluted compounds that have a great impact on lung tissue. The nature of the relationship is complex, and new or updated data are constantly being reported in the literature. The goal of our review was to summarize the most important air pollutants and their impact on the main respiratory diseases (chronic obstructive pulmonary disease, asthma, lung cancer, idiopathic pulmonary fibrosis, respiratory infections, bronchiectasis, tuberculosis) to reduce both short- and the long-term exposure consequences. We considered the most important air pollutants, including sulfur dioxide, nitrogen dioxide, carbon monoxide, volatile organic compounds, ozone, particulate matter and biomass smoke, and observed their impact on pulmonary pathologies. We focused on respiratory pathologies, because air pollution potentiates the increase in respiratory diseases, and the evidence that air pollutants have a detrimental effect is growing. It is imperative to constantly improve policy initiatives on air quality in both high- and low-income countries.
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- 2021
19. A novel experimental approach to evaluate guided bone regeneration (GBR) in the rat femur using a 3D-printed CAD/CAM zirconia space-maintaining barrier
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Ada Codreanu, Alexandru Petre, Sergiu Drafta, Cornel Balta, Iuliana Urzica, Nicoleta Anghel-Zurbau, Sorina Dinescu, Bianca Onita-Mladin, Sami Gharbia, Simona-Rebeca Ignat, Hildegard Herman, Luminita Oancea, Andrei-Gelu Hermenean, and Anca Hermenean
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0301 basic medicine ,GAPDH, glyceraldehyde 3-phosphate dehydrogenase ,PGA, poly(glycolic acid) ,Bone tissue ,Bone remodeling ,0302 clinical medicine ,OSX, osterix ,Medicine ,Bone mineral ,lcsh:R5-920 ,Multidisciplinary ,PLA, poly(lactic acid) ,CAD/CAM, computer-aided design/computer-aided manufacturing ,PCL, poly(e-caprolactone) ,VEGF, vascular endothelial growth factor ,Bone regeneration ,medicine.anatomical_structure ,VEGFR, vascular endothelial growth factor receptor ,030220 oncology & carcinogenesis ,lcsh:Medicine (General) ,GBR, guided bone regeneration ,PBS, phosphate-buffered saline ,Bioengineering ,Orthodontics ,Article ,Osseointegration ,03 medical and health sciences ,FBS, fetal bovine serum ,PDGFRβ, platelet-derived growth factor receptor β ,Femur ,lcsh:Science (General) ,Dental alveolus ,ComputingMethodologies_COMPUTERGRAPHICS ,Guided tissue regeneration ,business.industry ,IVC, individually ventilated cage ,OCN, osteocalcin ,030104 developmental biology ,Dentistry ,OPN, osteopontin ,Zirconia ,Implant ,PFA, paraformaldehyde ,business ,lcsh:Q1-390 ,DAPI, 4′,6-diamidino-2-phenylindole ,ePTFE, expanded polytetrafluoroethylene ,Biomedical engineering - Abstract
Graphical abstract, Introduction Obtaining a certain bone volume is an important goal in implantology or orthopedics. Thus, after tooth extraction, quite a lot of horizontal and vertical alveolar bone is lost in time and can be detrimental to the implant treatment outcome, while the treatment of critical bone defects is a considerable challenge for surgery. Objectives In this study we designed a new in vivo model as an useful experimental tool to assess guided bone regeneration (GBR) using a computer-aided design/manufacturing (CAD-CAM) space-maintaining barrier. Methods The barrier was 3D printed with three progressive heights, surgically placed on rat femur, and GBR results were analyzed at 2, 4, and 8 weeks by X-ray and bone mineral density analysis, histology/morphometry and by immunofluorescence and immunohistochemistry for osteogenesis and angiogenesis evaluation. Results The obtained results show that the proposed experimental model provides a real-time useful information on progressive bone tissue formation, which depends on the volume of isolated space created for GBR and on molecular events that lead to satisfactory vertical and horizontal bone augmentation and osteointegration. Conclusion In conclusion, the proposed customized three-dome space-maintaining barrier is suitable as an experimental tool to assess the potential of using the designed barriers in dentistry and orthopedics to promote the formation of new bone and determine their space- and time-dependent limitations. Meanwhile, guided bone augmentation for dentistry requires subsequent evaluation on an alveolar bone preclinical model followed by clinical implementation.
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- 2021
20. Value of endoscopy with narrow-band imaging and probe-based confocal laser endomicroscopy in the diagnosis of preneoplastic lesions of gastrointestinal tract
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Andreea Doriana Stănculescu, D. Georgescu, Raluca Niculina Ciurea, Bogdan Silviu Ungureanu, Carmen Nicoleta Oancea, Dan Ionuţ Gheonea, Mihaela Caliţa, Costin Teodor Streba, Petrică Popa, Vlad Florin Iovănescu, and Dan Nicolae Florescu
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Embryology ,medicine.medical_specialty ,preneoplastic lesions ,Pathology and Forensic Medicine ,Lesion ,Narrow Band Imaging ,medicine ,Humans ,chromoendoscopy ,Confocal laser endomicroscopy ,Gastrointestinal tract ,Original Paper ,Narrow-band imaging ,Microscopy, Confocal ,medicine.diagnostic_test ,business.industry ,Lasers ,Endoscopy ,Cell Biology ,General Medicine ,Resident physician ,Experienced nurse ,Gastrointestinal Tract ,Digestive tract ,Radiology ,medicine.symptom ,business ,Developmental Biology ,confocal laser endomicroscopy based on mini samples - Abstract
Introduction Amongst all malignant tumors, cancers of the digestive tract rank first in terms of yearly deaths. Patients above 60 years of age are the most affected, as the diagnosis is frequently made in advanced stages of the disease when therapy is less effective. Our study aimed to evaluate the efficiency of narrow-band imaging (NBI) endoscopy and probe-based confocal laser endomicroscopy (pCLE) in the correct diagnosis of preneoplastic lesions in the upper and lower digestive tract. Patients, materials and methods We included 46 patients with digestive preneoplastic lesions, who underwent either upper or lower digestive endoscopy, followed by NBI and pCLE. We recorded 5-10 frames per each lesion, from different angles and distances during white-light endoscopy and selected frames from full recordings of NBI and pCLE. Usual preparation was used for the endoscopic procedures; pCLE required in vivo administration of 10% Sodium Fluorescein as a contrast agent. Pathology was performed in case of solid tumors. Three medical professionals with different levels of training, blinded to the results, interpreted the data. Results The experienced physician correlated very well the NBI findings with pathology (0.93, p=0.05), while the resident physician and the experienced nurse obtain lower, albeit still statistically significant, values (0.73 and 0.62, respectively). For pCLE, the experienced physician obtained near-perfect correlation with pathology (0.96), followed closely by the resident physician (0.93). The nurse obtained a modest correlation (0.42). All examiners obtained approximately equal performances in discerning between malignant and benign lesions. Conclusions Digestive endoscopy in NBI mode proved its effectiveness. Even less experienced endoscopists can achieve good results, while an experienced nurse can positively influence the diagnosis. In the case of pCLE, when available, it can greatly reduce diagnostic times, while requiring higher expertise and specialty training.
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- 2021
21. A Nucleotide Analog Prevents Colitis-Associated Cancer via Beta-Catenin Independently of Inflammation and AutophagySummary
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Iulia Oancea, Andy Wu, Michael A. McGuckin, Sumaira Z. Hasnain, Rabina Giri, John D. Hooper, Veronika Schreiber, Brett C McWhinney, Julie M. Davies, Jakob Begun, Yonghua Sheng, David P. Fairlie, Saleh Y. Alabbas, Gregor Kijanka, Yaowu He, Ramya Movva, Andrew J. Lucke, and Timothy H. Florin
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rac1 GTP-Binding Protein ,0301 basic medicine ,TGTP, thioguanine nucleotide triphosphate ,TCF/LEF, T-cell factor/lymphoid enhancer factor ,Colorectal cancer ,MP, mercaptopurine ,TGN, thioguanine nucleotides ,medicine.disease_cause ,Autophagy-Related Protein 7 ,Inflammatory bowel disease ,BrdU, bromodeoxyuridine ,Mice ,chemistry.chemical_compound ,AOM, azoxymethane ,0302 clinical medicine ,GTP, guanosine triphosphate ,GTPase, guanosine triphosphatase ,DSS, dextran sodium sulfate ,Intestinal Mucosa ,Wnt Signaling Pathway ,beta Catenin ,Original Research ,GDP, guanosine diphosphate ,IBD, inflammatory bowel disease ,Colon Cancer ,Mercaptopurine ,Dextran Sulfate ,Gastroenterology ,Wnt signaling pathway ,Colitis ,Atg7ΔIEC, intestinal epithelial cell–specific deletion of autophagy related 7 gene ,Editorial ,Gene Knockdown Techniques ,CRC, colorectal cancer ,030211 gastroenterology & hepatology ,Colon ,β-Catenin ,CAC, colitis-associated cancer ,Azoxymethane ,Mice, Transgenic ,DAI, disease activity index scores ,IMPDH, inosine-5′-monophosphate dehydrogenase ,03 medical and health sciences ,Administration, Rectal ,Anseriformes ,medicine ,Autophagy ,Animals ,Humans ,lcsh:RC799-869 ,Thioguanine ,IC50, inhibitory concentration of 50% ,Hepatology ,business.industry ,Neuropeptides ,Cancer ,DMEM, Dulbecco modified Eagle medium ,PBS-T, phosphate-buffered saline with 0.1% Tween-20 ,HCT116 Cells ,medicine.disease ,WT, wild-type ,TG, thioguanine ,030104 developmental biology ,chemistry ,siRNA, small interfering RNA ,Cancer research ,BSA, bovine serum albumin ,lcsh:Diseases of the digestive system. Gastroenterology ,Caco-2 Cells ,Colitis-Associated Neoplasms ,business ,Carcinogenesis ,HPRT, hypoxanthine phosphoribosyltransferase gene - Abstract
Background & Aims Chronic bowel inflammation increases the risk of colon cancer; colitis-associated cancer (CAC). Thiopurine treatments are associated with a reduction in dysplasia and CAC in inflammatory bowel disease (IBD). Abnormal Wnt/β-catenin signalling is characteristic of >90% of colorectal cancers. Immunosuppression by thiopurines is via Rac1 GTPase, which also affects Wnt/β-catenin signalling. Autophagy is implicated in colonic tumors, and topical delivery of the thiopurine thioguanine (TG) is known to alleviate colitis and augment autophagy. This study investigated the effects of TG in a murine model of CAC and potential mechanisms. Methods Colonic dysplasia was induced by exposure to azoxymethane (AOM) and dextran sodium sulfate (DSS) in wild-type (WT) mice and mice harboring intestinal epithelial cell–specific deletion of autophagy related 7 gene (Atg7ΔIEC). TG or vehicle was administered intrarectally, and the effect on tumor burden and β-catenin activity was assessed. The mechanisms of action of TG were investigated in vitro and in vivo. Results TG ameliorated DSS colitis in wild-type but not Atg7ΔIEC mice, demonstrating that anti-inflammatory effects of locally delivered TG are autophagy-dependent. However, TG inhibited CAC in both wild-type and Atg7ΔIEC mice. This was associated with decreased β-catenin activation/nuclear translocation demonstrating that TG’s inhibition of tumorigenesis occurred independently of anti-inflammatory and pro-autophagic actions. These results were confirmed in cell lines, and the dependency on Rac1 GTPase was demonstrated by siRNA knockdown and overexpression of constitutively active Rac1. Conclusions Our findings provide evidence for a new mechanism that could be exploited to improve CAC chemoprophylactic approaches., Graphical abstract
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- 2021
22. MULTISCALE MODELING FOR THE SCIENCE AND ENGINEERING OF MATERIALS
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Jing Bi, Felix Hanke, Huidi Ji, Ross McLendon, Stephen Todd, Tod Dalrymple, Rafael Salazar-Tio, Martin Persson, Eugenio Chiavaccini, James Wescott, Stefan Dietz, Martin Schulze, Johannes Schwöbel, Jiang Yao, Victor Milman, Pierre Yves Mechin, Chris Wohlever, Juan Hurtado, and Victor Oancea
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Engineering ,Computer Networks and Communications ,Control and Systems Engineering ,business.industry ,Science and engineering ,Computational Mechanics ,Systems engineering ,business ,Multiscale modeling - Published
- 2021
23. Towards a modular end-to-end statistical production process with mobile network data
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Bogdan Oancea, Sandra Barragán, Luis Sanguiao, David Rodríguez Salgado, and Marian Necula
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business.industry ,Computer science ,Context (language use) ,Modular design ,Statistical process control ,computer.software_genre ,Synthetic data ,Geolocation ,Cellular network ,Data deduplication ,Data mining ,business ,Mobile device ,computer - Abstract
Mobile network data has proved to be an outstanding data source for the production of statistics in general, and for Official Statistics, in particular. Similarly to another new digital data sources, this poses the remarkable challenge of refurbishing a new statistical production process. In the context of the European Statistical System (ESS), we substantiate the so-called ESS Reference Methodological Framework for Mobile Network Data with a first modular and evolvable proposed statistical process comprising (i) the geolocation of mobile devices, (ii) the deduplication of mobile devices, (iii) the statistical filtering to identify the target population, (iv) the aggregation into territorial units, and (v) the inference to the target population. The proposal is illustrated with synthetic data generated from a network event data simulator developed for these purposes.
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- 2021
24. Hearing loss prevalence and years lived with disability, 1990-2019: findings from the Global Burden of Disease Study 2019
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Rezaul Karim Ripon, Lydia M. Haile, Richard C. Franklin, Virginia Núñez-Samudio, Sonali G. Choudhari, Chythra R Rao, Maria Inês Schmidt, Jeff T. Zhao, Hanadi Al Hamad, Bing-Fang Hwang, Christopher R. Cederroth, Howard J. Hoffman, Naohiro Yonemoto, Rajaa Al-Raddadi, Avina Vongpradith, David Laith Rawaf, Valentin Yurievich Skryabin, Maja Pasovic, Ismail Tareque, Alessandra Lugo, Theo Vos, Rabia Hussain, Golnaz Heidari, Tarik A. Rashid, Ghozali Ghozali, Stephen S Lim, Bay Vo, Emma Elizabeth Spurlock, Himal Kandel, Jitendra Singh, Adrian Davis, Pankaj Bhardwaj, Houman Sotoudeh, Arif Mohammed, Rekha Thapar, Mohammad Rabiee, Florian Fischer, Deepika Singhal, Haroon Ahmed, Irina Filip, Michael Ekholuenetale, Amirhossein Sahebkar, Abdallah M. Samy, Fatemeh Pashazadeh Kan, Sathish Kumar Jayapal, Ionela-Roxana Glavan, Mikhail Sergeevich Zastrozhin, Bruce Bartholow Duncan, Aziz Rezapour, Jalal Arabloo, Sahel Valadan Tahbaz, Chuanhua Yu, Huong Lan Thi Nguyen, Vahid Rashedi, Shrikant Pawar, Shelly Chadha, Mahaveer Golechha, Bach Xuan Tran, Jaimie D Steinmetz, Deepak Dhamnetiya, Olayinka Stephen Ilesanmi, Masood Ali Shaikh, Charlie Ashbaugh, Stany W. Lobo, Akshaya Srikanth Bhagavathula, Biruk Wogayehu Taddele, Baye Dagnew, Walter Mendoza, Morteza Arab-Zozani, Turki Alanzi, Sandhya Neupane Kandel, Kebadnew Mulatu Mihretie, Zaheer-Ud-Din Babar, Jasvinder A. Singh, Veer Bala Gupta, Maheswar Satpathy, Ali H. Mokdad, Simon I. Hay, Sadia Bibi, Louis Jacob, Christopher J L Murray, Liaqat Ali, Keyvan Pakshir, Allen Seylani, Andre M. N. Renzaho, Eman Abu-Gharbieh, Till Bärnighausen, Segun Emmanuel Ibitoye, Voilet Rodrigues, Vahit Yigit, Mohammed Shannawaz, Mohammad Ali Moni, Ali Yadollahpour, Rose G Bender, Victor M. Oguoma, Rohollah Kalhor, Saif Ullah, Mohammad Zamani, Anna Aleksandrovna Skryabina, Mowafa Househ, Milena Santric-Milicevic, Juwel Rana, Fakher Rahim, Soraya Siabani, Mokhtar Mohammadi, Bolajoko O. Olusanya, Khezar Hayat, Teroj Abdulrahman Mohamed, Palash Chandra Banik, Nikha Bhardwaj, Brijesh Sathian, Fahad Alanezi, Jean Jacques Noubiap, Jagadish Rao Padubidri, Hans Orru, Nawzad K. Al-Salihi, Navid Rabiee, Xuefeng Liu, Iván Landires, Paul S Briant, Jost B. Jonas, Mayowa O. Owolabi, Zhi Jiang Zhang, Farhad Ghamari, Vahid Alipour, Sowmya J. Rao, Mehdi Hosseinzadeh, Desta Debalkie Atnafu, Lalit Dandona, Molly R Nixon, Rovshan Khalilov, Ai Koyanagi, Silvano Gallus, Saad M.A. Dahlawi, Salman Rawaf, Mohammad Abdollahi, Ted R. Miller, Masao Iwagami, Amanual Getnet Mersha, Savita Lasrado, Marcos Roberto Tovani-Palone, Umar Saeed, Fares Alahdab, Vafa Rahimi-Movaghar, Ivo Iavicoli, Yonas Akalu, Amir Masoud Rahmani, Kathleen Pillsbury Hopf, Assefa Desalew, Sheikh Mohammed Shariful Islam, Amare Belachew Dagnew, Ravi Prakash Jha, Jacob Olusegun Olusanya, Jingkai Wei, Mandira Lamichhane Dhimal, Kaloyan Kamenov, Anasthasia Zastrozhina, Samer Hamidi, Gbenga A. Kayode, Katrin Burkart, Anjali Singal, Shahina Pardhan, Rakhi Dandona, Jaykaran Charan, Akram Pourshams, Xiaochen Dai, Meghnath Dhimal, Kerrie E. Doyle, Seyed Sina Naghibi Irvani, Shilpa Gaidhane, Francesco Saverio Violante, Monika Sawhney, Animut Tagele Tamiru, Hai Quang Pham, Atif Amin Baig, Hubert Amu, Judie Arulappan, Ayele Semachew Kasa, Alaa Makki, Syed Amir Gilani, Abdollah Mohammadian-Hafshejani, Soewarta Kosen, Abhay Gaidhane, Birhanu Wubale Yirdaw, Ismaeel Yunusa, Ali Bijani, Billy Randall Hammond, Neeti Rustagi, Bogdan Oancea, Ahmad Ghashghaee, Amadou Barrow, Mosiur Rahman, Ashkan Afshin, Yigizie Yeshaw, Mahalaqua Nazli Khatib, Amir Radfar, Winfried Schlee, Andrew T Olagunju, Dinh-Toi Chu, Vasily Vlassov, Ejaz Ahmad Khan, Sanjeev Misra, Rosa A. S. Couto, Marina Pinheiro, Mohammad Hifz Ur Rahman, Amir Abdoli, Bárbara Niegia Garcia de Goulart, Wondimeneh Shibabaw Shiferaw, Seyed Hossein Yahyazadeh Jabbari, Aislyn U. Orji, Vivek Gupta, Giang Thu Vu, G Anil Kumar, Haile L.M., Kamenov K., Briant P.S., Orji A.U., Steinmetz J.D., Abdoli A., Abdollahi M., Abu-Gharbieh E., Afshin A., Ahmed H., Rashid T.A., Akalu Y., Alahdab F., Alanezi F.M., Alanzi T.M., Al Hamad H., Ali L., Alipour V., Al-Raddadi R.M., Amu H., Arabloo J., Arab-Zozani M., Arulappan J., Ashbaugh C., Atnafu D.D., Babar Z.-U.-D., Baig A.A., Banik P.C., Barnighausen T.W., Barrow A., Bender R.G., Bhagavathula A.S., Bhardwaj N., Bhardwaj P., Bibi S., Bijani A., Burkart K., Cederroth C.R., Charan J., Choudhari S.G., Chu D.-T., Couto R.A.S., Dagnew A.B., Dagnew B., Dahlawi S.M.A., Dai X., Dandona L., Dandona R., Desalew A., Dhamnetiya D., Dhimal M.L., Dhimal M., Doyle K.E., Duncan B.B., Ekholuenetale M., Filip I., Fischer F., Franklin R.C., Gaidhane A.M., Gaidhane S., Gallus S., Ghamari F., Ghashghaee A., Ghozali G., Gilani S.A., Glavan I.-R., Golechha M., Goulart B.N.G., Gupta V.B., Gupta V.K., Hamidi S., Hammond B.R., Hay S.I., Hayat K., Heidari G., Hoffman H.J., Hopf K.P., Hosseinzadeh M., Househ M., Hussain R., Hwang B.-F., Iavicoli I., Ibitoye S.E., Ilesanmi O.S., Irvani S.S.N., Islam S.M.S., Iwagami M., Jacob L., Jayapal S.K., Jha R.P., Jonas J.B., Kalhor R., Al-Salihi N.K., Kandel H., Kasa A.S., Kayode G.A., Khalilov R., Khan E.A., Khatib M.N., Kosen S., Koyanagi A., Kumar G.A., Landires I., Lasrado S., Lim S.S., Liu X., Lobo S.W., Lugo A., Makki A., Mendoza W., Mersha A.G., Mihretie K.M., Miller T.R., Misra S., Mohamed T.A., Mohammadi M., Mohammadian-Hafshejani A., Mohammed A., Mokdad A.H., Moni M.A., Kandel S.N., Nguyen H.L.T., Nixon M.R., Noubiap J.J., Nunez-Samudio V., Oancea B., Oguoma V.M., Olagunju A.T., Olusanya B.O., Olusanya J.O., Orru H., Owolabi M.O., Padubidri J.R., Pakshir K., Pardhan S., Kan F.P., Pasovic M., Pawar S., Pham H.Q., Pinheiro M., Pourshams A., Rabiee N., Rabiee M., Radfar A., Rahim F., Rahimi-Movaghar V., Ur Rahman M.H., Rahman M., Rahmani A.M., Rana J., Rao C.R., Rao S.J., Rashedi V., Rawaf D.L., Rawaf S., Renzaho A.M.N., Rezapour A., Ripon R.K., Rodrigues V., Rustagi N., Saeed U., Sahebkar A., Samy A.M., Santric-Milicevic M.M., Sathian B., Satpathy M., Sawhney M., Schlee W., Schmidt M.I., Seylani A., Shaikh M.A., Shannawaz M., Shiferaw W.S., Siabani S., Singal A., Singh J.A., Singh J.K., Singhal D., Skryabin V.Y., Skryabina A.A., Sotoudeh H., Spurlock E.E., Taddele B.W., Tamiru A.T., Tareque M.I., Thapar R., Tovani-Palone M.R., Tran B.X., Ullah S., Tahbaz S.V., Violante F.S., Vlassov V., Vo B., Vongpradith A., Vu G.T., Wei J., Yadollahpour A., Jabbari S.H.Y., Yeshaw Y., Yigit V., Yirdaw B.W., Yonemoto N., Yu C., Yunusa I., Zamani M., Zastrozhin M.S., Zastrozhina A., Zhang Z.-J., Zhao J.T., Murray C.J.L., Davis A.C., Vos T., Chadha S., Haile, Lydia M, Kamenov, Kaloyan, Briant, Paul Svitil, Orji, Aislyn U, Steinmetz, Jaimie D, Abdoli, Amir, Abdollahi, Mohammad, Abu-Gharbieh, Eman, Afshin, Ashkan, Ahmed, Haroon, Ahmed Rashid, Tarik, Akalu, Yona, Alahdab, Fare, Alanezi, Fahad Mashhour, Alanzi, Turki M, Al Hamad, Hanadi, Ali, Liaqat, Alipour, Vahid, Al-Raddadi, Rajaa M, Amu, Hubert, Arabloo, Jalal, Arab-Zozani, Morteza, Arulappan, Judie, Ashbaugh, Charlie, Atnafu, Desta Debalkie, Babar, Zaheer-Ud-Din, Baig, Atif Amin, Banik, Palash Chandra, Bärnighausen, Till Winfried, Barrow, Amadou, Bender, Rose G, Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bibi, Sadia, Bijani, Ali, Burkart, Katrin, Cederroth, Christopher R, Charan, Jaykaran, Choudhari, Sonali Gajanan, Chu, Dinh-Toi, Couto, Rosa A S, Dagnew, Amare Belachew, Dagnew, Baye, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Desalew, Assefa, Dhamnetiya, Deepak, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Doyle, Kerrie E, Duncan, Bruce B, Ekholuenetale, Michael, Filip, Irina, Fischer, Florian, Franklin, Richard Charle, Gaidhane, Abhay Motiramji, Gaidhane, Shilpa, Gallus, Silvano, Ghamari, Farhad, Ghashghaee, Ahmad, Ghozali, Ghozali, Gilani, Syed Amir, Glavan, Ionela-Roxana, Golechha, Mahaveer, Goulart, Bárbara Niegia Garcia, Gupta, Veer Bala, Gupta, Vivek Kumar, Hamidi, Samer, Hammond, Billy Randall, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Hoffman, Howard J, Hopf, Kathleen Pillsbury, Hosseinzadeh, Mehdi, Househ, Mowafa, Hussain, Rabia, Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Iwagami, Masao, Jacob, Loui, Jayapal, Sathish Kumar, Jha, Ravi Prakash, Jonas, Jost B, Kalhor, Rohollah, Kameran Al-Salihi, Nawzad, Kandel, Himal, Kasa, Ayele Semachew, Kayode, Gbenga A, Khalilov, Rovshan, Khan, Ejaz Ahmad, Khatib, Mahalaqua Nazli, Kosen, Soewarta, Koyanagi, Ai, Kumar, G Anil, Landires, Iván, Lasrado, Savita, Lim, Stephen S, Liu, Xuefeng, Lobo, Stany W, Lugo, Alessandra, Makki, Alaa, Mendoza, Walter, Mersha, Amanual Getnet, Mihretie, Kebadnew Mulatu, Miller, Ted R, Misra, Sanjeev, Mohamed, Teroj Abdulrahman, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammed, Arif, Mokdad, Ali H, Moni, Mohammad Ali, Neupane Kandel, Sandhya, Nguyen, Huong Lan Thi, Nixon, Molly R, Noubiap, Jean Jacque, Nuñez-Samudio, Virginia, Oancea, Bogdan, Oguoma, Victor Maduabuchi, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Orru, Han, Owolabi, Mayowa O, Padubidri, Jagadish Rao, Pakshir, Keyvan, Pardhan, Shahina, Pashazadeh Kan, Fatemeh, Pasovic, Maja, Pawar, Shrikant, Pham, Hai Quang, Pinheiro, Marina, Pourshams, Akram, Rabiee, Navid, Rabiee, Mohammad, Radfar, Amir, Rahim, Fakher, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahmani, Amir Masoud, Rana, Juwel, Rao, Chythra R, Rao, Sowmya J, Rashedi, Vahid, Rawaf, David Laith, Rawaf, Salman, Renzaho, Andre M N, Rezapour, Aziz, Ripon, Rezaul Karim, Rodrigues, Voilet, Rustagi, Neeti, Saeed, Umar, Sahebkar, Amirhossein, Samy, Abdallah M, Santric-Milicevic, Milena M, Sathian, Brijesh, Satpathy, Maheswar, Sawhney, Monika, Schlee, Winfried, Schmidt, Maria Inê, Seylani, Allen, Shaikh, Masood Ali, Shannawaz, Mohammed, Shiferaw, Wondimeneh Shibabaw, Siabani, Soraya, Singal, Anjali, Singh, Jasvinder A, Singh, Jitendra Kumar, Singhal, Deepika, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sotoudeh, Houman, Spurlock, Emma Elizabeth, Taddele, Biruk Wogayehu, Tamiru, Animut Tagele, Tareque, Md Ismail, Thapar, Rekha, Tovani-Palone, Marcos Roberto, Tran, Bach Xuan, Ullah, Saif, Valadan Tahbaz, Sahel, Violante, Francesco S, Vlassov, Vasily, Vo, Bay, Vongpradith, Avina, Vu, Giang Thu, Wei, Jingkai, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yeshaw, Yigizie, Yigit, Vahit, Yirdaw, Birhanu Wubale, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zamani, Mohammad, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zhao, Jeff T, Murray, Christopher J L, Davis, Adrian C, Vos, Theo, and Chadha, Shelly
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Hearing aid ,Male ,Hearing loss ,medicine.medical_treatment ,Psychological intervention ,030204 cardiovascular system & hematology ,Affect (psychology) ,Health Services Accessibility ,Global Burden of Disease ,03 medical and health sciences ,Tinnitus ,Medicine, General & Internal ,0302 clinical medicine ,Neonatal Screening ,Hearing Aids ,Acquired immunodeficiency syndrome (AIDS) ,Hearing ,General & Internal Medicine ,Health care ,otorhinolaryngologic diseases ,Prevalence ,Medicine ,Humans ,Age Factor ,Disabled Persons ,030212 general & internal medicine ,Hearing Loss ,Hearing Lo ,11 Medical and Health Sciences ,Science & Technology ,business.industry ,Infant, Newborn ,Age Factors ,Infant ,GBD 2019 Hearing Loss Collaborators ,General Medicine ,Articles ,medicine.disease ,Otitis ,Hearing Aid ,Cytomegalovirus Infections ,Disabled Person ,Female ,medicine.symptom ,business ,Life Sciences & Biomedicine ,Human ,Demography - Abstract
© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Hearing loss affects access to spoken language, which can affect cognition and development, and can negatively affect social wellbeing. We present updated estimates from the Global Burden of Disease (GBD) study on the prevalence of hearing loss in 2019, as well as the condition's associated disability. Methods: We did systematic reviews of population-representative surveys on hearing loss prevalence from 1990 to 2019. We fitted nested meta-regression models for severity-specific prevalence, accounting for hearing aid coverage, cause, and the presence of tinnitus. We also forecasted the prevalence of hearing loss until 2050. Findings: An estimated 1·57 billion (95% uncertainty interval 1·51–1·64) people globally had hearing loss in 2019, accounting for one in five people (20·3% [19·5–21·1]). Of these, 403·3 million (357·3–449·5) people had hearing loss that was moderate or higher in severity after adjusting for hearing aid use, and 430·4 million (381·7–479·6) without adjustment. The largest number of people with moderate-to-complete hearing loss resided in the Western Pacific region (127·1 million people [112·3–142·6]). Of all people with a hearing impairment, 62·1% (60·2–63·9) were older than 50 years. The Healthcare Access and Quality (HAQ) Index explained 65·8% of the variation in national age-standardised rates of years lived with disability, because countries with a low HAQ Index had higher rates of years lived with disability. By 2050, a projected 2·45 billion (2·35–2·56) people will have hearing loss, a 56·1% (47·3–65·2) increase from 2019, despite stable age-standardised prevalence. Interpretation: As populations age, the number of people with hearing loss will increase. Interventions such as childhood screening, hearing aids, effective management of otitis media and meningitis, and cochlear implants have the potential to ameliorate this burden. Because the burden of moderate-to-complete hearing loss is concentrated in countries with low health-care quality and access, stronger health-care provision mechanisms are needed to reduce the burden of unaddressed hearing loss in these settings. Funding: Bill & Melinda Gates Foundation and WHO.
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- 2020
25. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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W., Ausloos, F., Ausloos, M., Ayala Quintanilla, B. P., Ayano, G., Ayanore, M. A., Azari, S., Azarian, G., Azene, Z. N., Badawi, A., Badiye, A. D., Bahrami, M. A., Bakhshaei, M. H., Bakhtiari, A., Bakkannavar, S. M., Baldasseroni, A., Ball, K., Ballew, S. H., Balzi, D., Banach, M., Banerjee, S. K., Bante, A. B., Baraki, A. G., Barker-Collo, S. L., Barnighausen, T. W., Barrero, L. H., Barthelemy, C. M., Barua, L., Basu, S., Baune, B. T., Bayati, M., Becker, J. S., Bedi, N., Beghi, E., Bejot, Y., Bell, M. L., Bennitt, F. B., Bensenor, I. M., Berhe, K., Berman, A. E., Bhagavathula, A. S., Bhageerathy, R., Bhala, N., Bhandari, D., Bhattacharyya, K., Bhutta, Z. A., Bijani, A., Bikbov, B., Bin Sayeed, M. S., Biondi, A., Birihane, B. M., Bisignano, C., Biswas, R. K., Bitew, H., Bohlouli, S., Bohluli, M., Boon-Dooley, A. S., Borges, G., Borzi, A. M., Borzouei, S., Bosetti, C., Boufous, S., Braithwaite, D., Breitborde, N. J. K., Breitner, S., Brenner, H., Briant, P. S., Briko, A. N., Briko, N. I., Britton, G. B., Bryazka, D., Bumgarner, B. R., Burkart, K., Burnett, R. T., Burugina Nagaraja, S., Butt, Z. A., Caetano dos Santos, F. L., Cahill, L. E., Camera, L. L. A., Campos-Nonato, I. R., Cardenas, R., Carreras, G., Carrero, J. J., Carvalho, F., Castaldelli-Maia, J. M., Castaneda-Orjuela, C. A., Castelpietra, G., Castro, F., Causey, K., Cederroth, C. R., Cercy, K. M., Cerin, E., Chandan, J. S., Chang, K. -L., Charlson, F. J., Chattu, V. K., Chaturvedi, S., Cherbuin, N., Chimed-Ochir, O., Cho, D. Y., Choi, J. -Y. J., Christensen, H., Chu, D. -T., Chung, M. T., Chung, S. -C., Cicuttini, F. M., Ciobanu, L. G., Cirillo, M., Classen, T. K. D., Cohen, A. J., Compton, K., Cooper, O. R., Costa, V. M., Cousin, E., Cowden, R. G., Cross, D. H., Cruz, J. A., Dahlawi, S. M. A., Damasceno, A. A. M., Damiani, G., Dandona, L., Dandona, R., Dangel, W. J., Danielsson, A. -K., Dargan, P. I., Darwesh, A. M., Daryani, A., Das, J. K., Das Gupta, R., das Neves, J., Davila-Cervantes, C. A., Davitoiu, D. V., De Leo, D., Degenhardt, L., Delang, M., Dellavalle, R. P., Demeke, F. M., Demoz, G. T., Demsie, D. G., Denova-Gutierrez, E., Dervenis, N., Dhungana, G. P., Dianatinasab, M., Dias da Silva, D., Diaz, D., Dibaji Forooshani, Z. S., Djalalinia, S., Do, H. T., Dokova, K., Dorostkar, F., Doshmangir, L., Driscoll, T. R., Duncan, B. B., Duraes, A. R., Eagan, A. W., Edvardsson, D., El Nahas, N., El Sayed, I., El Tantawi, M., Elbarazi, I., Elgendy, I. Y., El-Jaafary, S. I., Elyazar, I. R., Emmons-Bell, S., Erskine, H. E., Eskandarieh, S., Esmaeilnejad, S., Esteghamati, A., Estep, K., Etemadi, A., Etisso, A. E., Fanzo, J., Farahmand, M., Fareed, M., Faridnia, R., Farioli, A., Faro, A., Faruque, M., Farzadfar, F., Fattahi, N., Fazlzadeh, M., Feigin, V. L., Feldman, R., Fereshtehnejad, S. -M., Fernandes, E., Ferrara, G., Ferrari, A. J., Ferreira, M. L., Filip, I., Fischer, F., Fisher, J. L., Flor, L. S., Foigt, N. A., Folayan, M. O., Fomenkov, A. A., Force, L. M., Foroutan, M., Franklin, R. C., Freitas, M., Fu, W., Fukumoto, T., Furtado, J. M., Gad, M. M., Gakidou, E., Gallus, S., Garcia-Basteiro, A. L., Gardner, W. M., Geberemariyam, B. S., Gebreslassie, A. A. A. A., Geremew, A., Gershberg Hayoon, A., Gething, P. W., Ghadimi, M., Ghadiri, K., Ghaffarifar, F., Ghafourifard, M., Ghamari, F., Ghashghaee, A., Ghiasvand, H., Ghith, N., Gholamian, A., Ghosh, R., Gill, P. S., Ginindza, T. G. G., Giussani, G., Gnedovskaya, E. V., Goharinezhad, S., Gopalani, S. V., Gorini, G., Goudarzi, H., Goulart, A. C., Greaves, F., Grivna, M., Grosso, G., Gubari, M. I. M., Gugnani, H. C., Guimaraes, R. A., Guled, R. A., Guo, G., Guo, Y., Gupta, R., Gupta, T., Haddock, B., Hafezi-Nejad, N., Hafiz, A., Haj-Mirzaian, A., Hall, B. J., Halvaei, I., Hamadeh, R. R., Hamidi, S., Hammer, M. S., Hankey, G. J., Haririan, H., Haro, J. M., Hasaballah, A. I., Hasan, M. M., Hasanpoor, E., Hashi, A., Hassanipour, S., Hassankhani, H., Havmoeller, R. J., Hay, S. I., Hayat, K., Heidari, G., Heidari-Soureshjani, R., Henrikson, H. J., Herbert, M. E., Herteliu, C., Heydarpour, F., Hird, T. R., Hoek, H. W., Holla, R., Hoogar, P., Hosgood, H. D., Hossain, N., Hosseini, M., Hosseinzadeh, M., Hostiuc, M., Hostiuc, S., Househ, M., Hsairi, M., Hsieh, V. C. -R., Hu, G., Hu, K., Huda, T. M., Humayun, A., Huynh, C. K., Hwang, B. -F., Iannucci, V. C., Ibitoye, S. E., Ikeda, N., Ikuta, K. S., Ilesanmi, O. S., Ilic, I. M., Ilic, M. D., Inbaraj, L. R., Ippolito, H., Iqbal, U., Irvani, S. S. N., Irvine, C. M. S., Islam, M. M., Islam, S. M. S., Iso, H., Ivers, R. Q., Iwu, C. C. D., Iwu, C. J., Iyamu, I. O., Jaafari, J., Jacobsen, K. H., Jafari, H., Jafarinia, M., Jahani, M. A., Jakovljevic, M., Jalilian, F., James, S. L., Janjani, H., Javaheri, T., Javidnia, J., Jeemon, P., Jenabi, E., Jha, R. P., Jha, V., Ji, J. S., Johansson, L., John, O., John-Akinola, Y. O., Johnson, C. O., Jonas, J. B., Joukar, F., Jozwiak, J. J., Jurisson, M., Kabir, A., Kabir, Z., Kalani, H., Kalani, R., Kalankesh, L. R., Kalhor, R., Kanchan, T., Kapoor, N., Karami Matin, B., Karch, A., Karim, M. A., Kassa, G. M., Katikireddi, S. V., Kayode, G. A., Kazemi Karyani, A., Keiyoro, P. N., Keller, C., Kemmer, L., Kendrick, P. J., Khalid, N., Khammarnia, M., Khan, E. A., Khan, M., Khatab, K., Khater, M. M., Khatib, M. N., Khayamzadeh, M., Khazaei, S., Kieling, C., Kim, Y. J., Kimokoti, R. W., Kisa, A., Kisa, S., Kivimaki, M., Knibbs, L. D., Knudsen, A. K. S., Kocarnik, J. M., Kochhar, S., Kopec, J. A., Korshunov, V. A., Koul, P. A., Koyanagi, A., Kraemer, M. U. G., Krishan, K., Krohn, K. J., Kromhout, H., Kuate Defo, B., Kumar, G. A., Kumar, V., Kurmi, O. P., Kusuma, D., La Vecchia, C., Lacey, B., Lal, D. K., Lalloo, R., Lallukka, T., Lami, F. H., Landires, I., Lang, J. J., Langan, S. M., Larsson, A. O., Lasrado, S., Lauriola, P., Lazarus, J. V., Lee, P. H., Lee, S. W. H., Legrand, K. E., Leigh, J., Leonardi, M., Lescinsky, H., Leung, J., Levi, M., Li, S., Lim, L. -L., Linn, S., Liu, S., Liu, Y., Lo, J., Lopez, A. D., Lopez, J. C. F., Lopukhov, P. D., Lorkowski, S., Lotufo, P. A., Lu, A., Lugo, A., Maddison, E. R., Mahasha, P. W., Mahdavi, M. M., Mahmoudi, M., Majeed, A., Maleki, A., Maleki, S., Malekzadeh, R., Malta, D. C., Mamun, A. A., Manda, A. L., Manguerra, H., Mansour-Ghanaei, F., Mansouri, B., Mansournia, M. A., Mantilla Herrera, A. M., Maravilla, J. C., Marks, A., Martin, R. V., Martini, S., Martins-Melo, F. R., Masaka, A., Masoumi, S. Z., Mathur, M. R., Matsushita, K., Maulik, P. K., Mcalinden, C., Mcgrath, J. J., Mckee, M., Mehndiratta, M. M., Mehri, F., Mehta, K. M., Memish, Z. A., Mendoza, W., Menezes, R. G., Mengesha, E. W., Mereke, A., Mereta, S. T., Meretoja, A., Meretoja, T. J., Mestrovic, T., Miazgowski, B., Miazgowski, T., Michalek, I. M., Miller, T. R., Mills, E. J., Mini, G. K., Miri, M., Mirica, A., Mirrakhimov, E. M., Mirzaei, H., Mirzaei, M., Mirzaei, R., Mirzaei-Alavijeh, M., Misganaw, A. T., Mithra, P., Moazen, B., Mohammad, D. K., Mohammad, Y., Mohammad Gholi Mezerji, N., Mohammadian-Hafshejani, A., Mohammadifard, N., Mohammadpourhodki, R., Mohammed, A. S., Mohammed, H., Mohammed, J. A., Mohammed, S., Mokdad, A. H., Molokhia, M., Monasta, L., Mooney, M. D., Moradi, G., Moradi, M., Moradi-Lakeh, M., Moradzadeh, R., Moraga, P., Morawska, L., Morgado-da-Costa, J., Morrison, S. D., Mosapour, A., Mosser, J. F., Mouodi, S., Mousavi, S. M., Mousavi Khaneghah, A., Mueller, U. O., Mukhopadhyay, S., Mullany, E. C., Musa, K. I., Muthupandian, S., Nabhan, A. F., Naderi, M., Nagarajan, A. J., Nagel, G., Naghavi, M., Naghshtabrizi, B., Naimzada, M. D., Najafi, F., Nangia, V., Nansseu, J. R., Naserbakht, M., Nayak, V. C., Negoi, I., Ngunjiri, J. W., Nguyen, C. T., Nguyen, H. L. T., Nguyen, M., Nigatu, Y. T., Nikbakhsh, R., Nixon, M. R., Nnaji, C. A., Nomura, S., Norrving, B., Noubiap, J. 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A., Rajabpour-Sanati, A., Rajati, F., Rakovac, I., Ram, P., Ramezanzadeh, K., Ranabhat, C. L., Rao, P. C., Rao, S. J., Rashedi, V., Rathi, P., Rawaf, D. L., Rawaf, S., Rawal, L., Rawassizadeh, R., Rawat, R., Razo, C., Redford, S. B., Reiner, R. C., Reitsma, M. B., Remuzzi, G., Renjith, V., Renzaho, A. M. N., Resnikoff, S., Rezaei, N., Rezapour, A., Rhinehart, P. -A., Riahi, S. M., Ribeiro, D. C., Ribeiro, D., Rickard, J., Rivera, J. A., Roberts, N. L. S., Rodriguez-Ramirez, S., Roever, L., Ronfani, L., Room, R., Roshandel, G., Roth, G. A., Rothenbacher, D., Rubagotti, E., Rwegerera, G. M., Sabour, S., Sachdev, P. S., Saddik, B., Sadeghi, E., Sadeghi, M., Saeedi, R., Saeedi Moghaddam, S., Safari, Y., Safi, S., Safiri, S., Sagar, R., Sahebkar, A., Sajadi, S. M., Salam, N., Salamati, P., Salem, H., Salem, M. R. R., Salimzadeh, H., Salman, O. M., Salomon, J. A., Samad, Z., Samadi Kafil, H., Sambala, E. Z., Samy, A. M., Sanabria, J., Sanchez-Pimienta, T. G., Santomauro, D. F., Santos, I. 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N., Spotin, A., Sreeramareddy, C. T., Srinivasan, V., Stanaway, J. D., Stein, C., Stein, D. J., Steiner, C., Stockfelt, L., Stokes, M. A., Straif, K., Stubbs, J. L., Sufiyan, M. B., Suleria, H. A. R., Suliankatchi Abdulkader, R., Sulo, G., Sultan, I., Szumowski, Tabares-Seisdedos, R., Tabb, K. M., Tabuchi, T., Taherkhani, A., Tajdini, M., Takahashi, K., Takala, J. S., Tamiru, A. T., Taveira, N., Tehrani-Banihashemi, A., Temsah, M. -H., Tesema, G. A., Tessema, Z. T., Thurston, G. D., Titova, M. V., Tohidinik, H. R., Tonelli, M., Topor-Madry, R., Topouzis, F., Torre, A. E., Touvier, M., Tovani-Palone, M. R. R., Tran, B. X., Travillian, R., Tsatsakis, A., Tudor Car, L., Tyrovolas, S., Uddin, R., Umeokonkwo, C. D., Unnikrishnan, B., Upadhyay, E., Vacante, M., Valdez, P. R., van Donkelaar, A., Vasankari, T. J., Vasseghian, Y., Veisani, Y., Venketasubramanian, N., Violante, F. S., Vlassov, V., Vollset, S. E., Vos, T., Vukovic, R., Waheed, Y., Wallin, M. 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S., Lacey, B, Sartorius, B, Abbafati, C, Abbas, K, Abbasi-Kangevari, M, Abd-Allah, F, Abdelalim, A, Abdollahi, M, Abdollahpour, I, Abegaz, K, Abolhassani, H, Aboyans, V, Abreu, L, Abrigo, M, Abualhasan, A, Abu-Raddad, L, Abushouk, A, Adabi, M, Adekanmbi, V, Adeoye, A, Adetokunboh, O, Adham, D, Advani, S, Afshin, A, Agarwal, G, Aghamir, S, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmadi, M, Ahmadieh, H, Ahmed, M, Akalu, T, Akinyemi, R, Akinyemiju, T, Akombi, B, Akunna, C, Alahdab, F, Al-Aly, Z, Alam, K, Alam, S, Alam, T, Alanezi, F, Alanzi, T, Alemu, B, Alhabib, K, Ali, M, Ali, S, Alicandro, G, Alinia, C, Alipour, V, Alizade, H, Aljunid, S, Alla, F, Allebeck, P, Almasi-Hashiani, A, Al-Mekhlafi, H, Alonso, J, Altirkawi, K, Amini-Rarani, M, Amiri, F, Amugsi, D, Ancuceanu, R, Anderlini, D, Anderson, J, Andrei, C, Andrei, T, Angus, C, Anjomshoa, M, Ansari, F, Ansari-Moghaddam, A, Antonazzo, I, Antonio, C, Antony, C, Antriyandarti, E, Anvari, D, Anwer, R, Appiah, S, Arabloo, J, Arab-Zozani, M, Aravkin, A, Ariani, F, Armoon, B, Arnlov, J, Arzani, A, Asadi-Aliabadi, M, Asadi-Pooya, A, Ashbaugh, C, Assmus, M, Atafar, Z, Atnafu, D, Atout, M, Ausloos, F, Ausloos, M, Ayala Quintanilla, B, Ayano, G, Ayanore, M, Azari, S, Azarian, G, Azene, Z, Badawi, A, Badiye, A, Bahrami, M, Bakhshaei, M, Bakhtiari, A, Bakkannavar, S, Baldasseroni, A, Ball, K, Ballew, S, Balzi, D, Banach, M, Banerjee, S, Bante, A, Baraki, A, Barker-Collo, S, Barnighausen, T, Barrero, L, Barthelemy, C, Barua, L, Basu, S, Baune, B, Bayati, M, Becker, J, Bedi, N, Beghi, E, Bejot, Y, Bell, M, Bennitt, F, Bensenor, I, Berhe, K, Berman, A, Bhagavathula, A, Bhageerathy, R, Bhala, N, Bhandari, D, Bhattacharyya, K, Bhutta, Z, Bijani, A, Bikbov, B, Bin Sayeed, M, Biondi, A, Birihane, B, Bisignano, C, Biswas, R, Bitew, H, Bohlouli, S, Bohluli, M, Boon-Dooley, A, Borges, G, Borzi, A, Borzouei, S, Bosetti, C, Boufous, S, Braithwaite, D, Brauer, M, Breitborde, N, Breitner, S, Brenner, H, Briant, P, Briko, A, Briko, N, Britton, G, Bryazka, D, Bumgarner, B, Burkart, K, Burnett, R, Burugina Nagaraja, S, Butt, Z, Caetano Dos Santos, F, Cahill, L, Camera, L, Campos-Nonato, I, Cardenas, R, Carreras, G, Carrero, J, Carvalho, F, Castaldelli-Maia, J, Castaneda-Orjuela, C, Castelpietra, G, Castro, F, Causey, K, Cederroth, C, Cercy, K, Cerin, E, Chandan, J, Chang, K, Charlson, F, Chattu, V, Chaturvedi, S, Cherbuin, N, Chimed-Ochir, O, Cho, D, Choi, J, Christensen, H, Chu, D, Chung, M, Chung, S, Cicuttini, F, Ciobanu, L, Cirillo, M, Classen, T, Cohen, A, Compton, K, Cooper, O, Costa, V, Cousin, E, Cowden, R, Cross, D, Cruz, J, Dahlawi, S, Damasceno, A, Damiani, G, Dandona, L, Dandona, R, Dangel, W, Danielsson, A, Dargan, P, Darwesh, A, Daryani, A, Das, J, Das Gupta, R, das Neves, J, Davila-Cervantes, C, Davitoiu, D, De Leo, D, Degenhardt, L, Delang, M, Dellavalle, R, Demeke, F, Demoz, G, Demsie, D, Denova-Gutierrez, E, Dervenis, N, Dhungana, G, Dianatinasab, M, Dias da Silva, D, Diaz, D, Dibaji Forooshani, Z, Djalalinia, S, Do, H, Dokova, K, Dorostkar, F, Doshmangir, L, Driscoll, T, Duncan, B, Duraes, A, Eagan, A, Edvardsson, D, El Nahas, N, El Sayed, I, El Tantawi, M, Elbarazi, I, Elgendy, I, El-Jaafary, S, Elyazar, I, Emmons-Bell, S, Erskine, H, Eskandarieh, S, Esmaeilnejad, S, Esteghamati, A, Estep, K, Etemadi, A, Etisso, A, Fanzo, J, Farahmand, M, Fareed, M, Faridnia, R, Farioli, A, Faro, A, Faruque, M, Farzadfar, F, Fattahi, N, Fazlzadeh, M, Feigin, V, Feldman, R, Fereshtehnejad, S, Fernandes, E, Ferrara, G, Ferrari, A, Ferreira, M, Filip, I, Fischer, F, Fisher, J, Flor, L, Foigt, N, Folayan, M, Fomenkov, A, Force, L, Foroutan, M, Franklin, R, Freitas, M, Fu, W, Fukumoto, T, Furtado, J, Gad, M, Gakidou, E, Gallus, S, Garcia-Basteiro, A, Gardner, W, Geberemariyam, B, Ayalew Gebreslassie, A, Geremew, A, Gershberg Hayoon, A, Gething, P, Ghadimi, M, Ghadiri, K, Ghaffarifar, F, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Ghiasvand, H, Ghith, N, Gholamian, A, Ghosh, R, Gill, P, Ginindza, T, Giussani, G, Gnedovskaya, E, Goharinezhad, S, Gopalani, S, Gorini, G, Goudarzi, H, Goulart, A, Greaves, F, Grivna, M, Grosso, G, Gubari, M, Gugnani, H, Guimaraes, R, Guled, R, Guo, G, Guo, Y, Gupta, R, Gupta, T, Haddock, B, Hafezi-Nejad, N, Hafiz, A, Haj-Mirzaian, A, Hall, B, Halvaei, I, Hamadeh, R, Hamidi, S, Hammer, M, Hankey, G, Haririan, H, Haro, J, Hasaballah, A, Hasan, M, Hasanpoor, E, Hashi, A, Hassanipour, S, Hassankhani, H, Havmoeller, R, Hay, S, Hayat, K, Heidari, G, Heidari-Soureshjani, R, Henrikson, H, Herbert, M, Herteliu, C, Heydarpour, F, Hird, T, Hoek, H, Holla, R, Hoogar, P, Hosgood, H, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Hsieh, V, Hu, G, Hu, K, Huda, T, Humayun, A, Huynh, C, Hwang, B, Iannucci, V, Ibitoye, S, Ikeda, N, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Inbaraj, L, Ippolito, H, Iqbal, U, Irvani, S, Irvine, C, Islam, M, Islam, S, Iso, H, Ivers, R, Iwu, C, Iyamu, I, Jaafari, J, Jacobsen, K, Jafari, H, Jafarinia, M, Jahani, M, Jakovljevic, M, Jalilian, F, James, S, Janjani, H, Javaheri, T, Javidnia, J, Jeemon, P, Jenabi, E, Jha, R, Jha, V, Ji, J, Johansson, L, John, O, John-Akinola, Y, Johnson, C, Jonas, J, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kabir, Z, Kalani, H, Kalani, R, Kalankesh, L, Kalhor, R, Kanchan, T, Kapoor, N, Matin, B, Karch, A, Karim, M, Kassa, G, Katikireddi, S, Kayode, G, Kazemi Karyani, A, Keiyoro, P, Keller, C, Kemmer, L, Kendrick, P, Khalid, N, Khammarnia, M, Khan, E, Khan, M, Khatab, K, Khater, M, Khatib, M, Khayamzadeh, M, Khazaei, S, Kieling, C, Kim, Y, Kimokoti, R, Kisa, A, Kisa, S, Kivimaki, M, Knibbs, L, Knudsen, A, Kocarnik, J, Kochhar, S, Kopec, J, Korshunov, V, Koul, P, Koyanagi, A, Kraemer, M, Krishan, K, Krohn, K, Kromhout, H, Kuate Defo, B, Kumar, G, Kumar, V, Kurmi, O, Kusuma, D, La Vecchia, C, Lal, D, Lalloo, R, Lallukka, T, Lami, F, Landires, I, Lang, J, Langan, S, Larsson, A, Lasrado, S, Lauriola, P, Lazarus, J, Lee, P, Lee, S, Legrand, K, Leigh, J, Leonardi, M, Lescinsky, H, Leung, J, Levi, M, Li, S, Lim, L, Linn, S, Liu, S, Liu, Y, Lo, J, Lopez, A, Lopez, J, Lopukhov, P, Lorkowski, S, Lotufo, P, Lu, A, Lugo, A, Maddison, E, Mahasha, P, Mahdavi, M, Mahmoudi, M, Majeed, A, Maleki, A, Maleki, S, Malekzadeh, R, Malta, D, Mamun, A, Manda, A, Manguerra, H, Mansour-Ghanaei, F, Mansouri, B, Mansournia, M, Mantilla Herrera, A, Maravilla, J, Marks, A, Martin, R, Martini, S, Martins-Melo, F, Masaka, A, Masoumi, S, Mathur, M, Matsushita, K, Maulik, P, Mcalinden, C, Mcgrath, J, Mckee, M, Mehndiratta, M, Mehri, F, Mehta, K, Memish, Z, Mendoza, W, Menezes, R, Mengesha, E, Mereke, A, Mereta, S, Meretoja, A, Meretoja, T, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mills, E, Mini, G, Miri, M, Mirica, A, Mirrakhimov, E, Mirzaei, H, Mirzaei, M, Mirzaei, R, Mirzaei-Alavijeh, M, Misganaw, A, Mithra, P, Moazen, B, Mohammad, D, Mohammad, Y, Mohammad Gholi Mezerji, N, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammadpourhodki, R, Mohammed, A, Mohammed, H, Mohammed, J, Mohammed, S, Mokdad, A, Molokhia, M, Monasta, L, Mooney, M, Moradi, G, Moradi, M, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Morawska, L, Morgado-Da-Costa, J, Morrison, S, Mosapour, A, Mosser, J, Mouodi, S, Mousavi, S, Khaneghah, A, Mueller, U, Mukhopadhyay, S, Mullany, E, Musa, K, Muthupandian, S, Nabhan, A, Naderi, M, Nagarajan, A, Nagel, G, Naghavi, M, Naghshtabrizi, B, Naimzada, M, Najafi, F, Nangia, V, Nansseu, J, Naserbakht, M, Nayak, V, Negoi, I, Ngunjiri, J, Nguyen, C, Nguyen, H, Nguyen, M, Nigatu, Y, Nikbakhsh, R, Nixon, M, Nnaji, C, Nomura, S, Norrving, B, Noubiap, J, Nowak, C, Nunez-Samudio, V, Oancea, B, Odell, C, Ogbo, F, Oh, I, Okunga, E, Oladnabi, M, Olagunju, A, Olusanya, B, Olusanya, J, Omer, M, Ong, K, Onwujekwe, O, Orpana, H, Ortiz, A, Osarenotor, O, Osei, F, Ostroff, S, Otoiu, A, Otstavnov, N, Otstavnov, S, Overland, S, Owolabi, M, Mahesh, P, Padubidri, J, Palladino, R, Panda-Jonas, S, Pandey, A, Parry, C, Pasovic, M, Pasupula, D, Patel, S, Pathak, M, Patten, S, Patton, G, Toroudi, H, Peden, A, Pennini, A, Pepito, V, Peprah, E, Pereira, D, Pesudovs, K, Pham, H, Phillips, M, Piccinelli, C, Pilz, T, Piradov, M, Pirsaheb, M, Plass, D, Polinder, S, Polkinghorne, K, Pond, C, Postma, M, Pourjafar, H, Pourmalek, F, Poznanska, A, Prada, S, Prakash, V, Pribadi, D, Pupillo, E, Syed, Z, Rabiee, M, Rabiee, N, Radfar, A, Rafiee, A, Raggi, A, Rahman, M, Rajabpour-Sanati, A, Rajati, F, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, C, Rao, P, Rao, S, Rashedi, V, Rathi, P, Rawaf, D, Rawaf, S, Rawal, L, Rawassizadeh, R, Rawat, R, Razo, C, Redford, S, Reiner, R, Reitsma, M, Remuzzi, G, Renjith, V, Renzaho, A, Resnikoff, S, Rezaei, N, Rezapour, A, Rhinehart, P, Riahi, S, Ribeiro, D, Rickard, J, Rivera, J, Roberts, N, Rodriguez-Ramirez, S, Roever, L, Ronfani, L, Room, R, Roshandel, G, Roth, G, Rothenbacher, D, Rubagotti, E, Rwegerera, G, Sabour, S, Sachdev, P, Saddik, B, Sadeghi, E, Sadeghi, M, Saeedi, R, Saeedi Moghaddam, S, Safari, Y, Safi, S, Safiri, S, Sagar, R, Sahebkar, A, Sajadi, S, Salam, N, Salamati, P, Salem, H, Salem, M, Salimzadeh, H, Salman, O, Salomon, J, Samad, Z, Samadi Kafil, H, Sambala, E, Samy, A, Sanabria, J, Sanchez-Pimienta, T, Santomauro, D, Santos, I, Santos, J, Santric-Milicevic, M, Saraswathy, S, Sarmiento-Suarez, R, Sarrafzadegan, N, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Schaeffer, L, Schiavolin, S, Schlaich, M, Schmidt, M, Schutte, A, Schwebel, D, Schwendicke, F, Senbeta, A, Senthilkumaran, S, Sepanlou, S, Serdar, B, Serre, M, Shadid, J, Shafaat, O, Shahabi, S, Shaheen, A, Shaikh, M, Shalash, A, Shams-Beyranvand, M, Shamsizadeh, M, Sharafi, K, Sheikh, A, Sheikhtaheri, A, Shibuya, K, Shield, K, Shigematsu, M, Shin, J, Shin, M, Shiri, R, Shirkoohi, R, Shuval, K, Siabani, S, Sierpinski, R, Sigfusdottir, I, Sigurvinsdottir, R, Silva, J, Simpson, K, Singh, J, Singh, P, Skiadaresi, E, Skou, S, Skryabin, V, Smith, E, Soheili, A, Soltani, S, Soofi, M, Sorensen, R, Soriano, J, Sorrie, M, Soshnikov, S, Soyiri, I, Spencer, C, Spotin, A, Sreeramareddy, C, Srinivasan, V, Stanaway, J, Stein, C, Stein, D, Steiner, C, Stockfelt, L, Stokes, M, Straif, K, Stubbs, J, Sufiyan, M, Suleria, H, Suliankatchi Abdulkader, R, Sulo, G, Sultan, I, Tabares-Seisdedos, R, Tabb, K, Tabuchi, T, Taherkhani, A, Tajdini, M, Takahashi, K, Takala, J, Tamiru, A, Taveira, N, Tehrani-Banihashemi, A, Temsah, M, Tesema, G, Tessema, Z, Thurston, G, Titova, M, Tohidinik, H, Tonelli, M, Topor-Madry, R, Topouzis, F, Torre, A, Touvier, M, Tovani-Palone, M, Tran, B, Travillian, R, Tsatsakis, A, Tudor Car, L, Tyrovolas, S, Uddin, R, Umeokonkwo, C, Unnikrishnan, B, Upadhyay, E, Vacante, M, Valdez, P, van Donkelaar, A, Vasankari, T, Vasseghian, Y, Veisani, Y, Venketasubramanian, N, Violante, F, Vlassov, V, Vollset, S, Vos, T, Vukovic, R, Waheed, Y, Wallin, M, Wang, Y, Watson, A, Wei, J, Wei, M, Weintraub, R, Weiss, J, Werdecker, A, West, J, Westerman, R, Whisnant, J, Whiteford, H, Wiens, K, Wolfe, C, Wozniak, S, Wu, A, Wu, J, Wulf Hanson, S, Xu, G, Xu, R, Yadgir, S, Yahyazadeh Jabbari, S, Yamagishi, K, Yaminfirooz, M, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yeheyis, T, Yilgwan, C, Yilma, M, Yip, P, Yonemoto, N, Younis, M, Younker, T, Yousefi, B, Yousefi, Z, Yousefinezhadi, T, Yousuf, A, Yu, C, Yusefzadeh, H, Moghadam, T, Zamani, M, Zamanian, M, Zandian, H, Zastrozhin, M, Zhang, Y, Zhang, Z, Zhao, J, Zhao, X, Zhao, Y, Zheng, P, Zhou, M, Ziapour, A, Zimsen, S, Lim, S, Murray, C, GBD 2019 Risk Factors Collaborator, Violante FS, Biosciences, Department of Public Health, Clinicum, Department of Neurosciences, HUS Comprehensive Cancer Center, Environmental Sciences, Sub Foundations&PhilosophyofNaturSc begr, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Public Health, Bin Sayeed, M. S. B., Caetano Dos Santos, F. L., Camera, L. A., Elyazar, I. R. F., Ayalew Gebreslassie, A. A. A., Ginindza, T. G., Matin, B. K., Morgado-Da-Costa, J., Khaneghah, A. M., Mahesh, P. A., Toroudi, H. P., Syed, Z. Q., Salem, M. R., Skou, S. T., Tovani-Palone, M. R., Tudor Car, L. T., and Moghadam, T. Z.
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Male ,Nutritional Sciences ,Specific risk ,Contaminación del Aire Interior ,030204 cardiovascular system & hematology ,Socioeconomic Factor ,systematic analysis ,Global Health ,Body Mass Index ,Global Burden of Disease ,Health Risk Behavior ,Health Risk Behaviors ,Disease studies ,0302 clinical medicine ,Risk Factors ,METABOLIC RISKS ,030212 general & internal medicine ,11 Medical and Health Sciences ,Factores de Riesgo ,2. Zero hunger ,education.field_of_study ,Public health ,Injuries ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,GBD ,risck factors ,attributable burden of disease ,3142 Public health care science, environmental and occupational health ,3. Good health ,Relative risk ,Environmental health ,Health ,Hypertension ,Global Burden of Diseases, Injuries, Risk Factors ,A990 Medicine and Dentistry not elsewhere classified ,Female ,Leading risk factors ,Global Health Metrics ,Cohort study ,Human ,medicine.medical_specialty ,Substance-Related Disorders ,Population ,UNITED-STATES ,Risk Assessment ,DIET ,ITC-HYBRID ,03 medical and health sciences ,Life Expectancy ,MORTALITY ,DISABILITY ,POLLUTION ,CLUSTERS ,SDG 3 - Good Health and Well-being ,General & Internal Medicine ,medicine ,Humans ,Global Burden of Disease Study ,Risk factor ,education ,Global burden ,business.industry ,Risk Factor ,Malnutrition ,Klinisk medicin ,Global Burden of Diseases ,Environmental Exposure ,medicine.disease ,Enfermedades ,purl.org/pe-repo/ocde/ford#3.02.00 [https] ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Years of potential life lost ,Socioeconomic Factors ,Risk factors ,Disease study ,Hyperglycemia ,ITC-ISI-JOURNAL-ARTICLE ,NA ,Clinical Medicine ,business ,RA - Abstract
Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk-outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk-outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk-outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10.8 million (95% uncertainty interval [UI] 9.51-12.1) deaths (19.2% [16.9-21.3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8.71 million (8.12-9.31) deaths (15.4% [14.6-16.2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253-350) DALYs (11.6% [10.3-13.1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0-9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10-24 years, alcohol use for those aged 25-49 years, and high systolic blood pressure for those aged 50-74 years and 75 years and older. Interpretation Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.
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- 2020
26. IMPACT OF ECONOMIC CRISIS ON WOOD MARKETS (CONSUMPTION, PRODUCTION AND TRADE)
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Maria‐Loredana POPESCU, Antoniu PREDESCU, and Mihaela‐Diana OANCEA‐NEGESCU
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wood ,furniture ,production ,deforestation ,taxation ,crisis. ,Business ,HF5001-6182 - Abstract
Global economic crisis represents one of the causes why wood consumption is increasing especially in countries less developed. In countries where governments couldn’t improve the quality of life and unemployment rate is higher, local communities devastate a lot of forestry. In last thirty years we saw a deforestation process at the global level related to land being converted to other uses: agriculture and urbanization, which represent a positive trend of a negative use. The statistics reveal, on one hand, an increasing demand for paper, paper products, wood products and wood energy. So this point is important to analyze: where wood came from and where it is going as either raw material or processed goods? For undeveloped countries, like Romania, it is easy to export primary wood product without evaluating the consequences. On the other hand, developed countries like Sweden export value added products which brig them higher value and profits and require greater manufacturing and marketing skills (case IKEA). For this, government policy could introduce trade barriers to decrease log consumption (like export taxes) and simultaneously support furniture production and trade (e.g. export).
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- 2013
27. Telangiectasias on the lips and hands of a teenage girl
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Lucía Campos-Muñoz, Álvaro Iglesias-Puzas, Alberto Conde-Taboada, Eduardo López-Bran, and Raluca Oancea Ionescu
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medicine.medical_specialty ,Adolescent ,business.industry ,media_common.quotation_subject ,Dermatology ,Hand ,Lip ,Arteriovenous Malformations ,Upper Extremity ,Pediatrics, Perinatology and Child Health ,Humans ,Medicine ,Female ,Telangiectasia, Hereditary Hemorrhagic ,Girl ,business ,media_common - Published
- 2021
28. INSPIRO project – Educational intervention against non-adherence to inhalation therapy for Romanian asthma and COPD patients
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Florin Mihaltan, Alina Croitoru, Floarea Mimi Nitu, Ruxandra Rajnoveanu, Petronela Ariadna Fildan, Ruxandra Ulmeanu, Daniela Boldeanu, Cristian Oancea, and Ramona Nedelcu
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medicine.medical_specialty ,Inhalation ,business.industry ,Copd patients ,medicine.disease ,030226 pharmacology & pharmacy ,Non adherence ,03 medical and health sciences ,0302 clinical medicine ,030228 respiratory system ,Intervention (counseling) ,medicine ,Intensive care medicine ,business ,Asthma - Abstract
Background In the management of chronic respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD), adherence to therapy represents a key to success. Objective The objective was to increase adherence to treatment through the development of educational intervention (EI) for asthma and COPD, addressed to patients and general practitioners (GPs). The educational programme includes group educational sessions and educational materials and was carried out in five Romanian hospitals. The results were assessed through Test of Adherence to Inhalers (TAI) questionnaire. Results Of note, 347 GPs and 435 patients were included. Seventy-six per cent of the GPs considered that the main causes of non-adherence are the disease misunderstanding, difficulty of using inhaled medication, fear of adverse effects, the patient’s conviction that no medicine is useful for his illness and financial nature (20%). Fifty-five per cent of surveyed GPs believed that their patients always or most of the time adhere to inhaled therapy but 57% of the same surveyed GPs checked the inhalation technique of their patients sometimes, rarely or never. Only 44% of the GPs discussed with the pulmonologist about their patient’s disease. Before the EI, only 32% of patients had a good adherence score to therapy; this percentage increases to 57% after EI. The most common reasons for non-adherence were: patient forgets to administer his inhalation medication daily (49%), fear of adverse effects (33%), belief that medication is useless (26%), and fear that inhalation medication affects everyday life of the patient (24%). Nearly half of the patients (47%) give up medication when they feel better. Forty per cent of patients drop off inhalation treatments due to financial reasons. The most influenced behaviours as a result of the EI were psychological component (85%), fear of the adverse events (82%) and social component (79%). Conclusions The non-adherence to therapy remains a real problem in asthma and COPD patients in our study group, but EI had positive effects. Extending medical education programmes for patients focused on main reasons of poor adherence, such as forgetting to take medication daily, use of inhalator devices, not understanding their disease, may significantly increase adherence to inhalation treatment.
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- 2020
29. Hypersensitivity pneumonitis – acceptance of the diagnosis
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Zsolt Vastag, Cristian Oancea, Andrada Gârjoabă, Patricia Hogea, and Emanuela Tudorache
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medicine.medical_specialty ,business.industry ,Medicine ,business ,medicine.disease ,Dermatology ,Hypersensitivity pneumonitis ,respiratory tract diseases - Abstract
Hypersensitivity pneumonia (HP) is an inflammatory lung syndrome due to repetitive exposure to small organic particles. The etiological agents of the disease are diverse and can be represented by fungi, bacteria, small molecule chemical compounds, as well as proteins from animals or insects. We present the case of a 25-year-old male, who was admitted to our Pulmonology Clinic for the following symptoms: morning cough with mucosal sputum for about 2 years, moderate exertional dyspnea (mMRC 3) started for 2 months, weight loss of about 6 kg in the past 5 months and fatigue. Clinical examination revealed bilateral mid- basal crackling rales. Chest high-resolution computed tomography (HRCT) (multiple micronodular opacities, diffuse contoured, bilaterally disseminated), lung function tests (restrictive ventilatory dysfunction with decreased carbon monoxide diffusing capacity), bronchoalveolar lavage (BAL) (lymphocyte alveolitis) and serological tests (positive antibodies for pigeon heathers and dejections) pointed to the diagnosis of hypersensitivity pneumonitis. It was recommended to avoid exposure to pigeons, as the patient was a pigeon breeder. Prednisone treatment was initiated. The general condition of the patient 1 month after diagnosis had improved, the evolution being good under treatment.
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- 2020
30. The reverse of the coin: Methotrexate and liver fibrosis in a group of psoriatic arthritis patients
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Roxana Mihaela Dumitrascu, Nicolae Dan Florescu, Pharmacy, Craiova, Romania, Simona Banicioiu Covei, Paulina Lucia Ciurea, Carmen Nicoleta Oancea, Beatrice Andreea Chisalau, Stefan Cristian Dinescu, Cristina Dorina Pirvanescu, Cristina Gabriela Ene, Sineta Cristina Firulescu, Bogdan Silviu Ungureanu, Andreea Lili Barbulescu, and Florentin Ananu Vreju
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psoriatic arthritis ,medicine.medical_specialty ,business.industry ,Liver fibrosis ,RC581-607 ,medicine.disease ,Gastroenterology ,transient elastography ,methotrexate ,Psoriatic arthritis ,Internal medicine ,medicine ,Medicine ,General Materials Science ,Methotrexate ,Immunologic diseases. Allergy ,business ,medicine.drug ,liver fibrosis - Abstract
Objectives. We aimed to assess the presence of liver fibrosis using transient elastography in a group of PsA patients, compared to controls, and its possible relationship with MTX treatment. Methods. We performed a prospective study on 41 patients diagnosed with PsA admitted to the Rheumatology Department of the Emergency County Hospital Craiova and a control group, of 20 sex and age-matched subjects. Patients data included demographic, clinical and laboratory parameters and were collected from every patient in accordance to the study protocol. Liver stiffness was evaluated using transient elastograhy, by an experienced investigator, using Fibroscan system (Echosens, Paris, France). Results. After assessing liver fibrosis (LF) by transient elastography, we obtained statistically significant values compared to controls (6.04+1.65 kPa vs 4.16 +0.93 kPa, p = 0.002); liver fibrosis was found in 11 patients (26.81%), 9 of them undergoing MTX treatment. Analyzing the impact of MTX treatment, we found statistically significant values between the two groups (6.04+1.65 kPa for MTX treated group vs 5.35+1.30kPa, p = 0.03 for non-MTX patients). Analyzing the differences between patients with/without liver fibrosis, we reckoned the following data: no differences for sex, age, alcohol consumption, hypertension, diabetes or hepatic function; significant differences were observed for BMI, dyslipidemia and fatty liver. Conclusions. Hepatic involvement, especially liver fibrosis might be underestimated in PsA patients, and it is necessary to be properly and periodically evaluated in order to prevent further complications and maintain the efficient and safe dose of MTX, the first line therapeutic agent chosen for these patients. Non invasive hepatic imaging methods, such as transient elastography should certainly be considered for screening, along with a proper monitoring of comorbidities.
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- 2020
31. Agreement of two pre-trained deep-learning neural networks built with transfer learning with six pathologists on 6000 patches of prostate cancer from Gleason2019 Challenge
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Mircea Sebastian Şerbănescu, Carmen Nicoleta Oancea, Iancu Emil Pleşea, Costin Teodor Streba, Liliana Streba, Daniel Pirici, and Răzvan Mihail Pleşea
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Male ,Embryology ,Computer science ,030232 urology & nephrology ,Machine learning ,computer.software_genre ,History, 21st Century ,Pathology and Forensic Medicine ,03 medical and health sciences ,Prostate cancer ,0302 clinical medicine ,Gleason grading system ,medicine ,Humans ,Ground truth ,Original Paper ,Gleason2019 Grand Challenge ,Artificial neural network ,business.industry ,Deep learning ,deep learning ,Prostatic Neoplasms ,Cell Biology ,General Medicine ,medicine.disease ,prostate cancer ,neural networks ,Pathologists ,General purpose ,030220 oncology & carcinogenesis ,Female ,Artificial intelligence ,Transfer of learning ,business ,computer ,agreement ,Developmental Biology - Abstract
Introduction While the visual inspection of histopathology images by expert pathologists remains the golden standard method for grading of prostate cancer the quest for developing automated algorithms for the job is set and deep-learning techniques have emerged on top of other approaches. Methods Two pre-trained deep-learning networks, obtained with transfer learning from two general purpose classification networks - AlexNet and GoogleNet, originally trained on a proprietary dataset of prostate cancer were used to classify 6000 cropped images from Gleason2019 Challenge. Results The average agreement between the two networks and the six pathologists was found to be substantial for AlexNet and moderate for GoogleNet. When tested against the majority vote of the six pathologists the agreement was perfect and moderate for AlexNet, and GoogleNet, respectively. Despite our expectations, the average inter-pathologist agreement was moderate, while between the two networks it was substantial. Resulted accuracy for AlexNet and GoogleNet when tested against the majority vote as ground truth was of 85.51% and 74.75%, respectively. This result was higher than the score obtained on the dataset that they were trained on, showing their generalization capabilities. Conclusions Both the agreement and the accuracy indicate a better performance of AlexNet over GoogleNet, making it suitable for clinical deployment thus could potentially contribute to faster, more accurate and with higher reproducibility prostate cancer diagnosis.
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- 2020
32. Lung Function Assessment by Impulse Oscillometry in Adults
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Ovidiu Fira-Mladinescu, Monica Marc, Noemi Porojan-Suppini, Emanuela Tudorache, and Cristian Oancea
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Spirometry ,medicine.medical_specialty ,medicine.drug_class ,medicine.medical_treatment ,030204 cardiovascular system & hematology ,Pulmonary function testing ,03 medical and health sciences ,0302 clinical medicine ,Bronchodilator ,medicine ,Oscillometry ,Pharmacology (medical) ,030212 general & internal medicine ,General Pharmacology, Toxicology and Pharmaceutics ,Intensive care medicine ,Asthma ,Mechanical ventilation ,COPD ,Chemical Health and Safety ,medicine.diagnostic_test ,business.industry ,General Medicine ,respiratory system ,medicine.disease ,respiratory tract diseases ,Impulse Oscillometry ,business ,Safety Research - Abstract
Over the past decades, impulse oscillometry (IOS) has gained ground in the battery of pulmonary function tests. Performing the test requires minimal cooperation of the patient; therefore, it is a useful tool, especially in evaluating lung mechanics in children, elderly patients, and those who cannot perform spirometry. Oscillometry has also been used in both clinical and research departments. Studies were published mainly in asthma regarding detection of bronchodilator response and the therapeutic response to different drugs. Furthermore, it has been shown to be a sensitive technique to evaluate disease control. Other studied diseases were COPD, interstitial lung diseases, small airway disease, impairment of lung function due to exposure to occupational hazards or smoking, central airways obstruction, cystic fibrosis, monitoring lung mechanics during mechanical ventilation and sleep, neuromuscular diseases, lung transplant, and graft function. The aim of this review is to present the utility of oscillometry on the previously mentioned clinical fields.
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- 2020
33. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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Sorin Hostiuc, Shaun Wen Huey Lee, Jorge R. Ledesma, Carsten Flohr, Masoumeh Sadeghi, João Mauricio Castaldelli-Maia, Behzad Karami Matin, Cyrus Alinia, Mehdi Bohluli, Félix Carvalho, Yun Jin Kim, Catalina Liliana Andrei, Seyyed Meysam Mousavi, Bernhard T. Baune, Ehsan Ahmadpour, Dinh-Toi Chu, Beatrix Haddock, Gianfranco Alicandro, Vasily Vlassov, Mohammad Taghi Khodayari, Gianna Gayle Herrera Amul, Arash Tehrani-Banihashemi, Govinda Prasad Dhungana, Fereshteh Ansari, Michael K. Hole, Azeem Majeed, Iman Halvaei, Saqib Ali, Arianna Maever L. Amit, Tomas Y. Yeheyis, John S. Ji, Martin McKee, Jamileh Shadid, Leonardo Roever, Peng Jia, Ettore Beghi, Pablo M. Lavados, Young Eun Kim, Vahid Alipour, Sowmya J. Rao, Ahmad Daryani, Cathleen Keller, Ibrahim Abdollahpour, Nicole K. DeCleene, Ebrahim Babaee, Saman Esmaeilnejad, Boris Bikbov, William M. Gardner, Lydia M. Haile, Luca Ronfani, Azalea M. Thomson, Irena Ilic, Ruth W. Kimokoti, Yingxi Zhao, Guoqing Hu, Mehran Shams-Beyranvand, Ilais Moreno Velásquez, Nathaniel J. Henry, Brijesh Sathian, Daniel Kim, Peter Memiah, Mohammad Hadi Abbasi, Andrea Farioli, Zahra Kamiab, Bolajoko O. Olusanya, Matthew C. Doxey, Tommi Vasankari, Hamideh Salimzadeh, Luisa Sorio Flor, Priya Rathi, Shanshan Li, Tanvir M. Huda, Dillon O Sylte, Rosario Cárdenas, Agegnehu Bante, Helen Ippolito, Alyssa Acebedo, Jeffrey D. Stanaway, Anwar Faraj, João Pedro Silva, Amin Mousavi Khaneghah, Pushpendra Kumar, Sangram Kishor Patel, Josephine W. Ngunjiri, Holly E. Erskine, Eugene Sobngwi, Filippo Ariani, Shane D. Morrison, Mohammad Aghaali, Meghan D. Mooney, Vera Marisa Costa, Palash Chandra Banik, Rupak Desai, Ken Takahashi, Maigeng Zhou, Morteza Oladnabi, Bogdan Oancea, Daniela Ribeiro, Mohammad Farahmand, Irmina Maria Michalek, Yetunde O. John-Akinola, Khem Narayan Pokhrel, Emilie R Maddison, Syed Mohamed Aljunid, Damian G. Hoy, Hosni Salem, V. Prakash, Shuhei Nomura, Inga Dora Sigfusdottir, Anders Larsson, Sharareh Eskandarieh, Abdollah Mohammadian-Hafshejani, Somayeh Bohlouli, Joana Morgado-da-Costa, Siamak Sabour, Theo Vos, Han Yong Wunrow, Khaled Khatab, Alireza Zangeneh, Ann Kristin Knudsen, Marissa B Reitsma, Hannah J. Henrikson, Randah R. Hamadeh, Tuomo J. Meretoja, Ireneous N. Soyiri, Giuseppe Grosso, Ziyad Al-Aly, Taraneh Yousefinezhadi, Joseph L Ward, Roba Khundkar, Ricardo Santiago Gomez, Reza Malekzadeh, John J. McGrath, Sandra B. Munro, Shahin Soltani, Amy E. Peden, Rufus Akinyemi, Marcel Ausloos, Naohiro Yonemoto, Bogdan Wojtyniak, Ahmad Ghashghaee, Guilherme Borges, Sadia Bibi, Farhad Islami, Hamed Mirzaei, Mohammad Ali Sahraian, M. Ashworth Dirac, Hosna Janjani, Kairat Davletov, Hermann Brenner, Yuichiro Yano, Elissa M. Abrams, Ana Vukovic, Bartosz Miazgowski, Jobert Richie Nansseu, Jennifer O Lam, Mona Pathak, Leeberk Raja Inbaraj, Thirunavukkarasu Sathish, Asadollah Gholamian, Carlos A Castañeda-Orjuela, Babak Eshrati, Edgar Denova-Gutiérrez, Atte Meretoja, Lorenzo Monasta, Ronan A. Lyons, Neda Kianipour, Desalegn Getnet Demsie, Yasir Waheed, Desta Debalkie Atnafu, Davide Sattin, Kevin S Ikuta, Ghobad Moradi, Srinivas Goli, Krittika Bhattacharyya, Mika Kivimäki, Christopher Troeger, Jordi Alonso, Alireza Ahmadi, Navid Manafi, Caroline Stein, Songhomitra Panda-Jonas, Jason Nguyen, Moses K. Muriithi, Aziz Rezapour, Ismael R. Campos-Nonato, Adrian Pana, H. Dean Hosgood, Noore Alam, James L. Fisher, Mariam Molokhia, Susan F. Rumisha, Ernoiz Antriyandarti, Ayman Grada, Emma Nichols, Babak Asghari, André Luiz Sena Guimarães, Ferrán Catalá-López, Aletta E. Schutte, Fiona B. Bennitt, Maciej Banach, Antonio Biondi, Donal Bisanzio, Josip Car, Ronny Westerman, Shafiu Mohammed, Biniyam Sahiledengle Geberemariyam, Kenji Shibuya, Meghdad Pirsaheb, Milena Santric-Milicevic, Karen M. Tabb, Paula Moraga, Soheil Hassanipour, Hasan Yusefzadeh, Avina Vongpradith, Dara K. Mohammad, Ralph Maddison, Babak Moazen, Getachew Mullu Kassa, Rahman Shiri, Fernando Neves Hugo, Hmwe H Kyu, Zachary V Dingels, Florian Fischer, Valentin Yurievich Skryabin, Rafael Tabarés-Seisdedos, Massimo Cirillo, Nikita Otstavnov, Robert C. Reiner, Van C. Lansingh, Rodrigo Sarmiento-Suarez, Ashkan Afshin, Benjamin A Stark, Mohsen Abbasi-Kangevari, Natalie C. Galles, Behnam Heidari, Eun-Kee Park, Mohammad Ali Jahani, Suzanne Polinder, Mahalaqua Nazli Khatib, Farhad Jadidi-Niaragh, Amir Radfar, Mowafa Househ, Derrick A Bennett, Gaorui Guo, Hesam Ghiasvand, Taweewat Wiangkham, Tamás Joó, Cristiana Abbafati, Kathryn Mei Ming Lau, Anita K. Nandi, Miklós Szócska, Manasi Kumar, Eduardo A. Undurraga, Oladimeji M. Adebayo, Simon Yadgir, Victor Aboyans, Justin J. Lang, Catherine O. Johnson, Soewarta Kosen, Carla Sofia e.Sá Farinha, Marcos Roberto Tovani-Palone, Kamarul Imran Musa, Farshad Pourmalek, Kiomars Sharafi, Heather Orpana, Samuel B. Albertson, Mahdi Afshari, Nicholas J K Breitborde, Nelson J. Alvis-Zakzuk, Adrian Oţoiu, Iván Landires, Robert G. Weintraub, Kidanemaryam Berhe, André Faro, Sophia Emmons-Bell, Lauren E. Schaeffer, Alexandre C. Pereira, Mehdi Naderi, Yordanos Gizachew Yeshitila, Mehdi Hosseinzadeh, Arash Etemadi, Oleguer Plana-Ripoll, Theodore Patrick Younker, Joemer C. Maravilla, Alireza Ansari-Moghaddam, Borhan Mansouri, Narayanaswamy Venketasubramanian, Seyed Mohammad Kazem Aghamir, Linda Morales, Amanda Deen, Noushin Mohammadifard, Obinna Onwujekwe, Ai Koyanagi, Michele Nguyen, Chieh Han, Kiana Ramezanzadeh, Mika Shigematsu, Mohammed Shannawaz, Khurshid Alam, Javad Nazari, Bryan L. Sykes, Rajat Das Gupta, Stephen S Lim, Lingkan Barua, Zubair Kabir, Michael Brauer, Afarin Rahimi-Movaghar, Deepa Jahagirdar, Kaja Abbas, Gholamreza Bazmandegan, Mark A. Stokes, Rajaa Al-Raddadi, Kanyin L. Ong, Kate Causey, Ahmed Omar Bali, Matilde Leonardi, Jeffrey V. Lazarus, Wondimeneh Shibabaw Shiferaw, André Karch, Blair R. Bumgarner, Nelson Alvis-Guzman, Jennifer H MacLachlan, Saeed Amini, Parvaiz A Koul, Blessing J. Akombi, Ro Ting Lin, Dabere Nigatu, Alaa Badawi, Flavia M. Cicuttini, Deanna Anderlini, Claudio Alberto Dávila-Cervantes, Rupert R A Bourne, Tanuj Kanchan, Catherine P. Benziger, Tahiya Alam, M. Mofizul Islam, Muktar Omer Omer, Leila Zaki, Mehdi Mirzaei-Alavijeh, Inbal Salz, Katharine J Looker, Shiwei Liu, Fatemeh Amiri, Christopher R. Cederroth, Mitra Abbasifard, Hamidreza Pazoki Toroudi, Gbenga A. Kayode, Antonio Luiz Pinho Ribeiro, Krishna Kumar Aryal, Mu'awiyyah Babale Sufiyan, Mohamed M. Gad, Assefa Desalew, Lidia Morawska, Davood Anvari, Mohammad Reza Salahshoor, Hadi Pourjafar, Abdu A. Adamu, Maryam Adabi, Zulfiqar A. Bhutta, Jessica A. Cruz, Foad Abd-Allah, Amir Hasanzadeh, Jordan Weiss, Maryam Ghadimi, Seyed-Mohammad Fereshtehnejad, Serge Resnikoff, Joanna L Whisnant, Kelly Compton, Priya Parmar, Sanjay Basu, Leila R Kalankesh, Nickolas Reinig, Ana Maria Mantilla Herrera, Fatemeh Rajati, Damian Santomauro, Mojisola Oluwasanu, Sheikh Mohammed Shariful Islam, David M. Pereira, Joht Singh Chandan, Deepak Kumar Pasupula, Aristidis Tsatsakis, Hoa Thi Do, Whitney L. Teagle, Hans W. Hoek, James Leigh, Morteza Arab-Zozani, Yasser Vasseghian, Stephanie R M Zimsen, Charlie Ashbaugh, Fariba Dorostkar, Abdelrahman Ibrahim Abushouk, Mikk Jürisson, Golnaz Heidari, Kala M. Mehta, Saeed Shahabi, Sarah Wulf Hanson, Nizal Sarrafzadegan, Dharmesh Kumar Lal, Hai Quang Pham, Aleksandr Y. Aravkin, Joshua A. Salomon, David C. Schwebel, Milena Ilic, Kareha M Agesa, Jost B. Jonas, Dian Kusuma, Benjamin B. Massenburg, Santosh Varughese, Yousef Mohammad, Beatriz Paulina Ayala Quintanilla, Mihaela Hostiuc, Richard G. Cowden, Morteza Shamsizadeh, Thomas Pilgrim, Alessandra C. Goulart, Leila Doshmangir, Gabriele Nagel, Saravanan Muthupandian, Zahra Sadat Dibaji Forooshani, Maryam Mirzaei, Zabihollah Yousefi, Shadrach Wilson, Iman El Sayed, Juanita A. Haagsma, Segun Emmanuel Ibitoye, Eirini Skiadaresi, Reza Shirkoohi, Tim Driscoll, Morteza Jafarinia, Maha El Tantawi, Telma Zahirian Moghadam, Katarzyna Kissimova-Skarbek, Abdilahi Yousuf Yousuf, Dickson A. Amugsi, Awoke Misganaw, Maseer Khan, Norito Kawakami, Jingkai Wei, Jai K Das, Vishnu Renjith, Tessa M. Pilz, Sameer Vali Gopalani, Roghiyeh Faridnia, Islam Y. Elgendy, Prateek Rastogi, Lauren B. Wilner, Josep Maria Haro, Zahiruddin Quazi Syed, Ben Lacey, Ketema Bizuwork Gebremedhin, Sam Rolfe, Iffat Elbarazi, Yannick Béjot, Raimundas Lunevicius, Sezer Kisa, Harish Chander Gugnani, Basema Saddik, Manu Raj Mathur, Mansour Ghafourifard, Riaz Uddin, Anna Poznańska, Faris Lami, Niguse Meles Alema, Michael T. Chung, Arya Aminorroaya, Arash Sarveazad, Erkin M. Mirrakhimov, Seyed Hossein Yahyazadeh Jabbari, João M. Furtado, Hamid Ahmadieh, Sara Conti, Yunquan Zhang, Manthan D Janodia, Aislyn U. Orji, S. Mohammad Sajadi, Jalal Arabloo, Gabrielle B. Britton, Colm McAlinden, Francisco Rogerlândio Martins-Melo, Simona Cătălina Ştefan, Ester Cerin, Nuno Taveira, Lars Jacob Stovner, Amir Taherkhani, Masoud Foroutan, Tomasz Miazgowski, Amir Manafi, Yeshambel T. Nigatu, Barthelemy Kuate Defo, Mithila Faruque, Alan D. Lopez, Man Mohan Mehndiratta, Graeme J. Hankey, Mojgan Gitimoghaddam, Chantal Huynh, G Anil Kumar, Martin Amogre Ayanore, Abbas Sheikhtaheri, Turki Alanzi, Simon Øverland, David Laith Rawaf, Brian J. Hall, Edward J Mills, Ali Kabir, Ravi Prakash Jha, Akbar Barzegar, Simin Mouodi, Alize J. Ferrari, Chirag P. Doshi, Saleh Salehi Zahabi, Mohsen Naghavi, Mohammad Hassan Emamian, Amir Jalali, Chukwudi A Nnaji, Kebadnew Mulatu Mihretie, Maarten J. Postma, David Edvardsson, Chhabi Lal Ranabhat, Catherine M. Antony, Hannah Han, Ken Lee Chin, Getinet Ayano, Kewal Krishan, Maryam Zamanian, Farshad Farzadfar, Ali A. Asadi-Pooya, Daniel Diaz, Oliver J. Brady, Mohsen Bayati, Christopher M Odell, Jalil Jaafari, Walter Mendoza, Susanna Dunachie, Raffaele Palladino, Raaj Kishore Biswas, Alessandra Lugo, Reshmi Bhageerathy, Paulo A. Lotufo, Maia Kereselidze, Salman Rawaf, Olayinka Stephen Ilesanmi, Mousa Yaminfirooz, Neeraj Bedi, Mahesh P A, Harvey Whiteford, Gina Agarwal, Pallab K. Maulik, Ranjitha S Shetty, Adhanom Gebreegziabher Baraki, Prasanna Mithra, Binyam Minuye Birihane, Mohammad Ali Mansournia, Tomislav Mestrovic, Razique Anwer, Marcello Tonelli, Hanne Christensen, Juan Jesus Carrero, Ali H. Mokdad, Alberto Ortiz, Samad Azari, Ted R. Miller, Rebecca Ivers, Stephen R. Robinson, Saeid Safiri, Masood Ali Shaikh, Rajesh Sagar, Kelly Cercy, Mehran Asadi-Aliabadi, João Vasco Santos, Maziar Moradi-Lakeh, Sarah Lewington, Dimas Ria Angga Pribadi, Savita Lasrado, Abdul Moiz Hafiz, Amir Almasi-Hashiani, Burcu Kucuk Bicer, Praveen Hoogar, Fatemeh Heydarpour, Hala Rashad Elhabashy, Peng Zheng, Senthilkumar Balakrishnan, Paul H. Lee, Cameron J. Kneib, Srinivasa Rao Bolla, Harrison Chase Gottlich, Andrew M. Briggs, Alibek Mereke, Om P Kurmi, Kavumpurathu Raman Thankappan, Nikolay Ivanovich Briko, Shahram Saeidi, Anbissa Muleta Senbeta, Assefa Ayalew Ayalew Ayalew Gebreslassie, Aminu K. Bello, Tomi Akinyemiju, Ambrish Singh, Anamika Pandey, Matthew Cunningham, Endalkachew Worku Mengesha, Christine Linehan, Ata Rafiee, Maria Inês Schmidt, Vincent C. Iannucci, Stanislav S. Otstavnov, Andre M. N. Renzaho, Dinesh Bhandari, Masoud Moghadaszadeh, Atkilt Esaiyas Etisso, Valery L. Feigin, Christopher J L Murray, James D. Harvey, Daniel Cury Ribeiro, Girikumar Kumaresh, Javad Yoosefi Lebni, Elisabetta Pupillo, Shaimaa I. El-Jaafary, Marlena S Bannick, Caitlyn Steiner, Agus Sudaryanto, Eduardo Bernabé, Fereshteh Mehri, Rafael Alves Guimarães, Zemenu Tadesse Tessema, Shaun Roberts, Rajeev Gupta, Jamal A. Yearwood, Nima Rezaei, Muhammad Shahdaat Bin Sayeed, David M. Pigott, Hadi Hassankhani, Samuel M. Ostroff, Gerhard Sulo, Keyghobad Ghadiri, Pankaj Bhardwaj, Suzanne Lyn Barker-Collo, Fiona J Charlson, Norberto Perico, Jonathan M. Kocarnik, Sergio I. Prada, Mohammad Sadegh Rezai, Mustafa Z. Younis, Neeraj Bhala, Mahmoud Yousefifard, Hue Thi Mai, Marwa Rashad Salem, Reza Pourmirza Kalhori, Carl Abelardo T. Antonio, Stefan Lorkowski, Farzad Jalilian, Nicholas J Kassebaum, Haley Lescinsky, Gholamreza Roshandel, Reza Heidari-Soureshjani, Kirsten E. Wiens, Ionut Negoi, Bhaskaran Unnikrishnan, Daniel J. Weiss, Sare Safi, Hamid Reza Tohidinik, Fablina Sharara, François Alla, Mohammad Rabiee, Sivan Yegnanarayana Iyer Saraswathy, Jack T Fox, Amirhossein Sahebkar, Ratilal Lalloo, Panniyammakal Jeemon, Rohollah Kalhor, Firooz Esmaeilzadeh, Brittney S. Sheena, Kyle E. Simpson, Muluken Bekele Sorrie, Vivekanand Jha, Morteza Abdullatif Khafaie, Seyed Mohammad Riahi, Nader Jahanmehr, Yuming Guo, George C. Patton, Rashid Abdi Guled, Tim C.D. Lucas, Alberto Raggi, Peter W. Gething, Mohaimenul Islam, Abdallah M. Samy, Cuong Tat Nguyen, Kaleab Alemayehu Zewdie, Ahamarshan Jayaraman Nagarajan, Roman Topor-Madry, C. E. G. Brayne, Phoebe Anne Rhinehart, Isabela M. Benseñor, Michal Grivna, Taren M. Gorman, Natalie C. Momen, Afsaneh Arzani, Tufa Kolola, Maryam Khayamzadeh, Alexandra S. Boon-Dooley, Ihoghosa Osamuyi Iyamu, Nima Hafezi-Nejad, Hassan Abolhassani, Perminder S. Sachdev, Vivek Kumar, Anton Sokhan, Mahmood Moosazadeh, Davoud Adham, Ahad Bakhtiari, Nataliya A. Foigt, Venkatesh Maled, Henok Biresaw Netsere, Seyedeh Zahra Masoumi, Ashley Marks, Rizwan Kalani, Soraya Siabani, Jiayu Wang, Samath Dhamminda Dharmaratne, Lucas Guimarães Abreu, Vivian Chia-Rong Hsieh, Kris J. Krohn, Falk Schwendicke, Alex R. Chang, Muhammad Ali, Christine Lin, Rose G Bender, Arielle Wilder Eagan, Tissa Wijeratne, Chris D Castle, Saif Ullah, Nikolaos Dervenis, Joan B. Soriano, Syed Amir Gilani, Jianing Ma, Giuseppe Remuzzi, Dana Bryazka, Christian Razo, Manuela L. Ferreira, Ankur Joshi, Alireza Rafiei, Vinay Nangia, Victor Adekanmbi, Frances E. Dean, Chuanhua Yu, Elizabeth A. Cromwell, Pascual R. Valdez, Jennifer Rickard, Daniel Youngwhan Cho, Ashish Pathak, Angel Paternina-Caicedo, Mehdi Ahmadi, Zichen Liu, Achala Upendra Jayatilleke, Diego De Leo, Sarah Charlotte Johnson, Getenet Dessie, Zhi Jiang Zhang, Christopher S. Crowe, Farhad Ghamari, Behshad Naghshtabrizi, Francesco Saverio Violante, Muhammad Aziz Rahman, Ramesh Holla, Kate E. LeGrand, Christian Kieling, Vahid Yazdi-Feyzabadi, Shivanthi Balalla, Molly H Biehl, Mostafa Dianatinasab, Mina Anjomshoa, Abdel Douiri, Laith J. Abu-Raddad, Rade Vukovic, Amiran Gamkrelidze, Michael R. Phillips, Yafeng Wang, Sachin R Atre, Miriam Levi, Zelalem Nigussie Azene, Kevan R. Polkinghorne, Deepak Paudel, Hung Chun Liu, Zainab Samad, Robert P. Dellavalle, Florentino Luciano Caetano dos Santos, Juan Sanabria, Mohammad Fareed, Enrico Rubagotti, Samantha Leigh Larson, Anurag Agrawal, Shai Linn, Saad M.A. Dahlawi, Janni Leung, Shokofeh Maleki, Michael R.M. Abrigo, Michael Kravchenko, Mohd Anisul Karim, Alyssa N. Sbarra, Jacob L. Stubbs, Timothy J. Steiner, Helena Manguerra, Olatunji O. Adetokunboh, Amira Shaheen, Stein Emil Vollset, Yared Asmare Aynalem, Rajan Nikbakhsh, Ilana N. Ackerman, Srinivasa Vittal Katikireddi, Davide Rasella, Hedayat Abbastabar, Floriane Ausloos, Nauman Khalid, Ewerton Cousin, Nermin Ghith, Nebiyu Dereje Dereje, Rakhi Dandona, Mojtaba Bagherzadeh, Ahmed Abdelalim, Benn Sartorius, Giulio Castelpietra, Masih Tajdini, Stefanos Tyrovolas, Akram Pourshams, Ritesh G. Menezes, Eve E. Wool, Mohamed Hsairi, Alberto L. García-Basteiro, Lorainne Tudor Car, Rachelle Buchbinder, Franz Castro, Samiah Alam, Iman Ansari, Ahmed I. Hasaballah, Sanni Yaya, Silvia Schiavolin, Reza Mohammadpourhodki, Khalid A Altirkawi, Marco Vacante, Jacek A. Kopec, Archith Boloor, Simon I. Hay, Mathilde Touvier, Ensiyeh Jenabi, Deborah Carvalho Malta, Scott B. Patten, Arash Ziapour, Carlo La Vecchia, Seyed Sina Naghibi Irvani, Thomas Truelsen, Houman Goudarzi, Ryan Fitzgerald, Di H. 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S., Roberts, S., Robinson, S. R., Roever, L., Rolfe, S., Ronfani, L., Roshandel, G., Roth, G. A., Rubagotti, E., Rumisha, S. F., Sabour, S., Sachdev, P. S., Saddik, B., Sadeghi, E., Sadeghi, M., Saeidi, S., Safi, S., Safiri, S., Sagar, R., Sahebkar, A., Sahraian, M. A., Sajadi, S. M., Salahshoor, M. R., Salamati, P., Salehi Zahabi, S., Salem, H., Salem, M. R. R., Salimzadeh, H., Salomon, J. A., Salz, I., Samad, Z., Samy, A. M., Sanabria, J., Santomauro, D. F., Santos, I. S., Santos, J. V., Santric-Milicevic, M. M., Saraswathy, S. Y. I., Sarmiento-Suarez, R., Sarrafzadegan, N., Sartorius, B., Sarveazad, A., Sathian, B., Sathish, T., Sattin, D., Sbarra, A. N., Schaeffer, L. E., Schiavolin, S., Schmidt, M. I., Schutte, A. E., Schwebel, D. C., Schwendicke, F., Senbeta, A. M., Senthilkumaran, S., Sepanlou, S. G., Shackelford, K. A., Shadid, J., Shahabi, S., Shaheen, A. A., Shaikh, M. A., Shalash, A. S., Shams-Beyranvand, M., Shamsizadeh, M., Shannawaz, M., Sharafi, K., Sharara, F., Sheena, B. S., Sheikhtaheri, A., Shetty, R. S., Shibuya, K., Shiferaw, W. S., Shigematsu, M., Shin, J. I., Shiri, R., Shirkoohi, R., Shrime, M. G., Shuval, K., Siabani, S., Sigfusdottir, I. D., Sigurvinsdottir, R., Silva, J. P., Simpson, K. E., Singh, A., Singh, J. A., Skiadaresi, E., Skou, S. T. S., Skryabin, V. Y., Sobngwi, E., Sokhan, A., Soltani, S., Sorensen, R. J. D., Soriano, J. B., Sorrie, M. B., Soyiri, I. N., Sreeramareddy, C. T., Stanaway, J. D., Stark, B. A., Stefan, S. C., Stein, C., Steiner, C., Steiner, T. J., Stokes, M. A., Stovner, L. J., Stubbs, J. L., Sudaryanto, A., Sufiyan, M. B., Sulo, G., Sultan, I., Sykes, B. L., Sylte, D. O., Szocska, M., Tabares-Seisdedos, R., Tabb, K. M., Tadakamadla, S. K., Taherkhani, A., Tajdini, M., Takahashi, K., Taveira, N., Teagle, W. L., Teame, H., Tehrani-Banihashemi, A., Teklehaimanot, B. F., Terrason, S., Tessema, Z. T., Thankappan, K. R., Thomson, A. M., Tohidinik, H. R., Tonelli, M., Topor-Madry, R., Torre, A. E., Touvier, M., Tovani-Palone, M. R. R., Tran, B. X., Travillian, R., Troeger, C. E., Truelsen, T. C., Tsai, A. C., Tsatsakis, A., Tudor Car, L., Tyrovolas, S., Uddin, R., Ullah, S., Undurraga, E. A., Unnikrishnan, B., Vacante, M., Vakilian, A., Valdez, P. R., Varughese, S., Vasankari, T. J., Vasseghian, Y., Venketasubramanian, N., Violante, F. S., Vlassov, V., Vollset, S. E., Vongpradith, A., Vukovic, A., Vukovic, R., Waheed, Y., Walters, M. K., Wang, J., Wang, Y., Wang, Y. -P., Ward, J. L., Watson, A., Wei, J., Weintraub, R. G., Weiss, D. J., Weiss, J., Westerman, R., Whisnant, J. L., Whiteford, H. A., Wiangkham, T., Wiens, K. E., Wijeratne, T., Wilner, L. B., Wilson, S., Wojtyniak, B., Wolfe, C. D. A., Wool, E. E., Wu, A. -M., Wulf Hanson, S., Wunrow, H. Y., Xu, G., Xu, R., Yadgir, S., Yahyazadeh Jabbari, S. H., Yamagishi, K., Yaminfirooz, M., Yano, Y., Yaya, S., Yazdi-Feyzabadi, V., Yearwood, J. A., Yeheyis, T. Y., Yeshitila, Y. G., Yip, P., Yonemoto, N., Yoon, S. -J., Yoosefi Lebni, J., Younis, M. Z., Younker, T. P., Yousefi, Z., Yousefifard, M., Yousefinezhadi, T., Yousuf, A. Y., Yu, C., Yusefzadeh, H., Zahirian Moghadam, T., Zaki, L., Zaman, S. B., Zamani, M., Zamanian, M., Zandian, H., Zangeneh, A., Zastrozhin, M. S., Zewdie, K. A., Zhang, Y., Zhang, Z. -J., Zhao, J. T., Zhao, Y., Zheng, P., Zhou, M., Ziapour, A., Zimsen, S. R. M., Naghavi, M., Murray, C. J. L., Department of Public Health, Clinicum, Department of Neurosciences, HUS Comprehensive Cancer Center, Environmental Sciences, Public Health, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), Sálfræðideild (HR), Department of Psychology (RU), Samfélagssvið (HR), School of Social Sciences (RU), Háskólinn í Reykjavík, Reykjavik University, GBD 2019 Diseases and Injuries Collaborator, Violante FS, Department of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation, and UT-I-ITC-ACQUAL
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Male ,Life expectancy ,Disability-Adjusted Life Year ,Diseases ,Disease ,communicable disease ,systematic analysis ,Global Burden of Disease ,0302 clinical medicine ,80 and over ,Medicine ,10. No inequality ,Child ,11 Medical and Health Sciences ,injuries ,Aged, 80 and over ,education.field_of_study ,Sjúkdómar ,DEMENTIA ,FALLS ,General Medicine ,Forvarnir ,3. Good health ,Child, Preschool ,Human ,GBD ,Population health ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Humans ,Global Burden of Disease Study ,education ,Aged ,Spatial Analysis ,Global burden ,Disability ,Prevention ,DISABILITY ,Infant ,Spatial Analysi ,Mortality rate ,Global Burden of Disease, Diseases, Injuries, Systematic analysis ,PREVENTION ,Years of potential life lost ,Risk factors ,Disease study ,ITC-ISI-JOURNAL-ARTICLE ,RISK-FACTORS ,Clinical Medicine ,RA ,Demography ,Fötlun ,Dánartíðni ,Áhættuþættir ,030204 cardiovascular system & hematology ,Risk Factors ,Cause of Death ,Global health ,030212 general & internal medicine ,1. No poverty ,Disability-Adjusted Life Years ,Public Health, Global Health, Social Medicine and Epidemiology ,Middle Aged ,3142 Public health care science, environmental and occupational health ,Adolescent ,Adult ,Age Distribution ,Female ,Infant, Newborn ,Young Adult ,Lýðheilsa ,CLINICAL-TRIALS ,Population ,Settore MED/01 - Statistica Medica ,diseases ,ITC-HYBRID ,Heilbrigðisvísindi ,General & Internal Medicine ,Mortality ,Preschool ,Disease burden ,business.industry ,Risk Factor ,Klinisk medicin ,Newborn ,purl.org/pe-repo/ocde/ford#3.02.00 [https] ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Áverkar ,Systematic analysis ,NA ,business - Abstract
Publisher's version (útgefin grein), Background In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990-2010 time period, with the greatest annualised rate of decline occurring in the 0-9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10-24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10-24 years were also in the top ten in the 25-49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50-74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd., Research reported in this publication was supported by the Bill & Melinda Gates Foundation; the University of Melbourne; Queensland Department of Health, Australia; the National Health and Medical Research Council, Australia; Public Health England; the Norwegian Institute of Public Health; St Jude Children's Research Hospital; the Cardiovascular Medical Research and Education Fund; the National Institute on Ageing of the National Institutes of Health (award P30AG047845); and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. The authors alone are responsible for the views expressed in this Article and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated, the National Health Service (NHS), the National Institute for Health Research (NIHR), the UK Department of Health and Social Care, or Public Health England; the United States Agency for International Development (USAID), the US Government, or MEASURE Evaluation; or the European Centre for Disease Prevention and Control (ECDC). This research used data from the Chile National Health Survey 2003, 2009-10, and 2016-17. The authors are grateful to the Ministry of Health, the survey copyright owner, for allowing them to have the database. All results of the study are those of the authors and in no way committed to the Ministry. The Costa Rican Longevity and Healthy Aging Study project is a longitudinal study by the University of Costa Rica's Centro Centroamericano de Poblacion and Instituto de Investigaciones en Salud, in collaboration with the University of California at Berkeley. The original pre-1945 cohort was funded by the Wellcome Trust (grant 072406), and the 1945-55 Retirement Cohort was funded by the US National Institute on Aging (grant R01AG031716). The principal investigators are Luis Rosero-Bixby and William H Dow and co-principal investigators are Xinia Fernandez and Gilbert Brenes. The accuracy of the authors' statistical analysis and the findings they report are not the responsibility of ECDC. ECDC is not responsible for conclusions or opinions drawn from the data provided. ECDC is not responsible for the correctness of the data and for data management, data merging and data collation after provision of the data. ECDC shall not be held liable for improper or incorrect use of the data. The Health Behaviour in School-Aged Children (HBSC) study is an international study carried out in collaboration with WHO/EURO. The international coordinator of the 1997-98, 2001-02, 2005-06, and 2009-10 surveys was Candace Currie and the databank manager for the 1997-98 survey was Bente Wold, whereas for the following surveys Oddrun Samdal was the databank manager. A list of principal investigators in each country can be found on the HBSC website. Data used in this paper come from the 2009-10 Ghana Socioeconomic Panel Study Survey, which is a nationally representative survey of more than 5000 households in Ghana. The survey is a joint effort undertaken by the Institute of Statistical, Social and Economic Research (ISSER) at the University of Ghana and the Economic Growth Centre (EGC) at Yale University. It was funded by EGC. ISSER and the EGC are not responsible for the estimations reported by the analysts. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with license number SLN2014-3-170, after subjecting data to processing aiming to preserve the confidentiality of individual data in accordance with the General Statistics Law, 2000. The researchers are solely responsible for the conclusions and inferences drawn upon available data. Data for this research was provided by MEASURE Evaluation, funded by USAID. The authors thank the Russia Longitudinal Monitoring Survey, conducted by the National Research University Higher School of Economics and ZAO Demoscope together with Carolina Population Center, University of North Carolina at Chapel Hill and the Institute of Sociology, Russia Academy of Sciences for making data available. This paper uses data from the Bhutan 2014 STEPS survey, implemented by the Ministry of Health with the support of WHO; the Kuwait 2006 and 2014 STEPS surveys, implemented by the Ministry of Health with the support of WHO; the Libya 2009 STEPS survey, implemented by the Secretariat of Health and Environment with the support of WHO; the Malawi 2009 STEPS survey, implemented by Ministry of Health with the support of WHO; and the Moldova 2013 STEPS survey, implemented by the Ministry of Health, the National Bureau of Statistics, and the National Center of Public Health with the support of WHO. This paper uses data from Survey of Health, Ageing and Retirement in Europe (SHARE) Waves 1 (DOI:10.6103/SHARE. w1.700), 2 (10.6103/SHARE.w2.700), 3 (10.6103/SHARE.w3.700), 4 (10.6103/SHARE.w4.700), 5 (10.6103/SHARE.w5.700), 6 (10.6103/SHARE.w6.700), and 7 (10.6103/SHARE.w7.700); see Borsch-Supan and colleagues (2013) for methodological details. The SHARE data collection has been funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812), FP7 (SHARE-PREP: GA N degrees 211909, SHARE-LEAP: GA N degrees 227822, SHARE M4: GA N degrees 261982) and Horizon 2020 (SHARE-DEV3: GA N degrees 676536, SERISS: GA N degrees 654221) and by DG Employment, Social Affairs & Inclusion. Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the US National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C), and from various national funding sources is gratefully acknowledged. This study has been realised using the data collected by the Swiss Household Panel, which is based at the Swiss Centre of Expertise in the Social Sciences. The project is financed by the Swiss National Science Foundation. The United States Aging, Demographics, and Memory Study is a supplement to the Health and Retirement Study (HRS), which is sponsored by the National Institute of Aging (grant number NIA U01AG009740). It was conducted jointly by Duke University and the University of Michigan. The HRS is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and is conducted by the University of Michigan. This paper uses data from Add Health, a program project designed by J Richard Udry, Peter S Bearman, and Kathleen Mullan Harris, and funded by a grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 17 other agencies. Special acknowledgment is due to Ronald R Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website. No direct support was received from grant P01-HD31921 for this analysis. The data reported here have been supplied by the United States Renal Data System. The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as an official policy or interpretation of the US Government. Collection of data for the Mozambique National Survey on the Causes of Death 2007-08 was made possible by USAID under the terms of cooperative agreement GPO-A-00-08-000_D3-00. This manuscript is based on data collected and shared by the International Vaccine Institute (IVI) from an original study IVI conducted. L G Abreu acknowledges support from Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (Brazil; finance code 001) and Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq, a Brazilian funding agency). I N Ackerman was supported by a Victorian Health and Medical Research Fellowship awarded by the Victorian Government. O O Adetokunboh acknowledges the South African Department of Science and Innovation and the National Research Foundation. A Agrawal acknowledges the Wellcome Trust DBT India Alliance Senior Fellowship. S M Aljunid acknowledges the Department of Health Policy and Management, Faculty of Public Health, Kuwait University and International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia for the approval and support to participate in this research project. M Ausloos, C Herteliu, and A Pana acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. A Badawi is supported by the Public Health Agency of Canada. D A Bennett was supported by the NIHR Oxford Biomedical Research Centre. R Bourne acknowledges the Brien Holden Vision Institute, University of Heidelberg, Sightsavers, Fred Hollows Foundation, and Thea Foundation. G B Britton and I Moreno Velasquez were supported by the Sistema Nacional de Investigacion, SNI-SENACYT, Panama. R Buchbinder was supported by an Australian National Health and Medical Research Council (NHMRC) Senior Principal Research Fellowship. J J Carrero was supported by the Swedish Research Council (2019-01059). F Carvalho acknowledges UID/MULTI/04378/2019 and UID/QUI/50006/2019 support with funding from FCT/MCTES through national funds. A R Chang was supported by National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases grant K23 DK106515. V M Costa acknowledges the grant SFRH/BHD/110001/2015, received by Portuguese national funds through Fundacao para a Ciencia e Tecnologia, IP, under the Norma Transitaria DL57/2016/CP1334/CT0006. A Douiri acknowledges support and funding from the National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care South London at King's College Hospital NHS Foundation Trust and the Royal College of Physicians, and support from the NIHR Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust and King's College London. B B Duncan acknowledges grants from the Foundation for the Support of Research of the State of Rio Grande do Sul (IATS and PrInt) and the Brazilian Ministry of Health. H E Erskine is the recipient of an Australian NHMRC Early Career Fellowship grant (APP1137969). A J Ferrari was supported by a NHMRC Early Career Fellowship grant (APP1121516). H E Erskine and A J Ferrari are employed by and A M Mantilla-Herrera and D F Santomauro affiliated with the Queensland Centre for Mental Health Research, which receives core funding from the Queensland Department of Health. M L Ferreira holds an NHMRC Research Fellowship. C Flohr was supported by the NIHR Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust. M Freitas acknowledges financial support from the EU (European Regional Development Fund [FEDER] funds through COMPETE POCI-01-0145-FEDER-029248) and National Funds (Fundacao para a Ciencia e Tecnologia) through project PTDC/NAN-MAT/29248/2017. A L S Guimaraes acknowledges support from CNPq. C Herteliu was partially supported by a grant co-funded by FEDER through Operational Competitiveness Program (project ID P_40_382). P Hoogar acknowledges Centre for Bio Cultural Studies, Directorate of Research, Manipal Academy of Higher Education and Centre for Holistic Development and Research, Kalaghatagi. F N Hugo acknowledges the Visiting Professorship, PRINT Program, CAPES Foundation, Brazil. B-F Hwang was supported by China Medical University (CMU107-Z-04), Taichung, Taiwan. S M S Islam was funded by a National Heart Foundation Senior Research Fellowship and supported by Deakin University. R Q Ivers was supported by a research fellowship from the National Health and Medical Research Council of Australia. M Jakovljevic acknowledges the Serbian part of this GBD-related contribution was co-funded through Grant OI175014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. P Jeemon was supported by a Clinical and Public Health intermediate fellowship (grant number IA/CPHI/14/1/501497) from the Wellcome Trust-Department of Biotechnology, India Alliance (2015-20). O John is a recipient of UIPA scholarship from University of New South Wales, Sydney. S V Katikireddi acknowledges funding from a NRS Senior Clinical Fellowship (SCAF/15/02), the Medical Research Council (MC_UU_12017/13, MC_UU_12017/15), and the Scottish Government Chief Scientist Office (SPHSU13, SPHSU15). C Kieling is a CNPq researcher and a UK Academy of Medical Sciences Newton Advanced Fellow. Y J Kim was supported by Research Management Office, Xiamen University Malaysia (XMUMRF/2018-C2/ITCM/00010). K Krishan is supported by UGC Centre of Advanced Study awarded to the Department of Anthropology, Panjab University, Chandigarh, India. M Kumar was supported by K43 TW 010716 FIC/NIMH. B Lacey acknowledges support from the NIHR Oxford Biomedical Research Centre and the BHF Centre of Research Excellence, Oxford. J V Lazarus was supported by a Spanish Ministry of Science, Innovation and Universities Miguel Servet grant (Instituto de Salud Carlos III [ISCIII]/ESF, the EU [CP18/00074]). K J Looker thanks the NIHR Health Protection Research Unit in Evaluation of Interventions at the University of Bristol, in partnership with Public Health England, for research support. S Lorkowski was funded by the German Federal Ministry of Education and Research (nutriCARD, grant agreement number 01EA1808A). R A Lyons is supported by Health Data Research UK (HDR-9006), which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, NIHR (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome Trust. J J McGrath is supported by the Danish National Research Foundation (Niels Bohr Professorship), and the Queensland Health Department (via West Moreton HHS). P T N Memiah acknowledges support from CODESRIA. U O Mueller gratefully acknowledges funding by the German National Cohort Study BMBF grant number 01ER1801D. S Nomura acknowledges the Ministry of Education, Culture, Sports, Science, and Technology of Japan (18K10082). A Ortiz was supported by ISCIII PI19/00815, DTS18/00032, ISCIII-RETIC REDinREN RD016/0009 Fondos FEDER, FRIAT, Comunidad de Madrid B2017/BMD-3686 CIFRA2-CM. These funding sources had no role in the writing of the manuscript or the decision to submit it for publication. S B Patten was supported by the Cuthbertson & Fischer Chair in Pediatric Mental Health at the University of Calgary. G C Patton was supported by an aNHMRC Senior Principal Research Fellowship. M R Phillips was supported in part by the National Natural Science Foundation of China (NSFC, number 81371502 and 81761128031). A Raggi, D Sattin, and S Schiavolin were supported by grants from the Italian Ministry of Health (Ricerca Corrente, Fondazione Istituto Neurologico C Besta, Linea 4-Outcome Research: dagli Indicatori alle Raccomandazioni Cliniche). P Rathi and B Unnikrishnan acknowledge Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal. A L P Ribeiro was supported by Brazilian National Research Council, CNPq, and the Minas Gerais State Research Agency, FAPEMIG. D C Ribeiro was supported by The Sir Charles Hercus Health Research Fellowship (#18/111) Health Research Council of New Zealand. D Ribeiro acknowledges financial support from the EU (FEDER funds through the Operational Competitiveness Program; POCI-01-0145-FEDER-029253). P S Sachdev acknowledges funding from the NHMRC of Australia Program Grant. A M Samy was supported by a fellowship from the Egyptian Fulbright Mission Program. M M Santric-Milicevic acknowledges the Ministry of Education, Science and Technological Development of the Republic of Serbia (contract number 175087). R Sarmiento-Suarez received institutional support from Applied and Environmental Sciences University (Bogota, Colombia) and ISCIII (Madrid, Spain). A E Schutte received support from the South African National Research Foundation SARChI Initiative (GUN 86895) and Medical Research Council. S T S Skou is currently funded by a grant from Region Zealand (Exercise First) and a grant from the European Research Council under the EU's Horizon 2020 research and innovation program (grant agreement number 801790). J B Soriano is funded by Centro de Investigacion en Red de Enfermedades Respiratorias, ISCIII. R Tabares-Seisdedos was supported in part by the national grant PI17/00719 from ISCIII-FEDER. N Taveira was partially supported by the European & Developing Countries Clinical Trials Partnership, the EU (LIFE project, reference RIA2016MC-1615). S Tyrovolas was supported by the Foundation for Education and European Culture, the Sara Borrell postdoctoral programme (reference number CD15/00019 from ISCIII-FEDER). S B Zaman received a scholarship from the Australian Government research training programme in support of his academic career., "Peer Reviewed"
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- 2020
34. Analytical Characterisation of Original Emulsion for Cosmetic Use
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Gabriela Stanciu, Adina-Ioana Oancea, Elisabeta Chirila, and Elena Oancea
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Process equipment ,business.industry ,Materials Science (miscellaneous) ,Process Chemistry and Technology ,fungi ,General Engineering ,food and beverages ,General Chemistry ,General Medicine ,General Biochemistry, Genetics and Molecular Biology ,Petrochemistry ,Emulsion ,Materials Chemistry ,General Pharmacology, Toxicology and Pharmaceutics ,Process engineering ,business - Abstract
The aim of the paper is to characterize an original emulsion containing a mixture of plant macerates and essences. Next the wild and/or garden plants, namely Abies sp. (leaves), Crataegus monogyna (flowers), Hypericum perforatum (flowers), Lavandula angustifolia (flowers), Lavandula officinalis (flowers), Lilium sp. (flowers), Melissa officinalis (flowers), Mentha silvestris (leaves and flowers), Mentha piperita (leaves and flowers), Origanum vulgare (leaf blooms and flowers), Pinus silvestris (buds), Populus nigra (buds) and Thymus serpillum (flowers) have been processed to prepare the studied emulsion. Some of the emulsion ingredients as the essential oils of single plant and plant mixture, or the lily flowers macerate together with the final product have been analyzed. The measurements of physical and chemical properties (refractive index, density, pH, oxidation-reduction potential, acidity index, peroxide index and iodine index) led to interesting results that could explain the curative effects on skin. The beneficial effects of new emulsion are due to the bioactive compounds that penetrate deep into the tissue and ensure regeneration. The obtained results confirm our previous findings concerning the opportunity of measurements of oxidation/reduction potentials for cosmetic mixtures regarding the antioxidant activity description.
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- 2019
35. The psychiatric impact of coronavirus infection in the population
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Maria Magdalena Leon-Constantin, Florin Mitu, Andra Oancea, Alexandra Maștaleru, Ovidiu Mitu, Irina Mihaela Abdulan, and Madalina Zota
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education.field_of_study ,business.industry ,Population ,Medicine ,General Materials Science ,business ,education ,medicine.disease_cause ,Virology ,Coronavirus - Published
- 2020
36. Comparative Study on the Efficiency of Some Common Compounds Used in Controlling Dental Hypersensitivity in Noncarious Cervical Injuries
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Corina Marilena Cristache, Elena-Cristina Marcov, Gabriela Tanase, Madalina Violeta Perieanu, Camelia Ionescu, Iuliana Babiuc, Irina Donciu, Radu Costea, Claudia-Camelia Burcea, Irina Adriana Beuran, Viorel Stefan Perieanu, Mihai Burlibasa, Luminiţa Oancea, Mădălina Adriana Maliţa, and Ileana Ionescu
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stomatognathic system ,business.industry ,Dentistry ,Medicine ,General Medicine ,business - Abstract
In general, the treatment of dentin hyperesthesia can be performed either at home or in the dentist’s office. The therapeutic approach aims at the use of products, which decrease the excitability of pulp nociceptors or reduce the permeability of the dentin canals. The purpose of this study is to compare the efficiency in the treatment of dentin hyperesthesia of a product containing potassium nitrate, compared to another product using Recaldent™ Technology. The results of this study indicated a significant decrease in pain sensitivity both after application of the product using Recaldent™ Technology and after the product containing potassium nitrate, the results being slightly in favour of the first product.
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- 2020
37. Bronchoalveolar lavage: role in the evaluation of pulmonary interstitial disease
- Author
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Camelia Pescaru, Cristian Oancea, Emanuela Tudorache, Stanca-Patricia Hogea, and Monica Marc
- Subjects
Pulmonary and Respiratory Medicine ,Pathology ,medicine.medical_specialty ,Bronchoalveolar Lavage ,Diagnosis, Differential ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Immunology and Allergy ,030212 general & internal medicine ,Connective Tissue Diseases ,Lung ,medicine.diagnostic_test ,business.industry ,fungi ,Public Health, Environmental and Occupational Health ,Interstitial lung disease ,food and beverages ,Pneumonia ,respiratory system ,medicine.disease ,respiratory tract diseases ,medicine.anatomical_structure ,Bronchoalveolar lavage ,030228 respiratory system ,Sarcoidosis ,Lung Diseases, Interstitial ,Pulmonary alveolar proteinosis ,business ,Bronchoalveolar Lavage Fluid ,Interstitial Disease ,Hypersensitivity pneumonitis - Abstract
Bronchoalveolar lavage (BAL), a noninvasive, well-tolerated procedure is an important diagnostic tool that can facilitate the diagnosis of various lung diseases. This procedure allows the assessment of large alveolar compartments, by providing cells as well as non-cellular constituents from the lower respiratory tract. Alterations in BAL fluid and cells ratio reflects pathological changes in the lung parenchyma. In some cases, clinicians use BAL as a differential diagnosis guide for interstitial lung disease.In this review, we summarized the diagnostic criteria for BAL in interstitial lung diseases, pulmonary infections, lung cancer and other pathologies such as fat embolism, gastroesophageal reflux and collagen vascular disease. For this review, we have selected scientific papers published in the PubMed database in our area of interest. We aimed to highlight the usefulness of BAL in respiratory pathology.Although BAL fluid analyzes has an essential role in the diagnostic work-up of many lung pathologies, it should be performed in selected patients. For accurate results, the BAL technique is very important to be standardized.
- Published
- 2020
38. Chronic sinusitis and frontal sinocutaneous fistula: late complications after pterional craniotomy
- Author
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Dragos Octavian Palade, Gina Stegaru, Iustina Oancea, Silvian Vitoroi, Cristina Sochirca, and Mihail Dan Cobzeanu
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medicine.medical_specialty ,business.industry ,Fistula ,Pterional approach ,Chronic sinusitis ,General Medicine ,medicine.disease ,Surgery ,03 medical and health sciences ,0302 clinical medicine ,Otorhinolaryngology ,otorhinolaryngologic diseases ,medicine ,030223 otorhinolaryngology ,business ,030217 neurology & neurosurgery - Abstract
We sought to determine the clinical significance of delayed complications after different neurosurgical procedures, such as chronic sinusitis and frontocutaneus fistula. These can be managed by endoscopic closure or by external approach, depending on the cause and extent of sinusitis. We report a case of a 65-year-old woman who was presented to our ENT Department with a frontocutaneus fistula and was surgically managed.
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- 2020
39. Mind the knowledge gap
- Author
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Ana Oancea
- Subjects
Reinterpretation ,Visual Arts and Performing Arts ,business.industry ,Communication ,Internet privacy ,Sociology ,Android (operating system) ,business - Published
- 2020
40. Theoretical and practical aspects in the etiology, diagnostic and treatment in surrounding tissues of the dental implant affections: Peri-implantitis
- Author
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Madalina Malita, Viorel Stefan Perieanu, Magdalena Natalia Dina, Maria Glencora Costache, Gabriela Tanase, Gabriela Iorgulescu, Ioana Voinescu, Irina Adriana Beuran, Madalina Violeta Perieanu, Pharmacy, Bucharest, Romania, Liliana Burlibasa, Ilinca Ana Lazar, Mihai Burlibasa, Claudia-Camelia Burcea, Narcis Marcov, Elena-Cristina Marcov, Augustin Mihai, Luminita Oancea, and Ileana Ionescu
- Subjects
Medicine (General) ,Peri-implantitis ,business.industry ,medicine.medical_treatment ,implant-prosthetic rehabilitation ,Dentistry ,R5-920 ,Materials Chemistry ,Etiology ,oral implantology ,Medicine ,peri-implant diseases ,business ,Dental implant - Abstract
Introduction. Peri-implantitis is a non-specific inflammation, induced or maintained in the host tissues. Peri-implantitis usually presents a succession of specific symptoms, such as: bleeding on palpation, mobility of the dental implant, pain, increased depth of the pockets located around dental implants. Purpose. Thus, in this material we wanted to carry out a review of the main notions, both theoretical and practical, which characterize the diseases of surrounding tissues of dental implant called peri-implantitis. Material and method. For this study, we used 31 practitioners from Bucharest who frequently perform implant-prosthetic rehabilitation treatments, based on a questionnaire consisting of 6 questions. Results and discussions. The doctors included in the study showed that they have a thorough training in the field of implant-prosthetic restorations and of course in the diagnosis and treatment of peri-implantitis. Conclusions. In-depth knowledge of the notions related to peri-implantitis leads to an early diagnosis, favoring the rapid application of a treatment that prevents the occurrence of subsequent complications.
- Published
- 2020
41. The therapeutic behavior of the dentist in patients with atherosclerosis – theoretical and practical aspects
- Author
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Narcis Marcov, Elena-Cristina Marcov, Liliana Burlibasa, Octavian Dumitru Zara, Mihai Burlibasa, Claudia-Camelia Burcea, Irina Adriana Beuran, Dumitru Ferechide, Gabriela Iorgulescu, Luminița Oancea, Mădălina Malița, Pharmacy, Bucharest, Romania, Ioana Voinescu, Ileana Ionescu, Viorel Stefan Perieanu, Magdalena Natalia Dina, Maria Glencora Costache, and Madalina Violeta Perieanu
- Subjects
Medicine (General) ,medicine.medical_specialty ,business.industry ,General Medicine ,R5-920 ,dental treatment ,medicine ,Medicine ,In patient ,atherosclerosis ,Intensive care medicine ,business ,periodontitis - Abstract
Introduction. Atherosclerosis represents the process of stiffening of the arterial wall and includes arterial changes secondary to atherosclerosis, as well as physiological changes, reducing vascular elasticity in the elderly. However, the importance of knowing the pathology of atherosclerosis is mandatory among dentists, given the high frequency of patients with atherosclerotic lesions. Purpose. Through this study we tried to familiarize dentists on the therapeutic behavior towards patients with atherosclerosis but also the risks arising from it. Material and method. 87 practitioners from Romania helped to carry out this study between September and November 2018. Results and discussions. A clear picture emerged regarding the changes and manifestations in patients with atherosclerosis by dental practitioners as well as the attitude to be adopted in the case of treatments for such patients. Conclusions. Knowing the pathology of patients at cardiovascular risk as well as the therapy to be applied for them, is a must for dentists given the growing number of patients and the pathology with different stages of evolution.
- Published
- 2020
42. Deep learning in interstitial lung disease—how long until daily practice
- Author
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Cristian Oancea, Ana Adriana Trusculescu, Emanuela Tudorache, and Diana Manolescu
- Subjects
medicine.medical_specialty ,Interstitial lung disease ,Idiopathic pulmonary fibrosis ,Disease ,Pattern Recognition, Automated ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Fibrosis ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Diagnosis, Computer-Assisted ,Intensive care medicine ,Lung ,Pathological ,Neuroradiology ,Inflammation ,medicine.diagnostic_test ,business.industry ,Reproducibility of Results ,Deep learning ,Interventional radiology ,General Medicine ,respiratory system ,medicine.disease ,medicine.anatomical_structure ,Imaging Informatics and Artificial Intelligence ,030228 respiratory system ,Neural Networks, Computer ,Radiology ,Lung Diseases, Interstitial ,Tomography, X-Ray Computed ,business ,Algorithms - Abstract
Interstitial lung diseases are a diverse group of disorders that involve inflammation and fibrosis of interstitium, with clinical, radiological, and pathological overlapping features. These are an important cause of morbidity and mortality among lung diseases. This review describes computer-aided diagnosis systems centered on deep learning approaches that improve the diagnostic of interstitial lung diseases. We highlighted the challenges and the implementation of important daily practice, especially in the early diagnosis of idiopathic pulmonary fibrosis (IPF). Developing a convolutional neuronal network (CNN) that could be deployed on any computer station and be accessible to non-academic centers is the next frontier that needs to be crossed. In the future, early diagnosis of IPF should be possible. CNN might not only spare the human resources but also will reduce the costs spent on all the social and healthcare aspects of this deadly disease.Key Points• Deep learning algorithms are used in pattern recognition of different interstitial lung diseases.• High-resolution computed tomography plays a central role in the diagnosis and in the management of all interstitial lung diseases, especially fibrotic lung disease.• Developing an accessible algorithm that could be deployed on any computer station and be used in non-academic centers is the next frontier in the early diagnosis of idiopathic pulmonary fibrosis.
- Published
- 2020
43. General and particular aspects regarding conceiving and manufacturing fixed implant-supported prosthetic restorations
- Author
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Florentina Radu, Cristina Nicoleta Mihai, Sorin Nicolae Popescu, Luminita Oancea, Ileana Ionescu, Camelia Ionescu, Gabriel Ciochinda, Madalina Violeta Perieanu, Mirel Toma, Irina Adriana Beuran, Oana-Cella Andrei, Viorel Stefan Perieanu, Liliana Burlibasa, Pharmacy, Bucharest, Romania, Mihai David, Corina Marilena Cristache, Gabriela Iorgulescu, and Mihai Burlibasa
- Subjects
Engineering ,Medicine (General) ,R5-920 ,business.industry ,fixed implant-prosthetic restorations ,dental implants ,Dentistry ,Medicine ,dental occlusion ,General Medicine ,business ,Implant supported - Abstract
Introduction. In general, implant-prosthetic restorations, whether they are fixed or mobile, and regardless of their location (maxillary or mandibular), imply slightly different design and conceiving criteria, compared to the conventional prosthetic restorations already known. Purpose. In this material we tried to present some general and particular aspects regarding the design and manufacture of fixed implant-prosthetic restorations. Material and method. The study took place between September and December 2019 with the help of 31 dentists from Bucharest. Results and discussions. Following the application of the questionnaire, we were able to outline some aspects, frequently encountered in practice, by dentists who perform implant-prosthetic restorations related to occlusal balancing and the forces that appear at the level of implant restorations. Conclusions. The correct analysis and evaluation of the occlusal contacts and forces, leads to an increase in the life expectancy of prosthetic work as well as of their support (dental or implant).
- Published
- 2020
44. Optimizing airline fare structures
- Author
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Octavian Oancea
- Subjects
Structure (mathematical logic) ,Fence (finance) ,Economics and Econometrics ,Revenue management ,business.industry ,Strategy and Management ,05 social sciences ,Entry Level ,Distribution (economics) ,Context (language use) ,Field (computer science) ,0502 economics and business ,050211 marketing ,Business ,Business and International Management ,050212 sport, leisure & tourism ,Finance ,Industrial organization - Abstract
Optimizing an airline’s fare structure has always been reliant on the expertise and market awareness of its Pricing professionals. Whether in the traditional airline world—with restrictions aiming to “fence” high-yield customer segments from the leisure ones, in the low-cost carrier competitive world with more simplified fare structures, or in the new world of dynamic offer generation and continuous pricing, how to establish the entry level price and all other prices, as well as the appropriate conditions associated to a price remains a challenge for any airline Pricing department. In this article we explore some of the common airline practices for determining fare levels and fare rules, as well as what the future holds for this field in the context of IATA New Distribution Capability, where offers will be generated dynamically, pricing could be continuous and traditional booking classes might not exist.
- Published
- 2020
45. Strategies to improve activity and results of the head and neck tumor board
- Author
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Felicia Manole, Bogdan Popescu, Maria Domuta, Serban Bertesteanu, Pharmacy, Bucharest, Romania, Irina Doinița Oașă, Alina Lavinia Antoaneta Oancea, and Cristian Balalau
- Subjects
medicine.medical_specialty ,business.industry ,lcsh:R ,lcsh:Medicine ,molecular tumor boards ,solid tumors ,optimal cancer therapy ,head and neck ,medicine ,Tumor board ,Radiology ,Head and neck ,business ,database - Abstract
Solid tumors represent chronic disease that can be rarely detected, diagnosed and treated without the use of a multidisciplinary team. When a neoplastic disease is initially evaluated, involvement of a single physician does not seem to be sufficient to establish diagnosis and staging. Assessment of each individual case of malignancy is the main purpose of the entire medical staff engaged in treating cancer patients. In Romania, the use of oncology committee with a multidisciplinary form of organization has been set to work in Bucharest and Cluj-Napoca, since the beginning of 1978 under direct supervision of professors Alexandru Trestioreanu and Ion Chiricuță. The joint session of the tumor board resides into establishing the optimal oncology therapy for each patient. The task of informing the patient about the decision is performed by the physician that is overseeing the patients’ evolution. There is no mandatory oncology therapy action from behalf of the physician after the decision of the tumor board was made. However, it is more likely for head and neck cancer patients to receive better, more accurate staging, as well as optimal oncology therapy in a local or academic hospital tumor board setup.
- Published
- 2020
46. Emergency tracheostomy protocols in Coltea Clinical Hospital in patients with SARS-CoV-2 infection
- Author
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Bogdan Popescu, Alina Lavinia Antoaneta Oancea, Pharmacy, Bucharest, Romania, Felicia Manole, Cristian Balalau, Razvan V. Scaunasu, Maria Domuta, Irina Doinița Oașă, and Serban Bertesteanu
- Subjects
Emergency tracheostomy ,medicine.medical_specialty ,aerosol ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,lcsh:R ,lcsh:Medicine ,upper respiratory tract ,surgery ,covid-19 ,Emergency medicine ,Medicine ,In patient ,business - Abstract
Since the outbreak of the COVID-19 pandemic in December 2019 there has been an array have studies regarding otolaryngologist and head and neck surgeons considering the exceptionally high risk of exposure. The purpose of this article is to evaluate the current practice in an oncology ENT Department, which ensures health care services for upper aero digestive tract cancer patients. It is of outmost importance that all the health care providers are aware of good clinical practice recommendations and training, according to the current guidelines that needs to be performed as often as possible, so that the implementation of the institution specific guidelines to be optimal. Performing a tracheostomy for an ENT emergency in a patient with suspected or confirmed COVID-19 disease requires preparation from the health care provider so, after reviewing the international literature, we have elaborated a protocol and guidelines in Colțea Clinical Hospital to ensure the possibility of performing emergency surgical interventions for oncology patients. Testing for SARS-CoV-2 is mandatory prior to surgery since opening the trachea and operating on the upper respiratory tract leads to aerosol particles that can infect the surrounding environment and health care providers. Limitations are predictable as long as health care systems are being under tremendous pressure from the general condition and by patients with life threatening disease.
- Published
- 2020
47. Composite Automobile Fender Impact Testing with a Spherical Ball
- Author
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Gheorghe Oancea, Adrian Soica, Cristin-Olimpiu Morariu, and Emilian-Ionut Croitoru
- Subjects
Impact testing ,Materials science ,Polymers and Plastics ,Mechanics of Materials ,business.industry ,Composite number ,Materials Chemistry ,Fender ,Ball (bearing) ,General Chemistry ,Structural engineering ,business - Abstract
The research carried out within this paper addresses the issue of impact analysis with a spherical ball of an automobile fender, following two directions: the finite element method modeling of named part and situation, and experimental validation of the study mentioned beforehand. The part itself - car fender - is represented by a thermoset composite panel armed with Kevlar-Carbon fibers, while the analyzed situation is depicted as a Charpy/Izod test with a spherical ball on the specified component. The evaluation of named inquiry is performed in a virtual environment by means of FEA and verified accordingly within laboratory testing.
- Published
- 2020
48. The therapeutic approach of the odontal pathology of the temporary teeth – theoretical and practical aspects
- Author
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Olivia Popoviciu, Mirel Toma, Luminita Oancea, Ileana Ionescu, Madalina Violeta Perieanu, Florentina Radu, Sorin Nicolae Popescu, Corina Marilena Cristache, Cristina Nicoleta Mihai, Viorel Stefan Perieanu, Magdalena Natalia Dina, Mihaela Păuna, Gabriel Ciochinda, Raluca Costea, Rodica Luca, Liliana Burlibasa, and Pharmacy, Bucharest, Romania
- Subjects
Medicine (General) ,medicine.medical_specialty ,business.industry ,General Medicine ,stomatognathic diseases ,Therapeutic approach ,R5-920 ,pulpal complications ,dental pathology ,Medicine ,temporary dentition ,business ,Intensive care medicine - Abstract
Introduction. In the growing process of each individual, there are 4 essential stages that must be very well known by the pediatric dentist, when intervening on these changes: the stage named the age immediately after birth; pre-school age; the stage of mixed dentition and the age period after 12 years. Purpose. Starting from the existence of these 4 stages of the growing process of each individual, in this material we tried a brief presentation of some aspects, both theoretical and practical, regarding the therapeutic approach in the dental pathology of the temporary teeth. Material and method. The study was conducted through the collaboration of 35 dentists from all over the country based on a questionnaire consisting of 6 questions. Result and discussion. Following the application of the questionnaire we were able to create an image of the way in which the dental pathology of the permanent teeth is therapeutically approached by the practitioners included in the study. Conclusion. Dental lesions in the temporary dentition should be evaluated and treated with great care, to prevent the medium and long term complications of permanent dentition.
- Published
- 2020
49. MALIGNANT TUMORS OF ORAL CAVITY IN CHILDREN: CASES PRESENTATION
- Author
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Denisa Mitran, Bogdan Popescu, Roxana G. Androne, Pharmacy, Bucharest, Romania, Claudiu Curca, Elena Arjoca, and Alina Lavinia Antoaneta Oancea
- Subjects
medicine.medical_specialty ,lcsh:R5-920 ,business.industry ,surgical treatment ,lcsh:R ,lcsh:Medicine ,General Medicine ,Oral cavity ,pelvilingual cancer ,Medicine ,Radiology ,Presentation (obstetrics) ,business ,pediatric age ,lcsh:Medicine (General) - Abstract
Introduction. Squamous cell carcinoma of the tongue is a very rare disease among children, with only a few cases reported in the literature. The tongue is the most common site for oral malignancy. The main contributing factors to pelvilingual cancer are constant irritants of the oral mucosa, such as tobacco, alcohol, and dentures. In children, however, the risk factors are immunosuppression induced by a hemopathy such as Fanconi anemia or by chemotherapy, Xeroderma Pigmentosum Syndrome or KID (keratitis, ichthyosis, deafness), Plummer-Vinson syndrome. Cases presentations. The authors present two cases of children, 12 and 15 years old, diagnosed with pelvilingual malignant neoplasia, for which review of the clinical manifestations, the methods of diagnosis and treatment used, but also the evolution will be described. Conclusions. Clinical symptoms of tongue cancer are similar to other types of neoplastic diseases developed in the oral cavity (for example oral floor neoplasm). Confirmation of the diagnosis is made by histopathological examination of the tissue specimen obtained from the tumor site. Therapy has a complex multimodal approach and includes, depending on staging, general condition, and the patient’s option, primary and adjuvant methods. Surgery followed by radio-, chemo-, immunotherapy are the preferred methods. Another possibility is tumor stage conversion by radio-, chemo- and immunotherapeutic treatment, followed by surgery. In some cases, surgery is an ultimate method of therapy, a salvage therapy.
- Published
- 2020
50. THE QUALITY OF LIFE IN PATIENTS WITH TOTAL LARYNGECTOMY
- Author
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Teodora Diaconu, Liliana Nitu, Bogdan Popescu, Gloria Munteanu, Mihnea Condeescu, Roxana G. Androne, Simona Rujan, Denisa Mitran, Amer Othman, Anca Cirstea, Paula Bejenaru, Elena Arjoca, Catrinel B. Simion-Antonie, Ruxandra Nedelcu, Teodora Popa, Raluca Grigore, Alexandru Nicolaescu, Alina Lavinia Antoaneta Oancea, Serban Bertesteanu, Alisa Dimcea, Pharmacy, Bucharest, Romania, Bianca Taher, Luiza Sireteanu, and Claudia Curca
- Subjects
medicine.medical_specialty ,lcsh:R5-920 ,business.industry ,General surgery ,medicine.medical_treatment ,lcsh:R ,lcsh:Medicine ,total laryngectomy ,General Medicine ,Laryngectomy ,voice rehabilitation ,quality of life ,Medicine ,In patient ,business ,lcsh:Medicine (General) - Abstract
Introduction. The quality of life of patients after total laryngectomy is influenced by both the disease and the radical therapeutic interventions. After surgical treatment, vocal rehabilitation, along with pulmonary and deglutition rehabilitation, are necessary. The objective of the study was to assess the quality of life in patients with total laryngectomy. Materials and methods. A questionnaire with 14 questions was randomly addressed to 100 patients with total laryngectomy who presented to Coltea Clinical Hospital, Bucharest, Romania, over a period of three months. Results. Fifty patients answered that they had no pain. Regarding everyday activities, 34 patients answered that they were as active as before surgery. Regarding their appearance, 50 patients answered that there is no change, or the change is minor, while 39 answered that their appearance bothers them, but they remain active, and 5 answered that they feel disfigured and limit their activity, while 6 patients answered that they cannot be with other people because of their aspect. 34 patients answered that they could swallow as well as prior to surgery, other 34 patients answered that they cannot swallow certain foods, while 21 answered that they only swallow liquid food or are dependent on a feeding tube. Regarding everyday activity, 67 patients answered there are times when they cannot keep up with their old pace, but they get out of the house and enjoy life. About their mood, 38 patients answered that they were not in a good mood, nor depressed, while 36 said their mood is generally good and only occasionally affected by cancer. Six patients answered that their mood is excellent, while 15 patients were somewhat depressed and 5 were extremely depressed. Conclusions. The quality of life is influenced by the patients’ appearance after total laryngectomy, and their ability to maintain everyday activities. Swallowing, taste and saliva quality have a great impact on the quality of life of patients with total laryngectomy and also influence their nutritional status.
- Published
- 2020
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