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1. Measuring health expectancy in the European Union

Author: Santos, JV, primary, Viana, J, additional, Devleesschauwer, B, additional, Haagsma, JA, additional, Costa Santos, C, additional, Ricciardi, W, additional, and Freitas, A, additional
Published: 2022
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2. What does it mean to age in good health? An analysis of Time Use Survey data

Author: Santos, JV, primary and Cylus, J, additional
Published: 2021
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3. Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050

Author: Micah, AE, Cogswell, IE, Cunningham, B, Ezoe, S, Harle, AC, Maddison, ER, McCracken, D, Nomura, S, Simpson, KE, Stutzman, HN, Tsakalos, G, Wallace, LE, Zhao, Y, Zende, RR, Abbafati, C, Abdelmasseh, M, Abedi, A, Abegaz, KH, Abhilash, ES, Abolhassani, H, Abrigo, MRM, Adhikari, TB, Afzal, S, Ahinkorah, BO, Ahmadi, S, Ahmed, H, Ahmed, MB, Rashid, TA, Ajami, M, Aji, B, Akalu, Y, Akunna, CJ, Al Hamad, H, Alam, K, Alanezi, FM, Alanzi, TM, Alemayehu, Y, Alhassan, RK, Alinia, C, Aljunid, SM, Almustanyir, SA, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amini, S, Amini-Rarani, M, Amu, H, Ancuceanu, R, Andrei, CL, Andrei, T, Angell, B, Anjomshoa, M, Antonio, CAT, Antony, CM, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arrigo, A, Ashraf, T, Atnafu, DD, Ausloos, M, Avila-Burgos, L, Awan, AT, Ayano, G, Ayanore, MA, Azari, S, Azhar, GS, Babalola, TK, Bahrami, MA, Baig, AA, Banach, M, Barati, N, Barnighausen, TW, Barrow, A, Basu, S, Baune, BT, Bayati, M, Benzian, H, Berman, AE, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bibi, S, Bijani, A, Bodolica, V, Bragazzi, NL, Braithwaite, D, Breitborde, NJK, Breusov, AV, Briko, NI, Busse, R, Cahuana-Hurtado, L, Callander, EJ, Camera, LA, Castaneda-Orjuela, CA, Catala-Lopez, F, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chen, S, Cicero, AFG, Dadras, O, Dahlawi, SMA, Dai, X, Dalal, K, Dandona, L, Dandona, R, Davitoiu, DV, De Neve, J-W, de Sa-Junior, AR, Denova-Gutierrez, E, Dhamnetiya, D, Dharmaratne, SD, Doshmangir, L, Dube, J, Ehsani-Chimeh, E, Zaki, MES, El Tantawi, M, Eskandarieh, S, Farzadfar, F, Ferede, TY, Fischer, F, Foigt, NA, Freitas, A, Friedman, SD, Fukumoto, T, Fullman, N, Gaal, PA, Gad, MM, Garcia-Gordillo, MA, Garg, T, Ghafourifard, M, Ghashghaee, A, Gholamian, A, Gholamrezanezhad, A, Ghozali, G, Gilani, SA, Glavan, I-R, Glushkova, EV, Goharinezhad, S, Golechha, M, Goli, S, Guha, A, Gupta, VB, Gupta, VK, Haakenstad, A, Haider, MR, Hailu, A, Hamidi, S, Hanif, A, Harapan, H, Hartono, RK, Hasaballah, AI, Hassan, S, Hassanein, MH, Hayat, K, Hegazy, MI, Heidari, G, Hendrie, D, Heredia-Pi, I, Herteliu, C, Hezam, K, Holla, R, Hossain, SJ, Hosseinzadeh, M, Hostiuc, S, Huda, TM, Hwang, B-F, Iavicoli, I, Idrisov, B, Ilesanmi, OS, Irvani, SSN, Islam, SMS, Ismail, NE, Isola, G, Jahani, MA, Jahanmehr, N, Jakovljevic, M, Janodia, MD, Javaheri, T, Jayapal, SK, Jayawardena, R, Jazayeri, SB, Jha, RP, Jonas, JB, Joo, T, Joukar, F, Jurisson, M, Kaambwa, B, Kalhor, R, Kanchan, T, Kandel, H, Matin, BK, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Keikavoosi-Arani, L, Khader, YS, Khajuria, H, Khalilov, R, Khammarnia, M, Khan, J, Khubchandani, J, Kianipour, N, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kohler, S, Kosen, S, Koteeswaran, R, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kumar, GA, Kusuma, D, Lamnisos, D, Lansingh, VC, Larsson, AO, Lasrado, S, Le, LKD, Lee, SWH, Lee, YY, Lim, SS, Lobo, SW, Lozano, R, Abd El Razek, HM, Abd El Razek, MM, Mahdavi, MM, Majeed, A, Makki, A, Maleki, A, Malekzadeh, R, Manda, AL, Mansour-Ghanaei, F, Mansournia, MA, Arnedo, CAM, Martinez-Valle, A, Masoumi, SZ, Maude, RJ, Mckee, M, Medina-Solis, CE, Menezes, RG, Meretoja, A, Meretoja, TJ, Mesregah, MK, Mestrovic, T, Kostova, NM, Miller, TR, Mini, GK, Mirica, A, Mirrakhimov, EM, Mohajer, B, Mohamed, TA, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammed, S, Moitra, M, Mokdad, AH, Molokhia, M, Moni, MA, Moradi, Y, Morze, J, Mousavi, SM, Mpundu-Kaambwa, C, Muriithi, MK, Muthupandian, S, Nagarajan, AJ, Naimzada, MD, Nangia, V, Naqvi, AA, Narayana, AI, Nascimento, BR, Naveed, M, Nayak, BP, Nazari, J, Ndejjo, R, Negoi, I, Kandel, SN, Trang, HN, Nonvignon, J, Noubiap, JJ, Nwatah, VE, Oancea, B, Ojelabi, FAO, Olagunju, AT, Olakunde, BO, Olgiati, S, Olusanya, JO, Onwujekwe, OE, Otoiu, A, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Padubidri, JR, Palladino, R, Panda-Jonas, S, Park, E-C, Kan, FP, Pawar, S, Toroudi, HP, Pereira, DM, Perianayagam, A, Pesudovs, K, Piccinelli, C, Postma, MJ, Prada, SI, Rabiee, M, Rabiee, N, Rahim, F, Rahimi-Movaghar, V, Rahman, MHU, Rahman, M, Rahmani, AM, Ram, U, Ranabhat, CL, Ranasinghe, P, Rao, CR, Rathi, P, Rawaf, DL, Rawaf, S, Rawal, L, Rawassizadeh, R, Reiner, RC, Renzaho, AMN, Reshmi, B, Riaz, MA, Ripon, RK, Saad, AM, Sahraian, MA, Sahu, M, Salama, JS, Salehi, S, Samy, AM, Sanabria, J, Sanmarchi, F, Santos, JV, Santric-Milicevic, MM, Sathian, B, Savic, M, Saxena, D, Sayyah, M, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Seylani, A, Shahabi, S, Shaikh, MA, Sheikh, A, Shetty, A, Shetty, PH, Shibuya, K, Shrime, MG, Shuja, KH, Singh, JA, Skryabin, VY, Skryabina, AA, Soltani, S, Soofi, M, Spurlock, EE, Stefan, SC, Szerencses, V, Szocska, M, Tabares-Seisdedos, R, Taddele, BW, Tefera, YG, Thavamani, A, Tobe-Gai, R, Topor-Madry, R, Tovani-Palone, MR, Bach, XT, Car, LT, Ullah, A, Ullah, S, Umar, N, Undurraga, EA, Valdez, PR, Vasankari, TJ, Villafane, JH, Violante, FS, Vlassov, V, Bay, V, Vollmer, S, Theo, V, Giang, TV, Linh, GV, Wamai, RG, Werdecker, A, Woldekidan, MA, Wubishet, BL, Xu, G, Yaya, S, Yazdi-Feyzabadi, V, Yigit, V, Yip, P, Yirdaw, BW, Yonemoto, N, Younis, MZ, Yu, C, Yunusa, I, Moghadam, TZ, Zandian, H, Zastrozhin, MS, Zastrozhina, A, Zhang, Z-J, Ziapour, A, Zuniga, YMH, Hay, SI, Murray, CJL, Dieleman, JL, Micah, AE, Cogswell, IE, Cunningham, B, Ezoe, S, Harle, AC, Maddison, ER, McCracken, D, Nomura, S, Simpson, KE, Stutzman, HN, Tsakalos, G, Wallace, LE, Zhao, Y, Zende, RR, Abbafati, C, Abdelmasseh, M, Abedi, A, Abegaz, KH, Abhilash, ES, Abolhassani, H, Abrigo, MRM, Adhikari, TB, Afzal, S, Ahinkorah, BO, Ahmadi, S, Ahmed, H, Ahmed, MB, Rashid, TA, Ajami, M, Aji, B, Akalu, Y, Akunna, CJ, Al Hamad, H, Alam, K, Alanezi, FM, Alanzi, TM, Alemayehu, Y, Alhassan, RK, Alinia, C, Aljunid, SM, Almustanyir, SA, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amini, S, Amini-Rarani, M, Amu, H, Ancuceanu, R, Andrei, CL, Andrei, T, Angell, B, Anjomshoa, M, Antonio, CAT, Antony, CM, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arrigo, A, Ashraf, T, Atnafu, DD, Ausloos, M, Avila-Burgos, L, Awan, AT, Ayano, G, Ayanore, MA, Azari, S, Azhar, GS, Babalola, TK, Bahrami, MA, Baig, AA, Banach, M, Barati, N, Barnighausen, TW, Barrow, A, Basu, S, Baune, BT, Bayati, M, Benzian, H, Berman, AE, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bibi, S, Bijani, A, Bodolica, V, Bragazzi, NL, Braithwaite, D, Breitborde, NJK, Breusov, AV, Briko, NI, Busse, R, Cahuana-Hurtado, L, Callander, EJ, Camera, LA, Castaneda-Orjuela, CA, Catala-Lopez, F, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chen, S, Cicero, AFG, Dadras, O, Dahlawi, SMA, Dai, X, Dalal, K, Dandona, L, Dandona, R, Davitoiu, DV, De Neve, J-W, de Sa-Junior, AR, Denova-Gutierrez, E, Dhamnetiya, D, Dharmaratne, SD, Doshmangir, L, Dube, J, Ehsani-Chimeh, E, Zaki, MES, El Tantawi, M, Eskandarieh, S, Farzadfar, F, Ferede, TY, Fischer, F, Foigt, NA, Freitas, A, Friedman, SD, Fukumoto, T, Fullman, N, Gaal, PA, Gad, MM, Garcia-Gordillo, MA, Garg, T, Ghafourifard, M, Ghashghaee, A, Gholamian, A, Gholamrezanezhad, A, Ghozali, G, Gilani, SA, Glavan, I-R, Glushkova, EV, Goharinezhad, S, Golechha, M, Goli, S, Guha, A, Gupta, VB, Gupta, VK, Haakenstad, A, Haider, MR, Hailu, A, Hamidi, S, Hanif, A, Harapan, H, Hartono, RK, Hasaballah, AI, Hassan, S, Hassanein, MH, Hayat, K, Hegazy, MI, Heidari, G, Hendrie, D, Heredia-Pi, I, Herteliu, C, Hezam, K, Holla, R, Hossain, SJ, Hosseinzadeh, M, Hostiuc, S, Huda, TM, Hwang, B-F, Iavicoli, I, Idrisov, B, Ilesanmi, OS, Irvani, SSN, Islam, SMS, Ismail, NE, Isola, G, Jahani, MA, Jahanmehr, N, Jakovljevic, M, Janodia, MD, Javaheri, T, Jayapal, SK, Jayawardena, R, Jazayeri, SB, Jha, RP, Jonas, JB, Joo, T, Joukar, F, Jurisson, M, Kaambwa, B, Kalhor, R, Kanchan, T, Kandel, H, Matin, BK, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Keikavoosi-Arani, L, Khader, YS, Khajuria, H, Khalilov, R, Khammarnia, M, Khan, J, Khubchandani, J, Kianipour, N, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kohler, S, Kosen, S, Koteeswaran, R, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kumar, GA, Kusuma, D, Lamnisos, D, Lansingh, VC, Larsson, AO, Lasrado, S, Le, LKD, Lee, SWH, Lee, YY, Lim, SS, Lobo, SW, Lozano, R, Abd El Razek, HM, Abd El Razek, MM, Mahdavi, MM, Majeed, A, Makki, A, Maleki, A, Malekzadeh, R, Manda, AL, Mansour-Ghanaei, F, Mansournia, MA, Arnedo, CAM, Martinez-Valle, A, Masoumi, SZ, Maude, RJ, Mckee, M, Medina-Solis, CE, Menezes, RG, Meretoja, A, Meretoja, TJ, Mesregah, MK, Mestrovic, T, Kostova, NM, Miller, TR, Mini, GK, Mirica, A, Mirrakhimov, EM, Mohajer, B, Mohamed, TA, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammed, S, Moitra, M, Mokdad, AH, Molokhia, M, Moni, MA, Moradi, Y, Morze, J, Mousavi, SM, Mpundu-Kaambwa, C, Muriithi, MK, Muthupandian, S, Nagarajan, AJ, Naimzada, MD, Nangia, V, Naqvi, AA, Narayana, AI, Nascimento, BR, Naveed, M, Nayak, BP, Nazari, J, Ndejjo, R, Negoi, I, Kandel, SN, Trang, HN, Nonvignon, J, Noubiap, JJ, Nwatah, VE, Oancea, B, Ojelabi, FAO, Olagunju, AT, Olakunde, BO, Olgiati, S, Olusanya, JO, Onwujekwe, OE, Otoiu, A, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Padubidri, JR, Palladino, R, Panda-Jonas, S, Park, E-C, Kan, FP, Pawar, S, Toroudi, HP, Pereira, DM, Perianayagam, A, Pesudovs, K, Piccinelli, C, Postma, MJ, Prada, SI, Rabiee, M, Rabiee, N, Rahim, F, Rahimi-Movaghar, V, Rahman, MHU, Rahman, M, Rahmani, AM, Ram, U, Ranabhat, CL, Ranasinghe, P, Rao, CR, Rathi, P, Rawaf, DL, Rawaf, S, Rawal, L, Rawassizadeh, R, Reiner, RC, Renzaho, AMN, Reshmi, B, Riaz, MA, Ripon, RK, Saad, AM, Sahraian, MA, Sahu, M, Salama, JS, Salehi, S, Samy, AM, Sanabria, J, Sanmarchi, F, Santos, JV, Santric-Milicevic, MM, Sathian, B, Savic, M, Saxena, D, Sayyah, M, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Seylani, A, Shahabi, S, Shaikh, MA, Sheikh, A, Shetty, A, Shetty, PH, Shibuya, K, Shrime, MG, Shuja, KH, Singh, JA, Skryabin, VY, Skryabina, AA, Soltani, S, Soofi, M, Spurlock, EE, Stefan, SC, Szerencses, V, Szocska, M, Tabares-Seisdedos, R, Taddele, BW, Tefera, YG, Thavamani, A, Tobe-Gai, R, Topor-Madry, R, Tovani-Palone, MR, Bach, XT, Car, LT, Ullah, A, Ullah, S, Umar, N, Undurraga, EA, Valdez, PR, Vasankari, TJ, Villafane, JH, Violante, FS, Vlassov, V, Bay, V, Vollmer, S, Theo, V, Giang, TV, Linh, GV, Wamai, RG, Werdecker, A, Woldekidan, MA, Wubishet, BL, Xu, G, Yaya, S, Yazdi-Feyzabadi, V, Yigit, V, Yip, P, Yirdaw, BW, Yonemoto, N, Younis, MZ, Yu, C, Yunusa, I, Moghadam, TZ, Zandian, H, Zastrozhin, MS, Zastrozhina, A, Zhang, Z-J, Ziapour, A, Zuniga, YMH, Hay, SI, Murray, CJL, and Dieleman, JL
Abstract: BACKGROUND: The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020. METHODS: We estimated domestic health spending and development assistance for health to generate total health-sector spending estimates for 204 countries and territories. We leveraged data from the WHO Global Health Expenditure Database to produce estimates of domestic health spending. To generate estimates for development assistance for health, we relied on project-level disbursement data from the major international development agencies' online databases and annual financial statements and reports for information on income sources. To adjust our estimates for 2020 to include disbursements related to COVID-19, we extracted project data on commitments and disbursements from a broader set of databases (because not all of the data sources used to estimate the historical series extend to 2020), including the UN Office of Humanitarian Assistance Financial Tracking Service and the International Aid Transparency Initiative. We reported all the historic and future spending estimates in inflation-adjusted 2020 US$, 2020 US$ per capita, purchasing-power parity-adjusted US$ per capita, and as a proportion of gross domestic product. We used various models to generate future health spending to 2050. FINDINGS: In 2019, health spending globally reached $8·8 trillion (95% uncertainty interval [UI] 8·7-8·8) or $1132 (1119-1143) per person. Spending on health varied within and across income groups and geographical regions. Of this t
Published: 2021

4. Health sector spending and spending on HIV/AIDS, tuberculosis, and malaria, and development assistance for health: progress towards Sustainable Development Goal 3

Author: Micah, AE, Su, Y, Bachmeier, SD, Chapin, A, Cogswell, IE, Crosby, SW, Cunningham, B, Harle, AC, Maddison, ER, Moitra, M, Sahu, M, Schneider, MT, Simpson, KE, Stutzman, HN, Tsakalos, G, Zende, RR, Zlavog, BS, Abbafati, C, Abebo, ZH, Abolhassani, H, Abrigo, MRM, Ahmed, MB, Akinyemi, RO, Alam, K, Ali, S, Alinia, C, Alipour, V, Aljunid, SM, Almasi, A, Alvis-Guzman, N, Ancuceanu, R, Andrei, T, Andrei, CL, Anjomshoa, M, Antonio, CAT, Arabloo, J, Arab-Zozani, M, Aremu, O, Atnafu, DD, Ausloos, M, Avila-Burgos, L, Ayanore, MA, Azari, S, Babalola, TK, Bagherzadeh, M, Baig, AA, Bakhtiari, A, Banach, M, Banerjee, SK, Barnighausen, TW, Basu, S, Baune, BT, Bayati, M, Berman, AE, Bhageerathy, R, Bhardwaj, P, Bohluli, M, Busse, R, Cahuana-Hurtado, L, Camera, LLAA, Castaneda-Orjuela, CA, Catala-Lopez, F, Cevik, M, Chattu, VK, Dandona, L, Dandona, R, Dianatinasab, M, Hoa, TD, Doshmangir, L, El Tantawi, M, Eskandarieh, S, Esmaeilzadeh, F, Faraj, A, Farzadfar, F, Fischer, F, Foigt, NA, Fullman, N, Gad, MM, Ghafourifard, M, Ghashghaee, A, Gholamian, A, Goharinezhad, S, Grada, A, Bidgoli, HH, Hamidi, S, Harb, HL, Hasanpoor, E, Hay, SI, Hendrie, D, Henry, NJ, Herteliu, C, Hole, MK, Hosseinzadeh, M, Hostiuc, S, Huda, TM, Humayun, A, Hwang, B-F, Ilesanmi, OS, Iqbal, U, Irvani, SS, Islam, SMS, Islam, MM, Jahani, MA, Jakovljevic, M, James, SL, Javaheri, Z, Jonas, JB, Joukar, F, Jozwiak, JJ, Jurisson, M, Kalhor, R, Matin, BK, Karimi, SE, Kayode, GA, Karyani, AK, Kinfu, Y, Kisa, A, Kohler, S, Komaki, H, Kosen, S, Kotlo, A, Koyanagi, A, Kumar, GA, Kusuma, D, Lansingh, VC, Larsson, AO, Lasrado, S, Lee, SWH, Lim, L-L, Lozano, R, Abd El Razek, HM, Mahdavi, MM, Maleki, S, Malekzadeh, R, Mansour-Ghanaei, F, Mansournia, MA, Mantovani, LG, Martinez, G, Masoumi, SZ, Massenburg, BB, Menezes, RG, Mengesha, EW, Meretoja, TJ, Meretoja, A, Mestrovic, T, Kostova, NM, Miller, TR, Mirica, A, Mirrakhimov, EM, Moghadaszadeh, M, Mohajer, B, Mohamadi, E, Darwesh, AM, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mohebi, F, Mokdad, AH, Morrison, SD, Mosser, JF, Mousavi, SM, Muriithi, MK, Muthupandian, S, Myint, C-Y, Naderi, M, Nagarajan, AJ, Cuong, TN, Huong, LTN, Nonvignon, J, Noubiap, JJ, Oh, I-H, Olagunju, AT, Olusanya, JO, Olusanya, BO, Bali, AO, Onwujekwe, OE, Otstavnov, SS, Otstavnov, N, Owolabi, MO, Padubidri, JR, Palladino, R, Panda-Jonas, S, Pandey, A, Postma, MJ, Prada, SI, Pribadi, DRA, Rabiee, M, Rabiee, N, Rahim, F, Ranabhat, CL, Rao, SJ, Rathi, P, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rezapour, A, Sabour, S, Sahraian, MA, Salman, OM, Salomon, JA, Samy, AM, Sanabria, J, Santos, JV, Milicevic, MMS, Jose, BPS, Savic, M, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Servan-Mori, E, Setayesh, H, Shaikh, MA, Sheikh, A, Shibuya, K, Shrime, MG, Simonetti, B, Singh, JA, Singh, P, Skryabin, VY, Soheili, A, Soltani, S, Stefan, SC, Tabares-Seisdedos, R, Topor-Madry, R, Tovani-Palone, MR, Tran, BX, Travillian, R, Undurraga, EA, Valdez, PR, van Boven, JFM, Vasankari, TJ, Violante, FS, Vlassov, V, Vos, T, Wolfe, CDA, Wu, J, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yonemoto, N, Younis, MZ, Yu, C, Zaidi, Z, Bin Zaman, S, Zastrozhin, MS, Zhang, Z-J, Zhao, Y, Murray, CJL, Dieleman, JL, Micah, AE, Su, Y, Bachmeier, SD, Chapin, A, Cogswell, IE, Crosby, SW, Cunningham, B, Harle, AC, Maddison, ER, Moitra, M, Sahu, M, Schneider, MT, Simpson, KE, Stutzman, HN, Tsakalos, G, Zende, RR, Zlavog, BS, Abbafati, C, Abebo, ZH, Abolhassani, H, Abrigo, MRM, Ahmed, MB, Akinyemi, RO, Alam, K, Ali, S, Alinia, C, Alipour, V, Aljunid, SM, Almasi, A, Alvis-Guzman, N, Ancuceanu, R, Andrei, T, Andrei, CL, Anjomshoa, M, Antonio, CAT, Arabloo, J, Arab-Zozani, M, Aremu, O, Atnafu, DD, Ausloos, M, Avila-Burgos, L, Ayanore, MA, Azari, S, Babalola, TK, Bagherzadeh, M, Baig, AA, Bakhtiari, A, Banach, M, Banerjee, SK, Barnighausen, TW, Basu, S, Baune, BT, Bayati, M, Berman, AE, Bhageerathy, R, Bhardwaj, P, Bohluli, M, Busse, R, Cahuana-Hurtado, L, Camera, LLAA, Castaneda-Orjuela, CA, Catala-Lopez, F, Cevik, M, Chattu, VK, Dandona, L, Dandona, R, Dianatinasab, M, Hoa, TD, Doshmangir, L, El Tantawi, M, Eskandarieh, S, Esmaeilzadeh, F, Faraj, A, Farzadfar, F, Fischer, F, Foigt, NA, Fullman, N, Gad, MM, Ghafourifard, M, Ghashghaee, A, Gholamian, A, Goharinezhad, S, Grada, A, Bidgoli, HH, Hamidi, S, Harb, HL, Hasanpoor, E, Hay, SI, Hendrie, D, Henry, NJ, Herteliu, C, Hole, MK, Hosseinzadeh, M, Hostiuc, S, Huda, TM, Humayun, A, Hwang, B-F, Ilesanmi, OS, Iqbal, U, Irvani, SS, Islam, SMS, Islam, MM, Jahani, MA, Jakovljevic, M, James, SL, Javaheri, Z, Jonas, JB, Joukar, F, Jozwiak, JJ, Jurisson, M, Kalhor, R, Matin, BK, Karimi, SE, Kayode, GA, Karyani, AK, Kinfu, Y, Kisa, A, Kohler, S, Komaki, H, Kosen, S, Kotlo, A, Koyanagi, A, Kumar, GA, Kusuma, D, Lansingh, VC, Larsson, AO, Lasrado, S, Lee, SWH, Lim, L-L, Lozano, R, Abd El Razek, HM, Mahdavi, MM, Maleki, S, Malekzadeh, R, Mansour-Ghanaei, F, Mansournia, MA, Mantovani, LG, Martinez, G, Masoumi, SZ, Massenburg, BB, Menezes, RG, Mengesha, EW, Meretoja, TJ, Meretoja, A, Mestrovic, T, Kostova, NM, Miller, TR, Mirica, A, Mirrakhimov, EM, Moghadaszadeh, M, Mohajer, B, Mohamadi, E, Darwesh, AM, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mohebi, F, Mokdad, AH, Morrison, SD, Mosser, JF, Mousavi, SM, Muriithi, MK, Muthupandian, S, Myint, C-Y, Naderi, M, Nagarajan, AJ, Cuong, TN, Huong, LTN, Nonvignon, J, Noubiap, JJ, Oh, I-H, Olagunju, AT, Olusanya, JO, Olusanya, BO, Bali, AO, Onwujekwe, OE, Otstavnov, SS, Otstavnov, N, Owolabi, MO, Padubidri, JR, Palladino, R, Panda-Jonas, S, Pandey, A, Postma, MJ, Prada, SI, Pribadi, DRA, Rabiee, M, Rabiee, N, Rahim, F, Ranabhat, CL, Rao, SJ, Rathi, P, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rezapour, A, Sabour, S, Sahraian, MA, Salman, OM, Salomon, JA, Samy, AM, Sanabria, J, Santos, JV, Milicevic, MMS, Jose, BPS, Savic, M, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Servan-Mori, E, Setayesh, H, Shaikh, MA, Sheikh, A, Shibuya, K, Shrime, MG, Simonetti, B, Singh, JA, Singh, P, Skryabin, VY, Soheili, A, Soltani, S, Stefan, SC, Tabares-Seisdedos, R, Topor-Madry, R, Tovani-Palone, MR, Tran, BX, Travillian, R, Undurraga, EA, Valdez, PR, van Boven, JFM, Vasankari, TJ, Violante, FS, Vlassov, V, Vos, T, Wolfe, CDA, Wu, J, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yonemoto, N, Younis, MZ, Yu, C, Zaidi, Z, Bin Zaman, S, Zastrozhin, MS, Zhang, Z-J, Zhao, Y, Murray, CJL, and Dieleman, JL
Abstract: BACKGROUND: Sustainable Development Goal (SDG) 3 aims to "ensure healthy lives and promote well-being for all at all ages". While a substantial effort has been made to quantify progress towards SDG3, less research has focused on tracking spending towards this goal. We used spending estimates to measure progress in financing the priority areas of SDG3, examine the association between outcomes and financing, and identify where resource gains are most needed to achieve the SDG3 indicators for which data are available. METHODS: We estimated domestic health spending, disaggregated by source (government, out-of-pocket, and prepaid private) from 1995 to 2017 for 195 countries and territories. For disease-specific health spending, we estimated spending for HIV/AIDS and tuberculosis for 135 low-income and middle-income countries, and malaria in 106 malaria-endemic countries, from 2000 to 2017. We also estimated development assistance for health (DAH) from 1990 to 2019, by source, disbursing development agency, recipient, and health focus area, including DAH for pandemic preparedness. Finally, we estimated future health spending for 195 countries and territories from 2018 until 2030. We report all spending estimates in inflation-adjusted 2019 US$, unless otherwise stated. FINDINGS: Since the development and implementation of the SDGs in 2015, global health spending has increased, reaching $7·9 trillion (95% uncertainty interval 7·8-8·0) in 2017 and is expected to increase to $11·0 trillion (10·7-11·2) by 2030. In 2017, in low-income and middle-income countries spending on HIV/AIDS was $20·2 billion (17·0-25·0) and on tuberculosis it was $10·9 billion (10·3-11·8), and in malaria-endemic countries spending on malaria was $5·1 billion (4·9-5·4). Development assistance for health was $40·6 billion in 2019 and HIV/AIDS has been the health focus area to receive the highest contribution since 2004. In 2019, $374 million of DAH was provided for pandemic preparedness, less than 1% of
Published: 2020

5. Concerns and adjustments: How the Portuguese population met COVID-19

Author: de Almeida, SV, Costa, E, Vargas Lopes, Francisca, Santos, JV, Barros, P P, de Almeida, SV, Costa, E, Vargas Lopes, Francisca, Santos, JV, and Barros, P P
Published: 2020

6. Population vulnerability to COVID-19 in Europe: a burden of disease analysis

Author: Wyper, GMA, Assuncao, R, Cuschieri, S, Devleesschauwer, B, Fletcher, E, Haagsma, Juanita, Hilderink, HBM, Idavain, J, Lesnik, T, Von der Lippe, E, Majdan, M, Milicevic, MS, Pallari, E, Penalvo, JL, Pires, SM, Plass, D, Santos, JV, Stockton, DL, Thomsen, ST, Grant, I, Wyper, GMA, Assuncao, R, Cuschieri, S, Devleesschauwer, B, Fletcher, E, Haagsma, Juanita, Hilderink, HBM, Idavain, J, Lesnik, T, Von der Lippe, E, Majdan, M, Milicevic, MS, Pallari, E, Penalvo, JL, Pires, SM, Plass, D, Santos, JV, Stockton, DL, Thomsen, ST, and Grant, I
Published: 2020

7. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Kyu, Hh, Abate, D, Abate, Kh, Abay, Sm, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, Rs, Abebe, M, Abebe, Z, Abil, Oz, Aboyans, V, Abrham, Ar, Abu-Raddad, Lj, Abu-Rmeileh, Nme, Accrombessi, Mmk, Acharya, D, Acharya, P, Ackerman, In, Adamu, Aa, Adebayo, Om, Adekanmbi, V, Ademi, Z, Adetokunboh, Oo, Adib, Mg, Adsuar, Jc, Afanvi, Ka, Afarideh, M, Afshin, A, Agarwal, G, Agesa, Km, Aggarwal, R, Aghayan, Sa, Agrawal, A, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, Mb, Ahmed, S, Aichour, An, Aichour, I, Aichour, Mte, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, Hm, Al-Raddadi, Rm, Alahdab, F, Alam, K, Alam, T, Alashi, A, Alavian, Sm, Alene, Ka, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, Sm, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Aminde, Ln, Amini, E, Amiresmaili, M, Ammar, W, Amoako, Ya, Anber, Nh, Andrei, Cl, Androudi, S, Animut, Md, Anjomshoa, M, Ansha, 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Subjects: Male, Health Status, health statu, HALE, mortality rate, communicable disease, DALYs, Global Burden of Disease, Risk Factors, Prevalence, Medicine and Health Sciences, Singapore, OUTCOMES, disability-adjusted life year, international cooperation, Medicine (all), 11 Medical And Health Sciences, Central African Republic, newborn disease, IRON-DEFICIENCY, AIDS, priority journal, Bahrain, disease severity, Female, Quality-Adjusted Life Years, cerebrovascular accident, Ukraine, Life Sciences & Biomedicine, INTERVENTIONS, Slovakia, DISORDERS, Burundi, WEIGHTS, GBD 2017 DALYs and HALE Collaborators, Communicable Diseases, Article, STYLE, Medicine, General & Internal, Life Expectancy, General & Internal Medicine, Humans, Disabled Persons, human, Healthy Lifestyle, HALE, DALYs, global burden of disease, Mortality, Aged, Science & Technology, Mortality, Premature, HIV, ischemic heart disease, major clinical study, PREVENTION, non communicable disease, GBD, disability-adjusted life-years, age, sex factor, Socioeconomic Factors, Algeria, Federation of Bosnia and Herzegovina, lower respiratory tract infection, Wounds and Injuries, GENDER, Human medicine, trend study, chronic obstructive lung disease
Abstract: Background How long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted life years (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severity of ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years. Methods We used data for age-specific mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Sociodemographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males. Findings Globally, from 1990 to 2017, life expectancy at birth increased by 7.4 years (95% uncertainty interval 74-7.8), from 65.6 years (65.3-65- 8) in 1990 to 73.0 years (72.7-73.3) in 2017. The increase in years of life varied from 5.1 years (5.0-5.3) in high SDI countries to 12.0 years (11.3-12.8) in low SDI countries. Of the additional years of life expected at birth, 26.3% (20.1-33.1) were expected to be spent in poor health in high SDI countries compared with 11.7% (8.8-15.1) in low-middle SDI countries. HALE at birth increased by 6.3 years (5.9-6.7), from 57.0 years (54.6-59.1) in 1990 to 63.3 years (60.5-65.7) in 2017. The increase varied from 3.8 years (3.4-4.1) in high SDI countries to 10.5 years (9.8-11.2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1.0 year (0.4-1.7) in Saint Vincent and the Grenadines (62.4 years [59.9-64.7] in 1990 to 63.5 years [60.9-65.8] in 2017) to 23.7 years (21.9-25.6) in Eritrea (30.7 years [28.9-32.2] in 1990 to 54.4 years [51.5-57.1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1.4 years (0.6-2.3) in Algeria to 11.9 years (10.9-12.9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75.8 years [72.4-78.7]) and males (72.6 years [69 " 8-75.0]) and the lowest estimates were in Central African Republic (47.0 years [43.7-50.2] for females and 42.8 years [40.1-45.6] for males). Globally, in 2017, the five leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41.3% (38.8-43.5) for communicable diseases and by 49"8% (47.9-51.6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40.1% (36.8-43.0), although age-standardised DALY rates decreased by 18.1% (16.0-20.2). Interpretation With increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low S DI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

8. Influence of the Elastic Modulus on the Osseointegration of Dental Implants

Author: Brizuela A, Herrero-Climent M, Rios-Carrasco E, Rios-Santos JV, Pérez RA, Manero JM, and Gil Mur J
Subjects: technology, industry, and agriculture, equipment and supplies, dental implant, low elastic modulus, osseointegration, titanium alloys
Abstract: The load transfer from metallic prosthesis to tissue plays an important role in the success of a designed device. From a mechanical behavior point of view, the load transfer will be favored when the elastic modulus between the metallic implant and the bone tissue are similar. Titanium and Ti-6Al-4V are the most commonly used metals and alloys in the field of dental implants, although they present high elastic moduli and hence trigger bone resorption. We propose the use of low-modulus ß-type titanium alloys that can improve the growth of new bone surrounding the implant. We designed dental implants with identical morphology and micro-roughness composed of: Ti-15Zr, Ti-19.1Nb-8.8Zr, Ti-41.2Nb-6.1Zr, and Ti-25Hf-25Ta. The commercially pure Ti cp and Ti-6Al-4V were used as control samples. The alloys were initially mechanically characterized with a tensile test using a universal testing machine. The results showed the lowest elastic modulus for the Ti-25Hf-25Ta alloy. We implanted a total of six implants in the mandible (3) and maxilla (3) for each titanium alloy in six minipigs and evaluated their bone index contact (i.e., the percentage of new bone in contact with the metal-BIC%) after 3 and 6 weeks of implantation. The results showed higher BIC% for the dental implants with lowest elastic modulus, showing the importance of decreasing the elastic modulus of alloys for the successful osseointegration of dental implants.
Published: 2019

9. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: James, SL, Theadom, A, Ellenbogen, RG, Bannick, MS, Mountjoy-Venning, WC, Lucchesi, LR, Abbasi, N, Abdulkader, R, Abraha, HN, Adsuar, JC, Afarideh, M, Agrawal, S, Ahmadi, A, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akinyemi, RO, Akseer, N, Alahdab, F, Alebel, A, Alghnam, SA, Ali, BA, Alsharif, U, Altirkawi, K, Andrei, CL, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Appiah, SCY, Ariani, F, Asefa, NG, Asgedom, SW, Atique, S, Awasthi, A, Quintanilla, BPA, Ayuk, TB, Azzopardi, PS, Badali, H, Badawi, A, Balalla, S, Banstola, A, Barker-Collo, SL, Barnighausen, TW, Bedi, N, Behzadifar, M, Bekele, BB, Belachew, AB, Belay, YA, Bennett, DA, Bensenor, IM, Berhane, A, Beuran, M, Bhalla, A, Bhaumik, S, Bhutta, ZA, Biadgo, B, Biffino, M, Bijani, A, Bililign, N, Birungi, C, Boufous, S, Brazinova, A, Brown, AW, Car, M, Cardenas, R, Carrero, JJ, Carvalho, F, Castaneda-Orjuela, CA, Catala-Lopez, F, Chaiah, Y, Champs, AP, Chang, J-C, Choi, J-YJ, Christopher, DJ, Cooper, C, Crowe, CS, Dandona, L, Dandona, R, Daryani, A, Davitoiu, DV, Degefa, MG, Demoz, GT, Deribe, K, Djalalinia, S, Huyen, PD, Doku, DT, Drake, TM, Dubey, M, Dubljanin, E, El-Khatib, Z, Eskandarieh, S, Esteghamati, A, Esteghamati, S, Faro, A, Farzadfar, F, Farzaei, MH, Fereshtehnejad, S-M, Fernandes, E, Feyissa, GT, Filip, I, Fischer, F, Fukumoto, T, Ganji, M, Gankpe, FG, Gebre, AK, Gebrehiwot, TT, Gezae, KE, Gopalkrishna, G, Goulart, AC, Haagsma, JA, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Haro, JM, Hassankhani, H, Hassen, HY, Havmoeller, R, Hawley, C, Hay, SI, Hegazy, MI, Hendrie, D, Henok, A, Hibstu, DT, Hoffman, HJ, Hole, MK, Rad, EH, Hosseini, SM, Hostiuc, S, Hu, G, Hussen, MA, Ilesanmi, OS, Irvani, SN, Jakovljevic, M, Jayaraman, S, Jha, RP, Jonas, JB, Jones, KM, Shushtari, ZJ, Jozwiak, JJ, Jurisson, M, Kabir, A, Kahsay, A, Kahssay, M, Kalani, R, Karch, A, Kasaeian, A, Kassa, GM, Kassa, TD, Kassa, ZY, Kengne, AP, Khader, YS, Khafaie, MA, Khalid, N, Khalil, I, Khan, EA, Khan, MS, Khang, Y-H, 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Olivares, PR, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Pakhale, S, Pandey, AR, Pesudovs, K, Pinilla-Monsalve, GD, Polinder, S, Poustchi, H, Prakash, S, Qorbani, M, Radfar, A, Rafay, A, Rafiei, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rahman, MA, Rai, RK, Rajati, F, Ram, U, Rawaf, DL, Rawaf, S, Reiner, RC, Reis, C, Renzaho, AMN, Resnikoff, S, Rezaei, S, Rezaeian, S, Roever, L, Ronfani, L, Roshandel, G, Roy, N, Ruhago, GM, Saddik, B, Safari, H, Safiri, S, Sahraian, MA, Salamati, P, Saldanha, RDF, Samy, AM, Sanabria, J, Santos, JV, Milicevic, MMMS, Sartorius, B, Satpathy, M, Schneider, IJC, Schwebel, DC, Sepanlou, SG, Shabaninejad, H, Shaikh, MAA, Shams-Beyranvand, M, Sharif, M, Sharif-Alhoseini, M, Islam, SMS, She, J, Sheikh, A, Shen, J, Sheth, KN, Shibuya, K, Shiferaw, MS, Shigematsu, M, Shiri, R, Shiue, I, Shoman, H, Siabani, S, Siddiqi, TJ, Silva, JP, Silveira, DGA, Sinha, DN, Smith, M, Soares Filho, AM, Sobhani, S, Soofi, M, Soriano, JB, Soyiri, IN, Stein, DJ, Stokes, MA, Sufiyan, MB, Sunguya, BF, Sunshine, JE, Sykes, BL, Szoeke, CEI, Tabares-Seisdedos, R, Ao, BJT, Tehrani-Banihashemi, A, Tekle, MG, Temsah, M-H, Temsah, O, Topor-Madry, R, Tortajada-Girbes, M, Bach, XT, Khanh, BT, Car, LT, Ukwaja, KN, Ullah, I, Usman, MS, Uthman, OA, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Violante, FS, Wagnew, FS, Waheed, Y, Wang, Y-P, Weldegwergs, KG, Werdecker, A, Wijeratne, T, Winkler, AS, Wyper, GMA, Yano, Y, Yaseri, M, Yasin, YJ, Ye, P, Yimer, EM, Yip, P, Yisma, E, Yonemoto, N, Yoon, S-J, Yost, MG, Younis, MZ, Yousefifard, M, Yu, C, Zaidi, Z, Bin Zaman, S, Zamani, M, Zenebe, ZM, Zodpey, S, Feigin, VL, Vos, T, Murray, CJL, James, SL, Theadom, A, Ellenbogen, RG, Bannick, MS, Mountjoy-Venning, WC, Lucchesi, LR, Abbasi, N, Abdulkader, R, Abraha, HN, Adsuar, JC, Afarideh, M, Agrawal, S, Ahmadi, A, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akinyemi, RO, Akseer, N, Alahdab, F, Alebel, A, Alghnam, SA, Ali, BA, Alsharif, U, Altirkawi, K, Andrei, CL, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Appiah, SCY, Ariani, F, Asefa, NG, Asgedom, SW, Atique, S, Awasthi, A, Quintanilla, BPA, Ayuk, TB, Azzopardi, PS, Badali, H, Badawi, A, Balalla, S, Banstola, A, Barker-Collo, SL, Barnighausen, TW, Bedi, N, Behzadifar, M, Bekele, BB, Belachew, AB, Belay, YA, Bennett, DA, Bensenor, IM, Berhane, A, Beuran, M, Bhalla, A, Bhaumik, S, Bhutta, ZA, Biadgo, B, Biffino, M, Bijani, A, Bililign, N, Birungi, C, Boufous, S, Brazinova, A, Brown, AW, Car, M, Cardenas, R, Carrero, JJ, Carvalho, F, Castaneda-Orjuela, CA, Catala-Lopez, F, Chaiah, Y, Champs, AP, Chang, J-C, Choi, J-YJ, Christopher, DJ, Cooper, C, Crowe, CS, Dandona, L, Dandona, R, Daryani, A, Davitoiu, DV, Degefa, MG, Demoz, GT, Deribe, K, Djalalinia, S, Huyen, PD, Doku, DT, Drake, TM, Dubey, M, Dubljanin, E, El-Khatib, Z, Eskandarieh, S, Esteghamati, A, Esteghamati, S, Faro, A, Farzadfar, F, Farzaei, MH, Fereshtehnejad, S-M, Fernandes, E, Feyissa, GT, Filip, I, Fischer, F, Fukumoto, T, Ganji, M, Gankpe, FG, Gebre, AK, Gebrehiwot, TT, Gezae, KE, Gopalkrishna, G, Goulart, AC, Haagsma, JA, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Haro, JM, Hassankhani, H, Hassen, HY, Havmoeller, R, Hawley, C, Hay, SI, Hegazy, MI, Hendrie, D, Henok, A, Hibstu, DT, Hoffman, HJ, Hole, MK, Rad, EH, Hosseini, SM, Hostiuc, S, Hu, G, Hussen, MA, Ilesanmi, OS, Irvani, SN, Jakovljevic, M, Jayaraman, S, Jha, RP, Jonas, JB, Jones, KM, Shushtari, ZJ, Jozwiak, JJ, Jurisson, M, Kabir, A, Kahsay, A, Kahssay, M, Kalani, R, Karch, A, Kasaeian, A, Kassa, GM, Kassa, TD, Kassa, ZY, Kengne, AP, Khader, YS, Khafaie, MA, Khalid, N, Khalil, I, Khan, EA, Khan, MS, Khang, Y-H, Khazaie, H, Khoja, AT, Khubchandani, J, Kiadaliri, AA, Kim, D, Kim, Y-E, Kisa, A, Koyanagi, A, Krohn, KJ, Defo, BK, Bicer, BK, Kumar, GA, Kumar, M, Lalloo, R, Lami, FH, Lansingh, VC, Laryea, DO, Latifi, A, Leshargie, CT, Levi, M, Li, S, Liben, ML, Lotufo, PA, Lunevicius, R, Mahotra, NB, Majdan, M, Majeed, A, Malekzadeh, R, Manda, A-L, Mansournia, MA, Massenburg, BB, Mate, KKV, Mehndiratta, MM, Mehta, V, Meles, H, Melese, A, Memiah, PTN, Mendoza, W, Mengistu, G, Meretoja, A, Meretoja, TJ, Mestrovic, T, Miazgowski, T, Miller, TR, Mini, GK, Mirica, A, Mirrakhimov, EM, Moazen, B, Mohammadi, M, Mokdad, AH, Molokhia, M, Monasta, L, Mondello, S, Moosazadeh, M, Moradi, G, Moradi, M, Moradi-Lakeh, M, Moradinazar, M, Morrison, SD, Moschos, MM, Mousavi, SM, Murthy, S, Musa, KI, Mustafa, G, Naghavi, M, Naik, G, Najafi, F, Nangia, V, Nascimento, BR, Negoi, I, Trang, HN, Nichols, E, Ningrum, DNA, Nirayo, YL, Nyasulu, PS, Ofori-Asenso, R, Ogbo, FA, Oh, I-H, Okoro, A, Olagunju, AT, Olagunju, TO, Olivares, PR, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Pakhale, S, Pandey, AR, Pesudovs, K, Pinilla-Monsalve, GD, Polinder, S, Poustchi, H, Prakash, S, Qorbani, M, Radfar, A, Rafay, A, Rafiei, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rahman, MA, Rai, RK, Rajati, F, Ram, U, Rawaf, DL, Rawaf, S, Reiner, RC, Reis, C, Renzaho, AMN, Resnikoff, S, Rezaei, S, Rezaeian, S, Roever, L, Ronfani, L, Roshandel, G, Roy, N, Ruhago, GM, Saddik, B, Safari, H, Safiri, S, Sahraian, MA, Salamati, P, Saldanha, RDF, Samy, AM, Sanabria, J, Santos, JV, Milicevic, MMMS, Sartorius, B, Satpathy, M, Schneider, IJC, Schwebel, DC, Sepanlou, SG, Shabaninejad, H, Shaikh, MAA, Shams-Beyranvand, M, Sharif, M, Sharif-Alhoseini, M, Islam, SMS, She, J, Sheikh, A, Shen, J, Sheth, KN, Shibuya, K, Shiferaw, MS, Shigematsu, M, Shiri, R, Shiue, I, Shoman, H, Siabani, S, Siddiqi, TJ, Silva, JP, Silveira, DGA, Sinha, DN, Smith, M, Soares Filho, AM, Sobhani, S, Soofi, M, Soriano, JB, Soyiri, IN, Stein, DJ, Stokes, MA, Sufiyan, MB, Sunguya, BF, Sunshine, JE, Sykes, BL, Szoeke, CEI, Tabares-Seisdedos, R, Ao, BJT, Tehrani-Banihashemi, A, Tekle, MG, Temsah, M-H, Temsah, O, Topor-Madry, R, Tortajada-Girbes, M, Bach, XT, Khanh, BT, Car, LT, Ukwaja, KN, Ullah, I, Usman, MS, Uthman, OA, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Violante, FS, Wagnew, FS, Waheed, Y, Wang, Y-P, Weldegwergs, KG, Werdecker, A, Wijeratne, T, Winkler, AS, Wyper, GMA, Yano, Y, Yaseri, M, Yasin, YJ, Ye, P, Yimer, EM, Yip, P, Yisma, E, Yonemoto, N, Yoon, S-J, Yost, MG, Younis, MZ, Yousefifard, M, Yu, C, Zaidi, Z, Bin Zaman, S, Zamani, M, Zenebe, ZM, Zodpey, S, Feigin, VL, Vos, T, and Murray, CJL
Abstract: BACKGROUND: Traumatic brain injury (TBI) and spinal cord injury (SCI) are increasingly recognised as global health priorities in view of the preventability of most injuries and the complex and expensive medical care they necessitate. We aimed to measure the incidence, prevalence, and years of life lived with disability (YLDs) for TBI and SCI from all causes of injury in every country, to describe how these measures have changed between 1990 and 2016, and to estimate the proportion of TBI and SCI cases caused by different types of injury. METHODS: We used results from the Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016 to measure the global, regional, and national burden of TBI and SCI by age and sex. We measured the incidence and prevalence of all causes of injury requiring medical care in inpatient and outpatient records, literature studies, and survey data. By use of clinical record data, we estimated the proportion of each cause of injury that required medical care that would result in TBI or SCI being considered as the nature of injury. We used literature studies to establish standardised mortality ratios and applied differential equations to convert incidence to prevalence of long-term disability. Finally, we applied GBD disability weights to calculate YLDs. We used a Bayesian meta-regression tool for epidemiological modelling, used cause-specific mortality rates for non-fatal estimation, and adjusted our results for disability experienced with comorbid conditions. We also analysed results on the basis of the Socio-demographic Index, a compound measure of income per capita, education, and fertility. FINDINGS: In 2016, there were 27·08 million (95% uncertainty interval [UI] 24·30-30·30 million) new cases of TBI and 0·93 million (0·78-1·16 million) new cases of SCI, with age-standardised incidence rates of 369 (331-412) per 100 000 population for TBI and 13 (11-16) per 100 000 for SCI. In 2016, the number of prevalent cases of TBI was 55·50
Published: 2019

10. Past, present, and future of global health financing: a review of development assistance, government, out-of-pocket, and other private spending on health for 195 countries, 1995-2050

Author: Chang, AY, Cowling, K, Micah, AE, Chapin, A, Chen, CS, Ikilezi, G, Sadat, N, Tsakalos, G, Wu, J, Younker, T, Zhao, Y, Zlavog, BS, Abbafati, C, Ahmed, AE, Alam, K, Alipour, V, Aljunid, SM, Almalki, MJ, Alvis-Guzman, N, Ammar, W, Andrei, CL, Anjomshoa, M, Antonio, CAT, Arabloo, J, Aremu, O, Ausloos, M, Avila-Burgos, L, Awasthi, A, Ayanore, MA, Azari, S, Azzopardi-Muscat, N, Bagherzadeh, M, Baernighausen, TW, Baune, BT, Bayati, M, Belay, YB, Belay, YA, Belete, H, Berbada, DA, Berman, AE, Beuran, M, Bijani, A, Busse, R, Cahuana-Hurtado, L, Alberto Camera, L, Catala-Lopez, F, Chauhan, BG, Constantin, M-M, Crowe, CS, Cucu, A, Dalal, K, De Neve, J-W, Deipatine, S, Demeke, FM, Huyen, PD, Dubey, M, El Tantawi, M, Eskandarieh, S, Esmaeili, R, Fakhar, M, Fazaeli, AA, Fischer, F, Foigt, NA, Fukumoto, T, Fullman, N, Galan, A, Gamkrelidze, A, Gezae, KE, Ghajar, A, Ghashghaee, A, Goginashvili, K, Haakenstad, A, Bidgoli, HH, Hamidi, S, Harb, HL, Hasanpoor, E, Hassen, HY, Hay, S, Hendrie, D, Henok, A, Heredia-Pi, I, Herteliu, C, Hoang, CL, Hole, MK, Rad, EH, Hossain, N, Hosseinzadeh, M, Hostiuc, S, Ilesanmi, OS, Irvani, SSN, Jakovljevic, M, Jalali, A, James, SL, Jonas, JB, Jurisson, M, Kadel, R, Matin, BK, Kasaeian, A, Kasaye, HK, Kassaw, MW, Karyani, AK, Khabiri, R, Khan, J, Khan, MN, Khang, Y-H, Kisa, A, Kissimova-Skarbek, K, Kohler, S, Koyanagi, A, Krohn, KJ, Leung, R, Lim, L-L, Lorkowski, S, Majeed, A, Malekzadeh, R, Mansourian, M, Mantovani, LG, Massenburg, BB, Mckee, M, Mehta, V, Meretoja, A, Meretoja, TJ, Kostova, NM, Miller, TR, Mirrakhimov, EM, Mohajer, B, Darwesh, AM, Mohammed, S, Mohebi, F, Mokdad, AH, Morrison, SD, Mousavi, SM, Muthupandian, S, Nagarajan, AJ, Nangia, V, Cuong, TN, Huong, LTN, Son, HN, Nosratnejad, S, Oladimeji, O, Olgiati, S, Olusanya, JO, Onwujekwe, OE, Otstavnov, SS, Pana, A, Pereira, DM, Piroozi, B, Prada, S, Qorbani, M, Rabiee, M, Rabiee, N, Rafiei, A, Rahim, F, Rahimi-Mcwaghar, V, Ram, U, Ranabhat, CL, Ranta, A, Rawaf, DL, Rawaf, S, Rezaei, S, Roro, EM, Rostami, A, Rubino, S, Salahshoor, M, Samy, AM, Sanabria, J, Santos, JV, Santric Milicevic, MM, Sao Jose, BP, Savic, M, Schwendicke, F, Sepanlou, SG, Sepehrimanesh, M, Sheikh, A, Shrime, MG, Sisay, S, Soltani, S, Soofi, M, Srinivasan, V, Tabares-Seisdedos, R, Torre, A, Tovani-Palone, MR, Bach, XT, Khanh, BT, Undurraga, EA, Valdez, PR, Van Boven, JFM, Vargas, V, Veisani, Y, Violante, FS, Vladimirov, SK, Vlassov, V, Vollmer, S, Giang, TV, Wolfe, CDA, Yonemoto, N, Younis, MZ, Yousefifard, M, Bin Zaman, S, Zangeneh, A, Zegeye, EA, Ziapour, A, Chew, A, Murray, CJL, Dieleman, JL, Chang, AY, Cowling, K, Micah, AE, Chapin, A, Chen, CS, Ikilezi, G, Sadat, N, Tsakalos, G, Wu, J, Younker, T, Zhao, Y, Zlavog, BS, Abbafati, C, Ahmed, AE, Alam, K, Alipour, V, Aljunid, SM, Almalki, MJ, Alvis-Guzman, N, Ammar, W, Andrei, CL, Anjomshoa, M, Antonio, CAT, Arabloo, J, Aremu, O, Ausloos, M, Avila-Burgos, L, Awasthi, A, Ayanore, MA, Azari, S, Azzopardi-Muscat, N, Bagherzadeh, M, Baernighausen, TW, Baune, BT, Bayati, M, Belay, YB, Belay, YA, Belete, H, Berbada, DA, Berman, AE, Beuran, M, Bijani, A, Busse, R, Cahuana-Hurtado, L, Alberto Camera, L, Catala-Lopez, F, Chauhan, BG, Constantin, M-M, Crowe, CS, Cucu, A, Dalal, K, De Neve, J-W, Deipatine, S, Demeke, FM, Huyen, PD, Dubey, M, El Tantawi, M, Eskandarieh, S, Esmaeili, R, Fakhar, M, Fazaeli, AA, Fischer, F, Foigt, NA, Fukumoto, T, Fullman, N, Galan, A, Gamkrelidze, A, Gezae, KE, Ghajar, A, Ghashghaee, A, Goginashvili, K, Haakenstad, A, Bidgoli, HH, Hamidi, S, Harb, HL, Hasanpoor, E, Hassen, HY, Hay, S, Hendrie, D, Henok, A, Heredia-Pi, I, Herteliu, C, Hoang, CL, Hole, MK, Rad, EH, Hossain, N, Hosseinzadeh, M, Hostiuc, S, Ilesanmi, OS, Irvani, SSN, Jakovljevic, M, Jalali, A, James, SL, Jonas, JB, Jurisson, M, Kadel, R, Matin, BK, Kasaeian, A, Kasaye, HK, Kassaw, MW, Karyani, AK, Khabiri, R, Khan, J, Khan, MN, Khang, Y-H, Kisa, A, Kissimova-Skarbek, K, Kohler, S, Koyanagi, A, Krohn, KJ, Leung, R, Lim, L-L, Lorkowski, S, Majeed, A, Malekzadeh, R, Mansourian, M, Mantovani, LG, Massenburg, BB, Mckee, M, Mehta, V, Meretoja, A, Meretoja, TJ, Kostova, NM, Miller, TR, Mirrakhimov, EM, Mohajer, B, Darwesh, AM, Mohammed, S, Mohebi, F, Mokdad, AH, Morrison, SD, Mousavi, SM, Muthupandian, S, Nagarajan, AJ, Nangia, V, Cuong, TN, Huong, LTN, Son, HN, Nosratnejad, S, Oladimeji, O, Olgiati, S, Olusanya, JO, Onwujekwe, OE, Otstavnov, SS, Pana, A, Pereira, DM, Piroozi, B, Prada, S, Qorbani, M, Rabiee, M, Rabiee, N, Rafiei, A, Rahim, F, Rahimi-Mcwaghar, V, Ram, U, Ranabhat, CL, Ranta, A, Rawaf, DL, Rawaf, S, Rezaei, S, Roro, EM, Rostami, A, Rubino, S, Salahshoor, M, Samy, AM, Sanabria, J, Santos, JV, Santric Milicevic, MM, Sao Jose, BP, Savic, M, Schwendicke, F, Sepanlou, SG, Sepehrimanesh, M, Sheikh, A, Shrime, MG, Sisay, S, Soltani, S, Soofi, M, Srinivasan, V, Tabares-Seisdedos, R, Torre, A, Tovani-Palone, MR, Bach, XT, Khanh, BT, Undurraga, EA, Valdez, PR, Van Boven, JFM, Vargas, V, Veisani, Y, Violante, FS, Vladimirov, SK, Vlassov, V, Vollmer, S, Giang, TV, Wolfe, CDA, Yonemoto, N, Younis, MZ, Yousefifard, M, Bin Zaman, S, Zangeneh, A, Zegeye, EA, Ziapour, A, Chew, A, Murray, CJL, and Dieleman, JL
Abstract: BACKGROUND: Comprehensive and comparable estimates of health spending in each country are a key input for health policy and planning, and are necessary to support the achievement of national and international health goals. Previous studies have tracked past and projected future health spending until 2040 and shown that, with economic development, countries tend to spend more on health per capita, with a decreasing share of spending from development assistance and out-of-pocket sources. We aimed to characterise the past, present, and predicted future of global health spending, with an emphasis on equity in spending across countries. METHODS: We estimated domestic health spending for 195 countries and territories from 1995 to 2016, split into three categories-government, out-of-pocket, and prepaid private health spending-and estimated development assistance for health (DAH) from 1990 to 2018. We estimated future scenarios of health spending using an ensemble of linear mixed-effects models with time series specifications to project domestic health spending from 2017 through 2050 and DAH from 2019 through 2050. Data were extracted from a broad set of sources tracking health spending and revenue, and were standardised and converted to inflation-adjusted 2018 US dollars. Incomplete or low-quality data were modelled and uncertainty was estimated, leading to a complete data series of total, government, prepaid private, and out-of-pocket health spending, and DAH. Estimates are reported in 2018 US dollars, 2018 purchasing-power parity-adjusted dollars, and as a percentage of gross domestic product. We used demographic decomposition methods to assess a set of factors associated with changes in government health spending between 1995 and 2016 and to examine evidence to support the theory of the health financing transition. We projected two alternative future scenarios based on higher government health spending to assess the potential ability of governments to generate more reso
Published: 2019

11. Global, regional, and national burden of stroke, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Johnson, CO, Minh, N, Roth, GA, Nichols, E, Alam, T, Abate, D, Abd-Allah, F, Abdelalim, A, Abraha, HN, Abu-Rmeileh, NM, Adebayo, OM, Adeoye, AM, Agarwal, G, Agrawal, S, Aichour, AN, Aichour, I, Aichour, MTE, Alahdab, F, Ali, R, Alvis-Guzman, N, Anber, NH, Anjomshoa, M, Arabloo, J, Arauz, A, Arnlov, J, Arora, A, Awasthi, A, Banach, M, Barboza, MA, Barker-Collo, SL, Barnighausen, TW, Basu, S, Belachew, AB, Belayneh, YM, Bennett, DA, Bensenor, IM, Bhattacharyya, K, Biadgo, B, Bijani, A, Bikbov, B, Bin Sayeed, MS, Butt, ZA, Cahuana-Hurtado, L, Carrero, JJ, Carvalho, F, Castaneda-Orjuela, CA, Castro, F, Catala-Lopez, F, Chaiah, Y, Chiang, PP-C, Choi, J-YJ, Christensen, H, Chu, D-T, Cortinovis, M, Moura Damasceno, AA, Dandona, L, Dandona, R, Daryani, A, Davletov, K, De Courten, B, De la Cruz-Gongora, V, Degefa, MG, Dharmaratne, SD, Diaz, D, Dubey, M, Duken, EE, Edessa, D, Endres, M, Faraon, EJA, Farzadfar, F, Fernandes, E, Fischer, F, Flor, LS, Ganji, M, Gebre, AK, Gebremichael, TG, Geta, B, Gezae, KE, Gill, PS, Gnedovskaya, EV, Gomez-Dantes, H, Goulart, AC, Grosso, G, Guo, Y, Gupta, R, Haj-Mirzaian, A, Hamidi, S, Hankey, GJ, Hassen, HY, Hay, SI, Hegazy, MI, Heidari, B, Herial, NA, Hosseini, MA, Hostiuc, S, Irvani, SSN, Islam, SMS, Jahanmehr, N, Javanbakht, M, Jha, RP, Jonas, JB, Jozwiak, JJ, Jurisson, M, Kahsay, A, Kalani, R, Kalkonde, Y, Kamil, TA, Kanchan, T, Karch, A, Karimi, N, Karimi-Sari, H, Kasaeian, A, Kassa, TD, Kazemeini, H, Kefale, AT, Khader, YS, Khalil, IA, Khan, EA, Khang, Y-H, Khubchandani, J, Kim, D, Kim, YJ, Kisa, A, Kivimaki, M, Koyanagi, A, Krishnamurthi, RK, Kumar, GA, Lafranconi, A, Lewington, S, Li, S, Lo, WD, Lopez, AD, Lorkowski, S, Lotufo, PA, Mackay, MT, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Manafi, N, Mansournia, MA, Mehndiratta, MM, Mehta, V, Mengistu, G, Meretoja, A, Meretoja, TJ, Miazgowski, B, Miazgowski, T, Miller, TR, Mirrakhimov, EM, Mohajer, B, Mohammad, Y, Mohammadoo-Khorasani, M, Mohammed, S, Mohebi, F, Mokdad, AH, Mokhayeri, Y, Moradi, G, Morawska, L, Velasquez, IM, Mousavi, SM, Muhammed, OSS, Muruet, W, Naderi, M, Naghavi, M, Naik, G, Nascimento, BR, Negoi, RI, Cuong, TN, Long, HN, Nirayo, YL, Norrving, B, Noubiap, JJ, Ofori-Asenso, R, Ogbo, FA, Olagunju, AT, Olagunju, TO, Owolabi, MO, Pandian, JD, Patel, S, Perico, N, Piradov, MA, Polinder, S, Postma, MJ, Poustchi, H, Prakash, V, Qorbani, M, Rafiei, A, Rahim, F, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MA, Reis, C, Remuzzi, G, Renzaho, AMN, Ricci, S, Roberts, NLS, Robinson, SR, Roever, L, Roshandel, G, Sabbagh, P, Safari, H, Safari, S, Safiri, S, Sahebkar, A, Zahabi, SS, Samy, AM, Santalucia, P, Santos, IS, Santos, JV, Milicevic, MMS, Sartorius, B, Sawant, AR, Schutte, AE, Sepanlou, SG, Shafieesabet, A, Shaikh, MA, Shams-Beyranvand, M, Sheikh, A, Sheth, KN, Shibuya, K, Shigematsu, M, Shin, M-J, Shiue, I, Siabani, S, Sobaih, BH, Sposato, LA, Sutradhar, I, Sylaja, PA, Szoeke, CEI, Ao, BJT, Temsah, M-H, Temsah, O, Thrift, AG, Tonelli, M, Topor-Madry, R, Bach, XT, Khanh, BT, Truelsen, TC, Tsadik, AG, Ullah, I, Uthman, OA, Vaduganathan, M, Valdez, PR, Vasankari, TJ, Vasanthan, R, Venketasubramanian, N, Vosoughi, K, Giang, TV, Waheed, Y, Weiderpass, E, Weldegwergs, KG, Westerman, R, Wolfe, CDA, Wondafrash, DZ, Xu, G, Yadollahpour, A, Yamada, T, Yatsuya, H, Yimer, EM, Yonemoto, N, Yousefifard, M, Yu, C, Zaidi, Z, Zamani, M, Zarghi, A, Zhang, Y, Zodpey, S, Feigin, VL, Vos, T, Murray, CJL, Johnson, CO, Minh, N, Roth, GA, Nichols, E, Alam, T, Abate, D, Abd-Allah, F, Abdelalim, A, Abraha, HN, Abu-Rmeileh, NM, Adebayo, OM, Adeoye, AM, Agarwal, G, Agrawal, S, Aichour, AN, Aichour, I, Aichour, MTE, Alahdab, F, Ali, R, Alvis-Guzman, N, Anber, NH, Anjomshoa, M, Arabloo, J, Arauz, A, Arnlov, J, Arora, A, Awasthi, A, Banach, M, Barboza, MA, Barker-Collo, SL, Barnighausen, TW, Basu, S, Belachew, AB, Belayneh, YM, Bennett, DA, Bensenor, IM, Bhattacharyya, K, Biadgo, B, Bijani, A, Bikbov, B, Bin Sayeed, MS, Butt, ZA, Cahuana-Hurtado, L, Carrero, JJ, Carvalho, F, Castaneda-Orjuela, CA, Castro, F, Catala-Lopez, F, Chaiah, Y, Chiang, PP-C, Choi, J-YJ, Christensen, H, Chu, D-T, Cortinovis, M, Moura Damasceno, AA, Dandona, L, Dandona, R, Daryani, A, Davletov, K, De Courten, B, De la Cruz-Gongora, V, Degefa, MG, Dharmaratne, SD, Diaz, D, Dubey, M, Duken, EE, Edessa, D, Endres, M, Faraon, EJA, Farzadfar, F, Fernandes, E, Fischer, F, Flor, LS, Ganji, M, Gebre, AK, Gebremichael, TG, Geta, B, Gezae, KE, Gill, PS, Gnedovskaya, EV, Gomez-Dantes, H, Goulart, AC, Grosso, G, Guo, Y, Gupta, R, Haj-Mirzaian, A, Hamidi, S, Hankey, GJ, Hassen, HY, Hay, SI, Hegazy, MI, Heidari, B, Herial, NA, Hosseini, MA, Hostiuc, S, Irvani, SSN, Islam, SMS, Jahanmehr, N, Javanbakht, M, Jha, RP, Jonas, JB, Jozwiak, JJ, Jurisson, M, Kahsay, A, Kalani, R, Kalkonde, Y, Kamil, TA, Kanchan, T, Karch, A, Karimi, N, Karimi-Sari, H, Kasaeian, A, Kassa, TD, Kazemeini, H, Kefale, AT, Khader, YS, Khalil, IA, Khan, EA, Khang, Y-H, Khubchandani, J, Kim, D, Kim, YJ, Kisa, A, Kivimaki, M, Koyanagi, A, Krishnamurthi, RK, Kumar, GA, Lafranconi, A, Lewington, S, Li, S, Lo, WD, Lopez, AD, Lorkowski, S, Lotufo, PA, Mackay, MT, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Manafi, N, Mansournia, MA, Mehndiratta, MM, Mehta, V, Mengistu, G, Meretoja, A, Meretoja, TJ, Miazgowski, B, Miazgowski, T, Miller, TR, Mirrakhimov, EM, Mohajer, B, Mohammad, Y, Mohammadoo-Khorasani, M, Mohammed, S, Mohebi, F, Mokdad, AH, Mokhayeri, Y, Moradi, G, Morawska, L, Velasquez, IM, Mousavi, SM, Muhammed, OSS, Muruet, W, Naderi, M, Naghavi, M, Naik, G, Nascimento, BR, Negoi, RI, Cuong, TN, Long, HN, Nirayo, YL, Norrving, B, Noubiap, JJ, Ofori-Asenso, R, Ogbo, FA, Olagunju, AT, Olagunju, TO, Owolabi, MO, Pandian, JD, Patel, S, Perico, N, Piradov, MA, Polinder, S, Postma, MJ, Poustchi, H, Prakash, V, Qorbani, M, Rafiei, A, Rahim, F, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MA, Reis, C, Remuzzi, G, Renzaho, AMN, Ricci, S, Roberts, NLS, Robinson, SR, Roever, L, Roshandel, G, Sabbagh, P, Safari, H, Safari, S, Safiri, S, Sahebkar, A, Zahabi, SS, Samy, AM, Santalucia, P, Santos, IS, Santos, JV, Milicevic, MMS, Sartorius, B, Sawant, AR, Schutte, AE, Sepanlou, SG, Shafieesabet, A, Shaikh, MA, Shams-Beyranvand, M, Sheikh, A, Sheth, KN, Shibuya, K, Shigematsu, M, Shin, M-J, Shiue, I, Siabani, S, Sobaih, BH, Sposato, LA, Sutradhar, I, Sylaja, PA, Szoeke, CEI, Ao, BJT, Temsah, M-H, Temsah, O, Thrift, AG, Tonelli, M, Topor-Madry, R, Bach, XT, Khanh, BT, Truelsen, TC, Tsadik, AG, Ullah, I, Uthman, OA, Vaduganathan, M, Valdez, PR, Vasankari, TJ, Vasanthan, R, Venketasubramanian, N, Vosoughi, K, Giang, TV, Waheed, Y, Weiderpass, E, Weldegwergs, KG, Westerman, R, Wolfe, CDA, Wondafrash, DZ, Xu, G, Yadollahpour, A, Yamada, T, Yatsuya, H, Yimer, EM, Yonemoto, N, Yousefifard, M, Yu, C, Zaidi, Z, Zamani, M, Zarghi, A, Zhang, Y, Zodpey, S, Feigin, VL, Vos, T, and Murray, CJL
Abstract: BACKGROUND: Stroke is a leading cause of mortality and disability worldwide and the economic costs of treatment and post-stroke care are substantial. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic, comparable method of quantifying health loss by disease, age, sex, year, and location to provide information to health systems and policy makers on more than 300 causes of disease and injury, including stroke. The results presented here are the estimates of burden due to overall stroke and ischaemic and haemorrhagic stroke from GBD 2016. METHODS: We report estimates and corresponding uncertainty intervals (UIs), from 1990 to 2016, for incidence, prevalence, deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs). DALYs were generated by summing YLLs and YLDs. Cause-specific mortality was estimated using an ensemble modelling process with vital registration and verbal autopsy data as inputs. Non-fatal estimates were generated using Bayesian meta-regression incorporating data from registries, scientific literature, administrative records, and surveys. The Socio-demographic Index (SDI), a summary indicator generated using educational attainment, lagged distributed income, and total fertility rate, was used to group countries into quintiles. FINDINGS: In 2016, there were 5·5 million (95% UI 5·3 to 5·7) deaths and 116·4 million (111·4 to 121·4) DALYs due to stroke. The global age-standardised mortality rate decreased by 36·2% (-39·3 to -33·6) from 1990 to 2016, with decreases in all SDI quintiles. Over the same period, the global age-standardised DALY rate declined by 34·2% (-37·2 to -31·5), also with decreases in all SDI quintiles. There were 13·7 million (12·7 to 14·7) new stroke cases in 2016. Global age-standardised incidence declined by 8·1% (-10·7 to -5·5) from 1990 to 2016 and decreased in all SDI quintiles except the middle SDI group. There were 80·1 million (74·1 to
Published: 2019

12. Repeatability of the resonance frequency analysis values in implants with a new technology

Author: Diaz-Castro, MC, primary, Falcao, A, additional, Lopez-Jarana, P, additional, Falcao, C, additional, Rios-Santos, JV, additional, Fernandez-Palacin, A, additional, and Herrero-Climent, M, additional
Published: 2019
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13. Inequalities in the sustainable development goal 3 in the European Union from 2000 to 2016

Author: Santos, JV, primary, Ricciardi, W, additional, and Freitas, A, additional
Published: 2018
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14. Dens evaginatus of anterior teeth (talon cusp): report of five cases.

Author: Segura-Egea JJ, Jiménez-Rubio A, Ríos-Santos JV, and Velasco-Ortega E
Abstract: The talon cusp, or dens evaginatus of anterior teeth, is a relatively rare dental developmental anomaly characterized by the presence of an accessory cusplike structure projecting from the cingulum area or cementoenamel junction. This occurs in either maxillary or mandibular anterior teeth in both the primary and permanent dentition. This article reports five cases of talon cusp, two of them bilateral, affecting permanent maxillary central and lateral incisors and canines that caused clinical problems related to caries or occlusal interferences. [ABSTRACT FROM AUTHOR]
Published: 2003

15. Spending on health and HIV/AIDS: domestic health spending and development assistance in 188 countries, 1995-2015

Author: Dieleman, JL, Haakenstad, A, Micah, A, Moses, M, Abbafati, C, Acharya, P, Adhikari, TB, Adou, AK, Kiadaliri, AA, Alam, K, Alizadeh-Navaei, R, Alkerwi, A, Ammar, W, Antonio, CAT, Aremu, O, Asgedom, SW, Atey, TM, Avila-Burgos, L, Awasthi, A, Ayer, R, Badali, H, Banach, M, Banstola, A, Barac, A, Belachew, AB, Birungi, C, Bragazzi, NL, Breitborde, NJK, Cahuana-Hurtado, L, Car, J, Catala-Lopez, F, Chapin, A, Dandona, L, Dandona, R, Daryani, A, Dharmaratne, SD, Dubey, M, Edessa, D, Eldrenkamp, E, Eshrati, B, Faro, A, Feigl, AB, Fenny, AP, Fischer, F, Foigt, N, Foreman, KJ, Fullman, N, Ghimire, M, Goli, S, Hailu, AD, Hamidi, S, Harb, HL, Hay, SI, Hendrie, D, Ikilezi, G, Javanbakht, M, John, D, Jonas, JB, Kaldjian, A, Kasaeian, A, Kates, J, Khalil, IA, Khang, Y-H, Khubchandani, J, Kim, YJ, Kinge, JM, Kosen, S, Krohn, KJ, Kumar, GA, Lam, H, Listl, S, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Malta, DC, Mensah, GA, Meretoja, A, Miller, TR, Mirrakhimov, EM, Mlashu, FW, Mohammed, E, Mohammed, S, Naghavi, M, Nangia, V, Ngalesoni, FN, Cuong, TN, Trang, HN, Niriayo, Y, Noroozi, M, Owolabi, MO, Pereira, DM, Qorbani, M, Rafay, A, Rafiei, A, Rahimi-Movaghar, V, Rai, RK, Ram, U, Ranabhat, CL, Ray, SE, Reiner, RC, Sadat, N, Sajadi, HS, Santos, JV, Sarker, AR, Sartorius, B, Satpathy, M, Savic, M, Schneider, M, Sepanlou, SG, Shaikh, MA, Sharif, M, She, J, Sheikh, A, Sisay, M, Soneji, S, Soofi, M, Tadesse, AH, Tao, T, Templin, T, Tesema, AG, Thapa, S, Thomson, AJ, Tobe-Gai, R, Topor-Madry, R, Bach, XT, Khanh, BT, Tung, TT, Undurraga, EA, Vasankari, T, Violante, FS, Wijeratne, T, Xu, G, Yonemoto, N, Younis, MZ, Yu, C, Zaki, MES, Zhou, L, Zlavog, B, Murray, CJL, Dieleman, JL, Haakenstad, A, Micah, A, Moses, M, Abbafati, C, Acharya, P, Adhikari, TB, Adou, AK, Kiadaliri, AA, Alam, K, Alizadeh-Navaei, R, Alkerwi, A, Ammar, W, Antonio, CAT, Aremu, O, Asgedom, SW, Atey, TM, Avila-Burgos, L, Awasthi, A, Ayer, R, Badali, H, Banach, M, Banstola, A, Barac, A, Belachew, AB, Birungi, C, Bragazzi, NL, Breitborde, NJK, Cahuana-Hurtado, L, Car, J, Catala-Lopez, F, Chapin, A, Dandona, L, Dandona, R, Daryani, A, Dharmaratne, SD, Dubey, M, Edessa, D, Eldrenkamp, E, Eshrati, B, Faro, A, Feigl, AB, Fenny, AP, Fischer, F, Foigt, N, Foreman, KJ, Fullman, N, Ghimire, M, Goli, S, Hailu, AD, Hamidi, S, Harb, HL, Hay, SI, Hendrie, D, Ikilezi, G, Javanbakht, M, John, D, Jonas, JB, Kaldjian, A, Kasaeian, A, Kates, J, Khalil, IA, Khang, Y-H, Khubchandani, J, Kim, YJ, Kinge, JM, Kosen, S, Krohn, KJ, Kumar, GA, Lam, H, Listl, S, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Malta, DC, Mensah, GA, Meretoja, A, Miller, TR, Mirrakhimov, EM, Mlashu, FW, Mohammed, E, Mohammed, S, Naghavi, M, Nangia, V, Ngalesoni, FN, Cuong, TN, Trang, HN, Niriayo, Y, Noroozi, M, Owolabi, MO, Pereira, DM, Qorbani, M, Rafay, A, Rafiei, A, Rahimi-Movaghar, V, Rai, RK, Ram, U, Ranabhat, CL, Ray, SE, Reiner, RC, Sadat, N, Sajadi, HS, Santos, JV, Sarker, AR, Sartorius, B, Satpathy, M, Savic, M, Schneider, M, Sepanlou, SG, Shaikh, MA, Sharif, M, She, J, Sheikh, A, Sisay, M, Soneji, S, Soofi, M, Tadesse, AH, Tao, T, Templin, T, Tesema, AG, Thapa, S, Thomson, AJ, Tobe-Gai, R, Topor-Madry, R, Bach, XT, Khanh, BT, Tung, TT, Undurraga, EA, Vasankari, T, Violante, FS, Wijeratne, T, Xu, G, Yonemoto, N, Younis, MZ, Yu, C, Zaki, MES, Zhou, L, Zlavog, B, and Murray, CJL
Abstract: BACKGROUND: Comparable estimates of health spending are crucial for the assessment of health systems and to optimally deploy health resources. The methods used to track health spending continue to evolve, but little is known about the distribution of spending across diseases. We developed improved estimates of health spending by source, including development assistance for health, and, for the first time, estimated HIV/AIDS spending on prevention and treatment and by source of funding, for 188 countries. METHODS: We collected published data on domestic health spending, from 1995 to 2015, from a diverse set of international agencies. We tracked development assistance for health from 1990 to 2017. We also extracted 5385 datapoints about HIV/AIDS spending, between 2000 and 2015, from online databases, country reports, and proposals submitted to multilateral organisations. We used spatiotemporal Gaussian process regression to generate complete and comparable estimates for health and HIV/AIDS spending. We report most estimates in 2017 purchasing-power parity-adjusted dollars and adjust all estimates for the effect of inflation. FINDINGS: Between 1995 and 2015, global health spending per capita grew at an annualised rate of 3·1% (95% uncertainty interval [UI] 3·1 to 3·2), with growth being largest in upper-middle-income countries (5·4% per capita [UI 5·3-5·5]) and lower-middle-income countries (4·2% per capita [4·2-4·3]). In 2015, $9·7 trillion (9·7 trillion to 9·8 trillion) was spent on health worldwide. High-income countries spent $6·5 trillion (6·4 trillion to 6·5 trillion) or 66·3% (66·0 to 66·5) of the total in 2015, whereas low-income countries spent $70·3 billion (69·3 billion to 71·3 billion) or 0·7% (0·7 to 0·7). Between 1990 and 2017, development assistance for health increased by 394·7% ($29·9 billion), with an estimated $37·4 billion of development assistance being disbursed for health in 2017, of which $9·1 billion (24·2%) targeted HIV/AIDS. Between 2000 and
Published: 2018

16. Trends in future health financing and coverage: future health spending and universal health coverage in 188 countries, 2016-40

Author: Dieleman, JL, Sadat, N, Chang, AY, Fullman, N, Abbafati, C, Acharya, P, Adou, AK, Kiadaliri, AA, Alam, K, Alizadeh-Navaei, R, Alkerwi, A, Ammar, W, Antonio, CAT, Arernu, O, Asgedom, SW, Atey, TM, Avila-Burgos, L, Awasthi, A, Ayer, R, Badali, H, Banach, M, Banstola, A, Barac, A, Belachew, AB, Birungi, C, Bragazzi, NL, Breitborde, NJK, Cahuana-Hurtado, L, Car, J, Catala-Lopez, F, Chapin, A, Chen, CS, Dandona, L, Dandona, R, Daryani, A, Dharmaratne, SD, Dubey, M, Edessa, D, Eldrenkamp, E, Eshrati, B, Faro, A, Feigl, AB, Fenny, AP, Fischer, F, Foigt, N, Foreman, KJ, Furst, T, Ghimire, M, Goli, S, Hailu, AD, Hamidi, S, Harb, HL, Hay, SI, Hendrie, D, Ikilezi, G, Javanbakht, M, John, D, Jonas, JB, Kaldjian, A, Kasaeian, A, Kasahun, YC, Khalil, IA, Khang, Y-H, Khubchandani, J, Kim, YJ, Kinge, JM, Kosen, S, Krohn, KJ, Kumar, GA, Lafranconi, A, Lam, H, Listl, S, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Malta, DC, Martinez, G, Mensah, GA, Meretoja, A, Micah, A, Miller, TR, Mirrakhimov, EM, Mlashu, FW, Mohammed, E, Mohammed, S, Mokdad, AH, Moses, M, Mousavi, SM, Naghavi, M, Nangia, V, Ngalesoni, FN, Cuong, TN, Trang, HN, Niriayo, Y, Noroozi, M, Owolabi, MO, Patel, T, Pereira, DM, Polinder, S, Qorbani, M, Rafay, A, Rafiei, A, Rahimi-Movaghar, V, Rai, RK, Ram, U, Ranabhat, CL, Ray, SE, Reiner, RC, Sajadi, HS, Santoro, R, Santos, JV, Sarker, AR, Sartorius, B, Satpathy, M, Sepanlou, SG, Shaikh, MA, Sharif, M, She, J, Sheikh, A, Shrime, MG, Sisay, M, Soneji, S, Soofi, M, Sorensen, RJD, Tao, T, Templin, T, Tesema, AG, Thapa, S, Tobe-Gai, R, Topor-Madry, R, Bach, XT, Khanh, BT, Tung, TT, Undurraga, EA, Vasankari, T, Violante, FS, Werdecker, A, Wijeratne, T, Xu, G, Yonemoto, N, Younis, MZ, Yu, C, Zaki, MES, Zlavog, B, Murray, CJL, Dieleman, JL, Sadat, N, Chang, AY, Fullman, N, Abbafati, C, Acharya, P, Adou, AK, Kiadaliri, AA, Alam, K, Alizadeh-Navaei, R, Alkerwi, A, Ammar, W, Antonio, CAT, Arernu, O, Asgedom, SW, Atey, TM, Avila-Burgos, L, Awasthi, A, Ayer, R, Badali, H, Banach, M, Banstola, A, Barac, A, Belachew, AB, Birungi, C, Bragazzi, NL, Breitborde, NJK, Cahuana-Hurtado, L, Car, J, Catala-Lopez, F, Chapin, A, Chen, CS, Dandona, L, Dandona, R, Daryani, A, Dharmaratne, SD, Dubey, M, Edessa, D, Eldrenkamp, E, Eshrati, B, Faro, A, Feigl, AB, Fenny, AP, Fischer, F, Foigt, N, Foreman, KJ, Furst, T, Ghimire, M, Goli, S, Hailu, AD, Hamidi, S, Harb, HL, Hay, SI, Hendrie, D, Ikilezi, G, Javanbakht, M, John, D, Jonas, JB, Kaldjian, A, Kasaeian, A, Kasahun, YC, Khalil, IA, Khang, Y-H, Khubchandani, J, Kim, YJ, Kinge, JM, Kosen, S, Krohn, KJ, Kumar, GA, Lafranconi, A, Lam, H, Listl, S, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Malta, DC, Martinez, G, Mensah, GA, Meretoja, A, Micah, A, Miller, TR, Mirrakhimov, EM, Mlashu, FW, Mohammed, E, Mohammed, S, Mokdad, AH, Moses, M, Mousavi, SM, Naghavi, M, Nangia, V, Ngalesoni, FN, Cuong, TN, Trang, HN, Niriayo, Y, Noroozi, M, Owolabi, MO, Patel, T, Pereira, DM, Polinder, S, Qorbani, M, Rafay, A, Rafiei, A, Rahimi-Movaghar, V, Rai, RK, Ram, U, Ranabhat, CL, Ray, SE, Reiner, RC, Sajadi, HS, Santoro, R, Santos, JV, Sarker, AR, Sartorius, B, Satpathy, M, Sepanlou, SG, Shaikh, MA, Sharif, M, She, J, Sheikh, A, Shrime, MG, Sisay, M, Soneji, S, Soofi, M, Sorensen, RJD, Tao, T, Templin, T, Tesema, AG, Thapa, S, Tobe-Gai, R, Topor-Madry, R, Bach, XT, Khanh, BT, Tung, TT, Undurraga, EA, Vasankari, T, Violante, FS, Werdecker, A, Wijeratne, T, Xu, G, Yonemoto, N, Younis, MZ, Yu, C, Zaki, MES, Zlavog, B, and Murray, CJL
Abstract: BACKGROUND: Achieving universal health coverage (UHC) requires health financing systems that provide prepaid pooled resources for key health services without placing undue financial stress on households. Understanding current and future trajectories of health financing is vital for progress towards UHC. We used historical health financing data for 188 countries from 1995 to 2015 to estimate future scenarios of health spending and pooled health spending through to 2040. METHODS: We extracted historical data on gross domestic product (GDP) and health spending for 188 countries from 1995 to 2015, and projected annual GDP, development assistance for health, and government, out-of-pocket, and prepaid private health spending from 2015 through to 2040 as a reference scenario. These estimates were generated using an ensemble of models that varied key demographic and socioeconomic determinants. We generated better and worse alternative future scenarios based on the global distribution of historic health spending growth rates. Last, we used stochastic frontier analysis to investigate the association between pooled health resources and UHC index, a measure of a country's UHC service coverage. Finally, we estimated future UHC performance and the number of people covered under the three future scenarios. FINDINGS: In the reference scenario, global health spending was projected to increase from US$10 trillion (95% uncertainty interval 10 trillion to 10 trillion) in 2015 to $20 trillion (18 trillion to 22 trillion) in 2040. Per capita health spending was projected to increase fastest in upper-middle-income countries, at 4·2% (3·4-5·1) per year, followed by lower-middle-income countries (4·0%, 3·6-4·5) and low-income countries (2·2%, 1·7-2·8). Despite global growth, per capita health spending was projected to range from only $40 (24-65) to $413 (263-668) in 2040 in low-income countries, and from $140 (90-200) to $1699 (711-3423) in lower-middle-income countries. Globally, the share
Published: 2018

17. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015

Author: Barber, RM, Fullman, N, Sorensen, RJD, Bollyky, T, McKee, M, Nolte, E, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulle, AM, Abdurahman, AA, Abera, SF, Abraham, B, Abreha, GF, Adane, K, Adelekan, AL, Adetifa, IMO, Afshin, A, Agarwal, A, Agarwal, SK, Agarwal, S, Agrawal, A, Kiadaliri, AA, Ahmadi, A, Ahmed, KY, Ahmed, MB, Akinyemi, RO, Akinyemiju, TF, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alam, SS, Alemu, ZA, Alene, KA, Alexander, L, Ali, R, Ali, SD, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Martin, EA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Amo-Adjei, J, Amoako, YA, Anderson, BO, Androudi, S, Ansari, H, Ansha, MG, Antonio, CAT, Ärnlöv, J, Artaman, A, Asayesh, H, Assadi, R, Astatkie, A, Atey, TM, Atique, S, Atnafu, NT, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Quintanilla, BPA, Awasthi, A, Ayele, NN, Azzopardi, P, Saleem, HOB, Bärnighausen, T, Bacha, U, Badawi, A, Banerjee, A, Barac, A, Barboza, MA, Barker-Collo, SL, Barrero, LH, Basu, S, Baune, BT, Baye, K, Bayou, YT, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Béjot, Y, Bello, AK, Bennett, DA, Bensenor, IM, Berhane, A, Bernabé, E, Bernal, OA, Beyene, AS, Beyene, TJ, Bhutta, ZA, Biadgilign, S, Bikbov, B, Birlik, SM, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, HM, Bose, D, Brainin, M, Brauer, M, Brazinova, A, Breitborde, NJK, Brenner, H, Butt, ZA, Cárdenas, R, Cahuana-Hurtado, L, Campos-Nonato, IR, Car, J, Carrero, JJ, Casey, D, Caso, V, Castañeda-Orjuela, CA, Rivas, JC, Catalá-López, F, Cecilio, P, Cercy, K, Charlson, FJ, Chen, AZ, Chew, A, Chibalabala, M, Chibueze, CE, Chisumpa, VH, Chitheer, AA, Chowdhury, R, Christensen, H, Christopher, DJ, Ciobanu, LG, Cirillo, M, Coggeshall, MS, Cooper, LT, Cortinovis, M, Crump, JA, Dalal, K, Danawi, H, Dandona, L, Dandona, R, Dargan, PI, das Neves, J, Davey, G, Davitoiu, DV, Davletov, K, De Leo, D, Del Gobbo, LC, del Pozo-Cruz, B, Dellavalle, RP, Deribe, K, Deribew, A, Des Jarlais, DC, Dey, S, Dharmaratne, SD, Dicker, D, Ding, EL, Dokova, K, Dorsey, ER, Doyle, KE, Dubey, M, Ehrenkranz, R, Ellingsen, CL, Elyazar, I, Enayati, A, Ermakov, SP, Eshrati, B, Esteghamati, A, Estep, K, Fürst, T, Faghmous, IDA, Fanuel, FBB, Faraon, EJA, Farid, TA, Farinha, CSES, Faro, A, Farvid, MS, Farzadfar, F, Feigin, VL, Feigl, AB, Fereshtehnejad, S-M, Fernandes, JG, Fernandes, JC, Feyissa, TR, Fischer, F, Fitzmaurice, C, Fleming, TD, Foigt, N, Foreman, KJ, Forouzanfar, MH, Franklin, RC, Frostad, J, G/hiwot, TT, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gao, W, Garcia-Basteiro, AL, Gebre, T, Gebremedhin, AT, Gebremichael, MW, Gebru, AA, Gelaye, AA, Geleijnse, JM, Genova-Maleras, R, Gibney, KB, Giref, AZ, Gishu, MD, Giussani, G, Godwin, WW, Gold, A, Goldberg, EM, Gona, PN, Goodridge, A, Gopalani, SV, Goto, A, Graetz, N, Greaves, F, Griswold, M, Guban, PI, Gugnani, HC, Gupta, PC, Gupta, R, Gupta, T, Gupta, V, Habtewold, TD, Hafezi-Nejad, N, Haile, D, Hailu, AD, Hailu, GB, Hakuzimana, A, Hamadeh, RR, Hambisa, MT ; https://orcid.org/0000-0003-3193-8053, Hamidi, S, Hammami, M, Hankey, GJ, Hao, Y, Harb, HL, Hareri, HA, Haro, JM, Hassanvand, MS, Havmoeller, R, Hay, RJ, Hay, SI, Hendrie, D, Heredia-Pi, IB, Hoek, HW, Horino, M, Horita, N, Hosgood, HD, Htet, AS, Hu, G, Huang, H, Huang, JJ, Huntley, BM, Huynh, C, Iburg, KM, Ileanu, BV, Innos, K, Irenso, AA, Jahanmehr, N, Jakovljevic, MB, James, P, James, SL, Javanbakht, M, Jayaraman, SP, Jayatilleke, AU, Jeemon, P, Jha, V ; https://orcid.org/0000-0002-8015-9470, John, D, Johnson, C, Johnson, SC, Jonas, JB, Juel, K, Kabir, Z, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, CK, Karimi, SM, Kasaeian, A, Kassebaum, NJ, Kastor, A, Katikireddi, SV, Kazanjan, K, Keiyoro, PN, Kemmer, L, Kemp, AH, Kengne, AP, Kerbo, AA, Kereselidze, M, Kesavachandran, CN, Khader, YS, Khalil, I, Khan, AR, Khan, EA, Khan, G, Khang, Y-H, Khoja, ATA, Khonelidze, I, Khubchandani, J, Kibret, GD, Kim, D, Kim, P, Kim, YJ, Kimokoti, RW, Kinfu, Y, Kissoon, N, Kivipelto, M, Kokubo, Y, Kolk, A, Kolte, D, Kopec, JA, Kosen, S, Koul, PA, Koyanagi, A, Kravchenko, M, Krishnaswami, S, Krohn, KJ, Defo, BK, Bicer, BK, Kuipers, EJ, Kulkarni, VS, Kumar, GA, Kumsa, FA, Kutz, M, Kyu, HH, Lager, ACJ, Lal, A, Lal, DK, Lalloo, R, Lallukka, T, Lan, Q, Langan, SM, Lansingh, VC, Larson, HJ, Larsson, A, Laryea, DO, Latif, AA, Lawrynowicz, AEB, Leasher, JL, Leigh, J, Leinsalu, M, Leshargie, CT, Leung, J ; https://orcid.org/0000-0001-5816-2959, Leung, R, Levi, M, Liang, X, Lim, SS, Lind, M, Linn, S, Lipshultz, SE, Liu, P, Liu, Y, Lo, L-T, Logroscino, G, Lopez, AD, Lorch, SA, Lotufo, PA, Lozano, R, Lunevicius, R, Lyons, RA, Macarayan, ERK, Mackay, MT, El Razek, HMA, El Razek, MMA, Mahdavi, M, Majeed, A, Malekzadeh, R, Malta, DC, Mantovani, LG, Manyazewal, T, Mapoma, CC, Marcenes, W, Marks, GB ; https://orcid.org/0000-0002-8976-8053, Marquez, N, Martinez-Raga, J, Marzan, MB, Massano, J, Mathur, MR, Maulik, PK ; https://orcid.org/0000-0001-6835-6175, Mazidi, M, McAlinden, C, McGrath, JJ, McNellan, C, Meaney, PA, Mehari, A, Mehndiratta, MM, Meier, T, Mekonnen, AB, Meles, KG, Memish, ZA, Mengesha, MM, Mengiste, DT, Mengistie, MA, Menota, BG, Mensah, GA, Mereta, ST, Meretoja, A, Meretoja, TJ, Mezgebe, HB, Micha, R, Millear, A, Mills, EJ, Minnig, S, Mirarefin, M, Mirrakhimov, EM, Mock, CN, Mohammad, KA, Mohammed, S, Mohanty, SK, Mokdad, AH, Mola, GLD, Molokhia, M, Monasta, L, Montico, M, Moradi-Lakeh, M, Moraga, P, Morawska, L, Mori, R, Moses, M, Mueller, UO, Murthy, S, Musa, KI, Nachega, JB, Nagata, C, Nagel, G, Naghavi, M, Naheed, A, Naldi, L, Nangia, V, Nascimento, BR, Negoi, I, Neupane, SP, Newton, CR, Ng, M, Ngalesoni, FN, Ngunjiri, JW, Nguyen, G, Ningrum, DNA, Nolte, S, Nomura, M, Norheim, OF, Norrving, B, Noubiap, JJN, Obermeyer, CM, Ogbo, FA, Oh, I-H, Okoro, A, Oladimeji, O, Olagunju, AT, Olivares, PR, Olsen, HE, Olusanya, BO, Olusanya, JO, Opio, JN, Oren, E, Ortiz, A, Osborne, RH, Osman, M, Owolabi, MO, PA, M, Pain, AW, Pakhale, S, Castillo, EP, Pana, A, Papachristou, C, Parsaeian, M, Patel, T, Patton, GC, Paudel, D, Paul, VK, Pearce, N, Pereira, DM, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Pesudovs, K ; https://orcid.org/0000-0002-6322-9369, Petzold, M, Phillips, MR, Pigott, DM, Pillay, JD, Pinho, C, Polinder, S, Pond, CD, Prakash, V, Purwar, M, Qorbani, M, Quistberg, DA, Radfar, A, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MHU, Rai, RK, Ram, U, Rana, SM, Rankin, Z, Rao, PV, Rao, PC, Rawaf, S, Rego, MAS, Reitsma, M, Remuzzi, G, Renzaho, AMNN, Resnikoff, S ; https://orcid.org/0000-0002-5866-4446, Rezaei, S, Rezai, MS, Ribeiro, AL, Roba, HS, Rokni, MB, Ronfani, L, Roshandel, G, Roth, GA, Rothenbacher, D, Roy, NK, Sachdev, PS ; https://orcid.org/0000-0002-9595-3220, Sackey, BB, Saeedi, MY, Safiri, S, Sagar, R, Sahraian, MA, Saleh, MM, Salomon, JA, Samy, AM, Sanabria, JR, Sanchez-Niño, MD, Sandar, L, Santos, IS, Santos, JV, Milicevic, MMS, Sarmiento-Suarez, R, Sartorius, B, Satpathy, M, Savic, M, Sawhney, M, Saylan, MI, Schöttker, B, Schutte, AE ; https://orcid.org/0000-0001-9217-4937, Schwebel, DC, Seedat, S, Seid, AM, Seifu, CN, Sepanlou, SG, Serdar, B, Servan-Mori, EE, Setegn, T, Shackelford, KA, Shaheen, A, Shahraz, S, Shaikh, MA, Shakh-Nazarova, M, Shamsipour, M, Islam, SMS, Sharma, J, Sharma, R, She, J, Sheikhbahaei, S, Shen, J, Shi, P, Shigematsu, M, Shin, M-J, Shiri, R, Shoman, H, Shrime, MG, Sibamo, ELS, Sigfusdottir, ID, Silva, DAS, Silveira, DGA, Sindi, S, Singh, A, Singh, JA, Singh, OP, Singh, PK, Singh, V, Sinke, AH, Sinshaw, AE, Skirbekk, V, Sliwa, K, Smith, A, Sobngwi, E, Soneji, S, Soriano, JB, Sousa, TCM, Sposato, LA, Sreeramareddy, CT, Stathopoulou, V, Steel, N, Steiner, C, Steinke, S, Stokes, MA, Stranges, S, Strong, M, Stroumpoulis, K, Sturua, L, Sufiyan, MB, Suliankatchi, RA, Sun, J, Sur, P, Swaminathan, S, Sykes, BL, Tabarés-Seisdedos, R, Tabb, KM, Taffere, GR, Talongwa, RT, Tarajia, M, Tavakkoli, M, Taveira, N, Teeple, S, Tegegne, TK, Tehrani-Banihashemi, A, Tekelab, T, Tekle, DY, Shifa, GT, Terkawi, AS, Tesema, AG ; https://orcid.org/0000-0003-0618-4499, Thakur, JS, Thomson, AJ, Tillmann, T, Tiruye, TY, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Tortajada, M, Troeger, C, Truelsen, T, Tura, AK, Uchendu, US, Ukwaja, KN, Undurraga, EA, Uneke, CJ, Uthman, OA, van Boven, JFM, Van Dingenen, R, Varughese, S, Vasankari, T, Venketasubramanian, N, Violante, FS, Vladimirov, SK, Vlassov, VV, Vollset, SE, Vos, T, Wagner, JA, Wakayo, T, Waller, SG, Walson, JL, Wang, H, Wang, Y-P, Watkins, DA, Weiderpass, E, Weintraub, RG, Wen, C-P, Werdecker, A, Wesana, J, Westerman, R, Whiteford, HA, Wilkinson, JD, Wiysonge, CS, Woldeyes, BG, Wolfe, CDA, Won, S, Workicho, A, Workie, SB, Wubshet, M, Xavier, D, Xu, G, Yadav, AK, Yaghoubi, M, Yakob, B, Yan, LL, Yano, Y, Yaseri, M, Yimam, HH, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zambrana-Torrelio, C, Zapata, T, Zenebe, ZM, Zodpey, S, Zoeckler, L, Zuhlke, LJ, Murray, CJL, Barber, RM, Fullman, N, Sorensen, RJD, Bollyky, T, McKee, M, Nolte, E, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulle, AM, Abdurahman, AA, Abera, SF, Abraham, B, Abreha, GF, Adane, K, Adelekan, AL, Adetifa, IMO, Afshin, A, Agarwal, A, Agarwal, SK, Agarwal, S, Agrawal, A, Kiadaliri, AA, Ahmadi, A, Ahmed, KY, Ahmed, MB, Akinyemi, RO, Akinyemiju, TF, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alam, SS, Alemu, ZA, Alene, KA, Alexander, L, Ali, R, Ali, SD, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Martin, EA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Amo-Adjei, J, Amoako, YA, Anderson, BO, Androudi, S, Ansari, H, Ansha, MG, Antonio, CAT, Ärnlöv, J, Artaman, A, Asayesh, H, Assadi, R, Astatkie, A, Atey, TM, Atique, S, Atnafu, NT, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Quintanilla, BPA, Awasthi, A, Ayele, NN, Azzopardi, P, Saleem, HOB, Bärnighausen, T, Bacha, U, Badawi, A, Banerjee, A, Barac, A, Barboza, MA, Barker-Collo, SL, Barrero, LH, Basu, S, Baune, BT, Baye, K, Bayou, YT, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Béjot, Y, Bello, AK, Bennett, DA, Bensenor, IM, Berhane, A, Bernabé, E, Bernal, OA, Beyene, AS, Beyene, TJ, Bhutta, ZA, Biadgilign, S, Bikbov, B, Birlik, SM, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, HM, Bose, D, Brainin, M, Brauer, M, Brazinova, A, Breitborde, NJK, Brenner, H, Butt, ZA, Cárdenas, R, Cahuana-Hurtado, L, Campos-Nonato, IR, Car, J, Carrero, JJ, Casey, D, Caso, V, Castañeda-Orjuela, CA, Rivas, JC, Catalá-López, F, Cecilio, P, Cercy, K, Charlson, FJ, Chen, AZ, Chew, A, Chibalabala, M, Chibueze, CE, Chisumpa, VH, Chitheer, AA, Chowdhury, R, Christensen, H, Christopher, DJ, Ciobanu, LG, Cirillo, M, Coggeshall, MS, Cooper, LT, Cortinovis, M, Crump, JA, Dalal, K, Danawi, H, Dandona, L, Dandona, R, Dargan, PI, das Neves, J, Davey, G, Davitoiu, DV, Davletov, K, De Leo, D, Del Gobbo, LC, del Pozo-Cruz, B, Dellavalle, RP, Deribe, K, Deribew, A, Des Jarlais, DC, Dey, S, Dharmaratne, SD, Dicker, D, Ding, EL, Dokova, K, Dorsey, ER, Doyle, KE, Dubey, M, Ehrenkranz, R, Ellingsen, CL, Elyazar, I, Enayati, A, Ermakov, SP, Eshrati, B, Esteghamati, A, Estep, K, Fürst, T, Faghmous, IDA, Fanuel, FBB, Faraon, EJA, Farid, TA, Farinha, CSES, Faro, A, Farvid, MS, Farzadfar, F, Feigin, VL, Feigl, AB, Fereshtehnejad, S-M, Fernandes, JG, Fernandes, JC, Feyissa, TR, Fischer, F, Fitzmaurice, C, Fleming, TD, Foigt, N, Foreman, KJ, Forouzanfar, MH, Franklin, RC, Frostad, J, G/hiwot, TT, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gao, W, Garcia-Basteiro, AL, Gebre, T, Gebremedhin, AT, Gebremichael, MW, Gebru, AA, Gelaye, AA, Geleijnse, JM, Genova-Maleras, R, Gibney, KB, Giref, AZ, Gishu, MD, Giussani, G, Godwin, WW, Gold, A, Goldberg, EM, Gona, PN, Goodridge, A, Gopalani, SV, Goto, A, Graetz, N, Greaves, F, Griswold, M, Guban, PI, Gugnani, HC, Gupta, PC, Gupta, R, Gupta, T, Gupta, V, Habtewold, TD, Hafezi-Nejad, N, Haile, D, Hailu, AD, Hailu, GB, Hakuzimana, A, Hamadeh, RR, Hambisa, MT ; https://orcid.org/0000-0003-3193-8053, Hamidi, S, Hammami, M, Hankey, GJ, Hao, Y, Harb, HL, Hareri, HA, Haro, JM, Hassanvand, MS, Havmoeller, R, Hay, RJ, Hay, SI, Hendrie, D, Heredia-Pi, IB, Hoek, HW, Horino, M, Horita, N, Hosgood, HD, Htet, AS, Hu, G, Huang, H, Huang, JJ, Huntley, BM, Huynh, C, Iburg, KM, Ileanu, BV, Innos, K, Irenso, AA, Jahanmehr, N, Jakovljevic, MB, James, P, James, SL, Javanbakht, M, Jayaraman, SP, Jayatilleke, AU, Jeemon, P, Jha, V ; https://orcid.org/0000-0002-8015-9470, John, D, Johnson, C, Johnson, SC, Jonas, JB, Juel, K, Kabir, Z, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, CK, Karimi, SM, Kasaeian, A, Kassebaum, NJ, Kastor, A, Katikireddi, SV, Kazanjan, K, Keiyoro, PN, Kemmer, L, Kemp, AH, Kengne, AP, Kerbo, AA, Kereselidze, M, Kesavachandran, CN, Khader, YS, Khalil, I, Khan, AR, Khan, EA, Khan, G, Khang, Y-H, Khoja, ATA, Khonelidze, I, Khubchandani, J, Kibret, GD, Kim, D, Kim, P, Kim, YJ, Kimokoti, RW, Kinfu, Y, Kissoon, N, Kivipelto, M, Kokubo, Y, Kolk, A, Kolte, D, Kopec, JA, Kosen, S, Koul, PA, Koyanagi, A, Kravchenko, M, Krishnaswami, S, Krohn, KJ, Defo, BK, Bicer, BK, Kuipers, EJ, Kulkarni, VS, Kumar, GA, Kumsa, FA, Kutz, M, Kyu, HH, Lager, ACJ, Lal, A, Lal, DK, Lalloo, R, Lallukka, T, Lan, Q, Langan, SM, Lansingh, VC, Larson, HJ, Larsson, A, Laryea, DO, Latif, AA, Lawrynowicz, AEB, Leasher, JL, Leigh, J, Leinsalu, M, Leshargie, CT, Leung, J ; https://orcid.org/0000-0001-5816-2959, Leung, R, Levi, M, Liang, X, Lim, SS, Lind, M, Linn, S, Lipshultz, SE, Liu, P, Liu, Y, Lo, L-T, Logroscino, G, Lopez, AD, Lorch, SA, Lotufo, PA, Lozano, R, Lunevicius, R, Lyons, RA, Macarayan, ERK, Mackay, MT, El Razek, HMA, El Razek, MMA, Mahdavi, M, Majeed, A, Malekzadeh, R, Malta, DC, Mantovani, LG, Manyazewal, T, Mapoma, CC, Marcenes, W, Marks, GB ; https://orcid.org/0000-0002-8976-8053, Marquez, N, Martinez-Raga, J, Marzan, MB, Massano, J, Mathur, MR, Maulik, PK ; https://orcid.org/0000-0001-6835-6175, Mazidi, M, McAlinden, C, McGrath, JJ, McNellan, C, Meaney, PA, Mehari, A, Mehndiratta, MM, Meier, T, Mekonnen, AB, Meles, KG, Memish, ZA, Mengesha, MM, Mengiste, DT, Mengistie, MA, Menota, BG, Mensah, GA, Mereta, ST, Meretoja, A, Meretoja, TJ, Mezgebe, HB, Micha, R, Millear, A, Mills, EJ, Minnig, S, Mirarefin, M, Mirrakhimov, EM, Mock, CN, Mohammad, KA, Mohammed, S, Mohanty, SK, Mokdad, AH, Mola, GLD, Molokhia, M, Monasta, L, Montico, M, Moradi-Lakeh, M, Moraga, P, Morawska, L, Mori, R, Moses, M, Mueller, UO, Murthy, S, Musa, KI, Nachega, JB, Nagata, C, Nagel, G, Naghavi, M, Naheed, A, Naldi, L, Nangia, V, Nascimento, BR, Negoi, I, Neupane, SP, Newton, CR, Ng, M, Ngalesoni, FN, Ngunjiri, JW, Nguyen, G, Ningrum, DNA, Nolte, S, Nomura, M, Norheim, OF, Norrving, B, Noubiap, JJN, Obermeyer, CM, Ogbo, FA, Oh, I-H, Okoro, A, Oladimeji, O, Olagunju, AT, Olivares, PR, Olsen, HE, Olusanya, BO, Olusanya, JO, Opio, JN, Oren, E, Ortiz, A, Osborne, RH, Osman, M, Owolabi, MO, PA, M, Pain, AW, Pakhale, S, Castillo, EP, Pana, A, Papachristou, C, Parsaeian, M, Patel, T, Patton, GC, Paudel, D, Paul, VK, Pearce, N, Pereira, DM, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Pesudovs, K ; https://orcid.org/0000-0002-6322-9369, Petzold, M, Phillips, MR, Pigott, DM, Pillay, JD, Pinho, C, Polinder, S, Pond, CD, Prakash, V, Purwar, M, Qorbani, M, Quistberg, DA, Radfar, A, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MHU, Rai, RK, Ram, U, Rana, SM, Rankin, Z, Rao, PV, Rao, PC, Rawaf, S, Rego, MAS, Reitsma, M, Remuzzi, G, Renzaho, AMNN, Resnikoff, S ; https://orcid.org/0000-0002-5866-4446, Rezaei, S, Rezai, MS, Ribeiro, AL, Roba, HS, Rokni, MB, Ronfani, L, Roshandel, G, Roth, GA, Rothenbacher, D, Roy, NK, Sachdev, PS ; https://orcid.org/0000-0002-9595-3220, Sackey, BB, Saeedi, MY, Safiri, S, Sagar, R, Sahraian, MA, Saleh, MM, Salomon, JA, Samy, AM, Sanabria, JR, Sanchez-Niño, MD, Sandar, L, Santos, IS, Santos, JV, Milicevic, MMS, Sarmiento-Suarez, R, Sartorius, B, Satpathy, M, Savic, M, Sawhney, M, Saylan, MI, Schöttker, B, Schutte, AE ; https://orcid.org/0000-0001-9217-4937, Schwebel, DC, Seedat, S, Seid, AM, Seifu, CN, Sepanlou, SG, Serdar, B, Servan-Mori, EE, Setegn, T, Shackelford, KA, Shaheen, A, Shahraz, S, Shaikh, MA, Shakh-Nazarova, M, Shamsipour, M, Islam, SMS, Sharma, J, Sharma, R, She, J, Sheikhbahaei, S, Shen, J, Shi, P, Shigematsu, M, Shin, M-J, Shiri, R, Shoman, H, Shrime, MG, Sibamo, ELS, Sigfusdottir, ID, Silva, DAS, Silveira, DGA, Sindi, S, Singh, A, Singh, JA, Singh, OP, Singh, PK, Singh, V, Sinke, AH, Sinshaw, AE, Skirbekk, V, Sliwa, K, Smith, A, Sobngwi, E, Soneji, S, Soriano, JB, Sousa, TCM, Sposato, LA, Sreeramareddy, CT, Stathopoulou, V, Steel, N, Steiner, C, Steinke, S, Stokes, MA, Stranges, S, Strong, M, Stroumpoulis, K, Sturua, L, Sufiyan, MB, Suliankatchi, RA, Sun, J, Sur, P, Swaminathan, S, Sykes, BL, Tabarés-Seisdedos, R, Tabb, KM, Taffere, GR, Talongwa, RT, Tarajia, M, Tavakkoli, M, Taveira, N, Teeple, S, Tegegne, TK, Tehrani-Banihashemi, A, Tekelab, T, Tekle, DY, Shifa, GT, Terkawi, AS, Tesema, AG ; 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Abstract: Background National levels of personal health-care access and quality can be approximated by measuring mortality rates from causes that should not be fatal in the presence of effective medical care (ie, amenable mortality). Previous analyses of mortality amenable to health care only focused on high-income countries and faced several methodological challenges. In the present analysis, we use the highly standardised cause of death and risk factor estimates generated through the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to improve and expand the quantification of personal health-care access and quality for 195 countries and territories from 1990 to 2015. Methods We mapped the most widely used list of causes amenable to personal health care developed by Nolte and McKee to 32 GBD causes. We accounted for variations in cause of death certification and misclassifications through the extensive data standardisation processes and redistribution algorithms developed for GBD. To isolate the effects of personal health-care access and quality, we risk-standardised cause-specific mortality rates for each geography-year by removing the joint effects of local environmental and behavioural risks, and adding back the global levels of risk exposure as estimated for GBD 2015. We employed principal component analysis to create a single, interpretable summary measure-the Healthcare Quality and Access (HAQ) Index-on a scale of 0 to 100. The HAQ Index showed strong convergence validity as compared with other health-system indicators, including health expenditure per capita (r=0·88), an index of 11 universal health coverage interventions (r=0·83), and human resources for health per 1000 (r=0·77). We used free disposal hull analysis with bootstrapping to produce a frontier based on the relationship between the HAQ Index and the Socio-demographic Index (SDI), a measure of overall development consisting of income per capita, average years of education, and total fertilit
Published: 2017

18. Advances in surfaces and osseointegration in implantology. Biomimetic surfaces

Author: Albertini, M., primary, Fernandez-Yague, M., additional, Lazaro, P., additional, Herrero-Climent, M., additional, Rios-Santos, JV., additional, Bullon, P., additional, and Gil, FJ., additional
Published: 2015
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19. Burnout, depression and suicidal ideation in dental students

Author: Galan, F., primary, Rios-Santos, JV., additional, Polo, J., additional, Rios-Carrasco, B., additional, and Bullon, P., additional
Published: 2014
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20. Assessment of osstell isq’s reliability for implant stability measurement: A cross-sectional clinical study

Author: Herrero-Climent, M., primary, Santos-Garcia, R., additional, Jaramillo-Santos, R., additional, Romero-Ruiz, MM., additional, Fernandez-Palacin, A., additional, Lazaro-Calvo, P., additional, Bullon, P., additional, and Rios-Santos, JV., additional
Published: 2013
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21. Resonance frequency analysis-reliability in third generation instruments: Osstell mentor

Author: Herrero-Climent, M., primary, Albertini, M., additional, Rios-Santos, JV., additional, Lazaro-Calvo, P., additional, Fernandez-Palacin, A., additional, and Bullon, P., additional
Published: 2012
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22. Job satisfaction and depression in the Spanish Society of Periodontology and Research (SEPA) members, and their relation to the burnout syndrome.Creation of a structural model

Author: Reyes-Torres, M., primary, Rios-Santos, JV., additional, Lopez-Jimenez, A., additional, Herrero-Climent, M., additional, and Bullon, P., additional
Published: 2012
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23. Utility of Periodontal exploration in patients with Fibromyalgia

Author: Santos-Garcia, R., primary, Sanchez-Dominguez, B., additional, Cordero, MD., additional, Rios-Santos, JV., additional, Jaramillo-Santos, MR., additional, Climent, MH., additional, and Bullon, P., additional
Published: 2012
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24. Assessment of periapical status: A comparative study using film-based periapical radiographs and digital panoramic images

Author: Rios-Santos, JV., primary, Ridao-Sacie, C., additional, Bullon, P., additional, Fernandez-Palacin, A., additional, and Segura-Egea, JJ., additional
Published: 2010
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25. Burnout and depression among Spanish periodontology practitioners

Author: Rios-Santos, JV., primary, Reyes-Torres, M., additional, Lopez-Jimenez, A., additional, Morillo-Velazquez, JM., additional, and Bullon, P., additional
Published: 2010
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26. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Roth, Gregory A., Collaborotors, G. B. 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Mohammed, Mohammed, Shafiu, Mohan, Viswanathan, Mokdad, Ali H., Molokhia, Mariam, Monasta, Lorenzo, Moradi, Ghobad, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morawska, Lidia, Velasquez, Ilais Moreno, Morgado-Da-Costa, Joana, Morrison, Shane Douglas, Moschos, Marilita M., Mouodi, Simin, Mousavi, Seyyed Meysam, Muchie, Kindie Eentahun, Mueller, Ulrich Otto, Mukhopadhyay, Satinath, Muller, Kate, Mumford, John Everett, Musa, Jonah, Musa, Kamand Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nachega, Jean B., Nagel, Gabriele, Naheed, Aliya, Nahvijou, Azin, Naik, Gunidatta, Nair, Sanjeev, Najafi, Farid, Naldi, Luigi, Nam, Hae Sung, Nangia, Vinay, Nansseu, Jobert Richie, Nascirnento, Bruno Ramos, Natarajan, Gopalakrishnan, Nearnati, Nahid, Negoi, Ionut, Negoi, Ruxcandra Irina, Nettpane, Subas, Newton, Charles R. J., Ngalesoni, Frida N., Ngunjiri, Josephine W., Anh Quynh Nguyen, Nguyen, Grant, Ha Thu Nguyen, Luong Thanh Nguyen, Long Hoang Nguyen, Nguyen, Minh, Trang Huyen Nguyen, Nichols, Emma, Ningnun, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nixon, Molly R., Nolutshungu, Nomonde, Nomura, Shhhei, Norhelin, Ole F., Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacques, Nouri, Hamid Reza, Shiadeh, Malihe Nourollahpour, Nowroozi, Mohammad Reza, Nyasulu, Peter S., Odell, Christopher M., Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew T., Olivares, Pedro R., Olsen, Helen Elizabeth, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin L., Ong, Sok King Sk, Oren, Eyal, Orpana, Heather M., Ortiz, Alberto, Ortiz, Justin R., Otstavnov, Stanislav S., Overland, Simon, Owolabi, Mayowa Ojo, Ozdemir, Raziye, Mahesh, P. 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Subjects: Adult, Male, Adolescent, national age-sex-specific mortality, UNITED-STATES, Global Health, Socioeconomic Factor, Global Burden of Disease, GBD, causes of death, Young Adult, Age Distribution, Life Expectancy, General & Internal Medicine, Cause of Death, PUBLIC-HEALTH PROBLEM, mortality, 282 causes global burden of disease, Sex Distribution, Child, Aged, Aged, 80 and over, BARRIERS, DEMENTIA, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, TRENDS, PREVENTION, PREVALENCE, ALZHEIMERS-DISEASE, INDIVIDUALS, 3121 General medicine, internal medicine and other clinical medicine, Child, Preschool, REGISTRATION, Female, Human medicine, Human
Abstract: Background Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODErn), to generate cause fractions and cause specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings At the broadest grouping of causes of death (Level 1), non-communicable diseases (NC Ds) comprised the greatest fraction of deaths, contributing to 73.4% (95% uncertainty interval [UI] 72.5-74.1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 186% (17.9-19.6), and injuries 8.0% (7.7-8.2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22.7% (21.5-23.9), representing an additional 7.61 million (7. 20-8.01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7.9% (7.08.8). The number of deaths for CMNN causes decreased by 222% (20.0-24.0) and the death rate by 31.8% (30.1-33.3). Total deaths from injuries increased by 2.3% (0-5-4-0) between 2007 and 2017, and the death rate from injuries decreased by 13.7% (12.2-15.1) to 57.9 deaths (55.9-59.2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118.0% (88.8-148.6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36.4% (32.2-40.6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33.6% (31.2-36.1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respirator}, infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990 neonatal disorders, lower respiratory infections, and diarrhoeal diseases were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

27. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Stanaway, Jeffrey D., Afshin, Ashkan, Gakidou, Emmanuela, Lim, Stephen S., Abate, Degu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abera, Semaw F., Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A., Adane, Akilew Awoke, Adebayo, Oladimeji M., Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O., Adib, Mina G., Admasie, Amha, Adsuar, Jose C., Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Agarwal, Gina, Aggarwal, Anju, Aghayan, Sargis Aghasi, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M., Alahdab, Fares, Alam, Khurshid, Alam, Samiah, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Ali, Komal, Ali, Syed Mustafa, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A., Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antó, Josep M., Antonio, Carl Abelardo T., Anwari, Palwasha, Appiah, Lambert Tetteh, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avokpaho, Euripide F.G.A., Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Ayuk, Tambe B., Azzopardi, Peter S., Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Ball, Kylie, Ballew, Shoshana H., Banach, Maciej, Banoub, Joseph Adel Mattar, Barac, Aleksandra, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H., Basu, Sanjay, Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Bekru, Eyasu Tamru, Belay, Ezra, Belay, Yihalem Abebe, Bell, Michelle L., Bello, Aminu K., Bennett, Derrick A., Bensenor, Isabela M., Bergeron, Gilles, Berhane, Adugnaw, Bernabe, Eduardo, Bernstein, Robert S., Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhalla, Ashish, Bhattarai, Suraj, Bhutta, Zulfiqar A., Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Bisanzio, Donal, Biswas, Tuhin, Bjørge, Tone, Blacker, Brigette F., Bleyer, Archie, Borschmann, Rohan, Bou-Orm, Ibrahim R., Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J., Brauer, Michael, Brazinova, Alexandra, Breitborde, Nicholas J.K., Brenner, Hermann, Briko, Andrey Nikolaevich, Britton, Gabrielle, Brugha, Traolach, Buchbinder, Rachelle, Burnett, Richard T., Busse, Reinhard, Butt, Zahid A., Cahill, Leah E., Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael R., Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J., Carvalho, Félix, Castañeda-Orjuela, Carlos A., Castillo Rivas, Jacqueline, Castro, Franz, Catalá-López, Ferrán, Causey, Kate, Cercy, Kelly M., Cerin, Ester, Chaiah, Yazan, Chang, Hsing Yi, Chang, Jung Chen, Chang, Kai Lan, Charlson, Fiona J., Chattopadhyay, Aparajita, Chattu, Vijay Kumar, Chee, Miao Li, Cheng, Ching Yu, Chew, Adrienne, Chiang, Peggy Pei Chia, Chimed-Ochir, Odgerel, Chin, Ken Lee, Chitheer, Abdulaal, Choi, Jee Young J., Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J., Chung, Sheng Chia, Cicuttini, Flavia M., Cirillo, Massimo, Cohen, Aaron J., Collado-Mateo, Daniel, Cooper, Cyrus, Cooper, Owen R., Coresh, Josef, Cornaby, Leslie, Cortesi, Paolo Angelo, Cortinovis, Monica, Costa, Megan, Cousin, Ewerton, Criqui, Michael H., Cromwell, Elizabeth A., Cundiff, David K., Daba, Alemneh Kabeta, Dachew, Berihun Assefa, Dadi, Abel Fekadu, Damasceno, Albertino Antonio Moura, Dandona, Lalit, Dandona, Rakhi, Darby, Sarah C., Dargan, Paul I., Daryani, Ahmad, Das Gupta, Rajat, Das Neves, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Davitoiu, Dragos Virgil, Davletov, Kairat, De la Cruz-Góngora, Vanessa, De La Hoz, Fernando Pio, De Leo, Diego, De Neve, Jan Walter, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P., Demoz, Gebre Teklemariam, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Deshpande, Aniruddha, Des Jarlais, Don C., Dessie, Getenet Ayalew, Deveber, Gabrielle Aline, Dey, Subhojit, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dinberu, Mesfin Tadese, Ding, Eric L., Diro, Helen Derara, Djalalinia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Doyle, Kerrie E., Driscoll, Tim R., Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B., Duraes, Andre R., Ebert, Natalie, Ebrahimi, Hedyeh, Ebrahimpour, Soheil, Edvardsson, David, Effiong, Andem, Eggen, Anne Elise, El Bcheraoui, Charbel, El-Khatib, Ziad, Elyazar, Iqbal Rf, Enayati, Ahmadali, Endries, Aman Yesuf, Er, Benjamin, Erskine, Holly E., Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fakhim, Hamed, Faramarzi, Mahbobeh, Fareed, Mohammad, Farid, Talha A., Farinha, Carla Sofia E.sá, Farioli, Andrea, Faro, Andre, Farvid, Maryam S., Farzaei, Mohammad Hosein, Fatima, Batool, Fay, Kairsten A., Fazaeli, Ali Akbar, Feigin, Valery L., Feigl, Andrea B., Fereshtehnejad, Seyed Mohammad, Fernandes, Eduarda, Fernandes, Joao C., Ferrara, Giannina, Ferrari, Alize J., Ferreira, Manuela L., Filip, Irina, Finger, Jonas David, Fischer, Florian, Foigt, Nataliya A., Foreman, Kyle J., Fukumoto, Takeshi, Fullman, Nancy, Fürst, Thomas, Furtado, João M., Futran, Neal D., Gall, Seana, Gallus, Silvano, Gamkrelidze, Amiran, Ganji, Morsaleh, Garcia-Basteiro, Alberto L., Gardner, William M., Gebre, Abadi Kahsu, Gebremedhin, Amanuel Tesfay, Gebremichael, Teklu Gebrehiwo, Gelano, Tilayie Feto, Geleijnse, Johanna M., Geramo, Yilma Chisha Dea, Gething, Peter W., Gezae, Kebede Embaye, Ghadimi, Reza, Ghadiri, Keyghobad, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghimire, Mamata, Ghosh, Rakesh, Ghoshal, Aloke Gopal, Giampaoli, Simona, Gill, Paramjit Singh, Gill, Tiffany K., Gillum, Richard F., Ginawi, Ibrahim Abdelmageed, Giussani, Giorgia, Gnedovskaya, Elena V., Godwin, William W., Goli, Srinivas, Gómez-Dantés, Hector, Gona, Philimon N., Gopalani, Sameer Vali, Goulart, Alessandra C., Grada, Ayman, Grams, Morgan E., Grosso, Giuseppe, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gutiérrez, Reyna Alma, Gutiérrez-Torres, Daniela S., Haagsma, Juanita A., Habtewold, Tesfa Dejenie, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hagos, Tekleberhan B., Hailegiyorgis, Tewodros Tesfa, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R., Hamidi, Samer, Handal, Alexis J., Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hawley, Caitlin N., Hay, Simon I., Hedayatizadeh-Omran, Akbar, Heibati, Behzad, Heidari, Behnam, Heidari, Mohsen, Hendrie, Delia, Henok, Andualem, Heredia-Pi, Ileana, Herteliu, Claudiu, Heydarpour, Fatemeh, Heydarpour, Sousan, Hibstu, Desalegn T., Higazi, Tarig B., Hilawe, Esayas Haregot, Hoek, Hans W., Hoffman, Howard J., Hole, Michael K., Homaie Rad, Enayatollah, Hoogar, Praveen, Hosgood, H. Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoy, Damian G., Hsairi, Mohamed, Hsiao, Thomas, Hu, Guoqing, Hu, Howard, Huang, John J., Hussen, Mamusha Aman, Huynh, Chantal K., Iburg, Kim Moesgaard, Ikeda, Nayu, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jackson, Maria D., Jacobsen, Kathryn H., Jahangiry, Leila, Jahanmehr, Nader, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, James, Spencer L., Jassal, Simerjot K., Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S., Jonas, Jost B., Jonnagaddala, Jitendra, Jorjoran Shushtari, Zahra, Joshi, Ankur, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Zubair, Kahsay, Amaha, Kalani, Rizwan, Kanchan, Tanuj, Kant, Surya, Kar, Chittaranjan, Karami, Manoochehr, Karami Matin, Behzad, Karch, André, Karema, Corine, Karimi, Narges, Karimi, Seyed M., Kasaeian, Amir, Kassa, Dessalegn H., Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazemi, Zhila, Karyani, Ali Kazemi, Kefale, Adane Teshome, Keiyoro, Peter Njenga, Kemp, Grant Rodgers, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khafaei, Behzad, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalid, Nauman, Khalil, Ibrahim A., Khan, Gulfaraz, Khan, Muhammad Shahzeb, Khan, Muhammad Ali, Khang, Young Ho, Khater, Mona M., Khazaei, Mohammad, Khazaie, Habibolah, Khoja, Abdullah T., Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Kiadaliri, Aliasghar A., Kiirithio, Daniel N., Kim, Cho Il, Kim, Daniel, Kim, Young Eun, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kivimäki, Mika, Knibbs, Luke D., Knudsen, Ann Kristin Skrindo, Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael A., Krishan, Kewal, Krohn, Kristopher J., Kromhout, Hans, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, G. Anil, Kumar, Manasi, Kuzin, Igor, Kyu, Hmwe Hmwe, Lachat, Carl, Lad, Deepesh P., Lad, Sheetal D., Lafranconi, Alessandra, Lalloo, Ratilal, Lallukka, Tea, Lami, Faris Hasan, Lang, Justin J., Lansingh, Van C., Larson, Samantha Leigh, Latifi, Arman, Lazarus, Jeffrey V., Lee, Paul H., Leigh, James, Leili, Mostafa, Leshargie, Cheru Tesema, Leung, Janni, Levi, Miriam, Lewycka, Sonia, Li, Shanshan, Li, Yichong, Liang, Juan, Liang, Xiaofeng, Liao, Yu, Liben, Misgan Legesse, Lim, Lee Ling, Linn, Shai, Liu, Shiwei, Lodha, Rakesh, Logroscino, Giancarlo, Lopez, Alan D., Lorkowski, Stefan, Lotufo, Paulo A., Lozano, Rafael, Lucas, Tim C.D., Lunevicius, Raimundas, Ma, Stefan, Macarayan, Erlyn Rachelle King, Machado, Ísis Eloah, Madotto, Fabiana, Mai, Hue Thi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Mamun, Abdullah A., Manda, Ana Laura, Manguerra, Helena, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Maravilla, Joemer C., Marcenes, Wagner, Marks, Ashley, Martin, Randall V., Martins, Sheila C.O., Martins-Melo, Francisco Rogerlândio, März, Winfried, Marzan, Melvin B., Massenburg, Benjamin Ballard, Mathur, Manu Raj, Mathur, Prashant, Matsushita, Kunihiro, Maulik, Pallab K., Mazidi, Mohsen, McAlinden, Colm, McGrath, John J., McKee, Martin, Mehrotra, Ravi, Mehta, Kala M., Mehta, Varshil, Meier, Toni, Mekonnen, Fantahun Ayenew, Melaku, Yohannes A., Melese, Addisu, Melku, Mulugeta, Memiah, Peter T.N., Memish, Ziad A., Mendoza, Walter, Mengistu, Desalegn Tadese, Mensah, George A., Mensink, Gert B.M., Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J., Mestrovic, Tomislav, Mezgebe, Haftay Berhane, Miazgowski, Bartosz, Miazgowski, Tomasz, Millear, Anoushka I., Miller, Ted R., Miller-Petrie, Molly Katherine, Mini, G. K., Mirarefin, Mojde, Mirica, Andreea, Mirrakhimov, Erkin M., Misganaw, Awoke Temesgen, Mitiku, Habtamu, Moazen, Babak, Mohajer, Bahram, Mohammad, Karzan Abdulmuhsin, Mohammadi, Moslem, Mohammadifard, Noushin, Mohammadnia-Afrouzi, Mousa, Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H., Molokhia, Mariam, Momeniha, Fatemeh, Monasta, Lorenzo, Moodley, Yoshan, Moradi, Ghobad, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morawska, Lidia, Morgado-Da-Costa, Joana, Morrison, Shane Douglas, Moschos, Marilita M., Mouodi, Simin, Mousavi, Seyyed Meysam, Mozaffarian, Dariush, Mruts, Kalayu Brhane, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Muhammed, Oumer Sada, Mukhopadhyay, Satinath, Muller, Kate, Musa, Kamarul Imran, Mustafa, Ghulam, Nabhan, Ashraf F., Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Naik, Nitish, Najafi, Farid, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramos, Neal, Bruce, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Subas, Newton, Charles Richard James, Ngunjiri, Josephine W., Nguyen, Anh Quynh, Nguyen, Grant, Nguyen, Ha Thu, Nguyen, Huong Lan Thi, Nguyen, Huong Thanh, Nguyen, Minh, Nguyen, Nam Ba, Nichols, Emma, Nie, Jing, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nishi, Nobuo, Nixon, Molly R., Nojomi, Marzieh, Nomura, Shuhei, Norheim, Ole F., Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacques, Nouri, Hamid Reza, Nourollahpour Shiadeh, Malihe, Nowroozi, Mohammad Reza, Nsoesie, Elaine O., Nyasulu, Peter S., Obermeyer, Carla M., Odell, Christopher M., Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew T., Olagunju, Tinuke O., Olivares, Pedro R., Olsen, Helen Elizabeth, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin L., Ong, Sok King, Oren, Eyal, Orpana, Heather M., Ortiz, Alberto, Ota, Erika, Otstavnov, Stanislav S., Øverland, Simon, Owolabi, Mayowa Ojo, P A, Mahesh, Pacella, Rosana, Pakhare, Abhijit P., Pakpour, Amir H., Pana, Adrian, Panda-Jonas, Songhomitra, Park, Eun Kee, Parry, Charles D.H., Parsian, Hadi, Patel, Shanti, Pati, Sanghamitra, Patil, Snehal T., Patle, Ajay, Patton, George C., Paudel, Deepak, Paulson, Katherine R., Paz Ballesteros, Wayra Citlali, Pearce, Neil, Pereira, Alexandre, Pereira, David M., Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Pham, Hai Quang, Phillips, Michael R., Pillay, Julian David, Piradov, Michael A., Pirsaheb, Meghdad, Pischon, Tobias, Pishgar, Farhad, Plana-Ripoll, Oleguer, Plass, Dietrich, Polinder, Suzanne, Polkinghorne, Kevan R., Postma, Maarten J., Poulton, Richie, Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Prakash, Swayam, Prasad, Narayan, Purcell, Caroline A., Purwar, Manorama B., Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Zohreh, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz ur, Rahman, Muhammad Aziz, Rai, Rajesh Kumar, Rajati, Fatemeh, Rajsic, Sasa, Raju, Sree Bhushan, Ram, Usha, Ranabhat, Chhabi Lal, Ranjan, Prabhat, Rath, Goura Kishor, Rawaf, David Laith, Rawaf, Salman, Reddy, K. Srinath, Rehm, Colin D., Rehm, Jürgen, Reiner, Robert C., Reitsma, Marissa B., Remuzzi, Giuseppe, Renzaho, Andre M.N., Resnikoff, Serge, Reynales-Shigematsu, Luz Myriam, Rezaei, Satar, Ribeiro, Antonio Luiz P., Rivera, Juan A., Roba, Kedir Teji, Rodríguez-Ramírez, Sonia, Roever, Leonardo, Román, Yesenia, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Roth, Gregory A., Rothenbacher, Dietrich, Roy, Ambuj, Rubagotti, Enrico, Rushton, Lesley, Sabanayagam, Charumathi, Sachdev, Perminder S., Saddik, Basema, Sadeghi, Ehsan, Saeedi Moghaddam, Sahar, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salam, Nasir, Salamati, Payman, Saleem, Zikria, Salimi, Yahya, Salimzadeh, Hamideh, Salomon, Joshua A., Salvi, Devashri Digvijay, Salz, Inbal, Samy, Abdallah M., Sanabria, Juan, Sanchez-Niño, Maria Dolores, Sánchez-Pimienta, Tania G., Sanders, Taren, Sang, Yingying, Santomauro, Damian Francesco, Santos, Itamar S., Santos, João Vasco, Santric Milicevic, Milena M., Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarmiento-Suárez, Rodrigo, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Sawant, Arundhati R., Sawhney, Monika, Saylan, Mete, Sayyah, Mehdi, Schaeffner, Elke, Schmidt, Maria Inês, Schneider, Ione J.C., Schöttker, Ben, Schutte, Aletta Elisabeth, Schwebel, David C., Schwendicke, Falk, Scott, James G., Seedat, Soraya, Sekerija, Mario, Sepanlou, Sadaf G., Serre, Marc L., Serván-Mori, Edson, Seyedmousavi, Seyedmojtaba, Shabaninejad, Hosein, Shaddick, Gavin, Shafieesabet, Azadeh, Shahbazi, Mehdi, Shaheen, Amira A., Shaikh, Masood Ali, Shamah Levy, Teresa, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Sharafi, Heidar, Sharafi, Kiomars, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharifi, Hamid, Sharma, Jayendra, Sharma, Meenakshi, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shi, Peilin, Shibuya, Kenji, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shin, Min Jeong, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shokraneh, Farhad, Shoman, Haitham, Shrime, Mark G., Shupler, Matthew S., Si, Si, Siabani, Soraya, Sibai, Abla Mehio, Siddiqi, Tariq J., Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Singh, Jasvinder A., Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Skirbekk, Vegard, Smith, David L., Smith, Mari, Sobaih, Badr Hasan, Sobhani, Soheila, Somayaji, Ranjani, Soofi, Moslem, Sorensen, Reed J.D., Soriano, Joan B., Soyiri, Ireneous N., Spinelli, Angela, Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Srinivasan, Vinay, Starodubov, Vladimir I., Steckling, Nadine, Stein, Dan J., Stein, Murray B., Stevanovic, Goran, Stockfelt, Leo, Stokes, Mark A., Sturua, Lela, Subart, Michelle L., Sudaryanto, Agus, Sufiyan, Mu'awiyyah Babale, Sulo, Gerhard, Sunguya, Bruno F., Sur, Patrick John, Sykes, Bryan L., Szoeke, Cassandra E.I., Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadakamadla, Santosh Kumar, Takahashi, Ken, Tandon, Nikhil, Tassew, Segen Gebremeskel, Tavakkoli, Mohammad, Taveira, Nuno, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekelemedhin, Shishay Wahdey, Tekle, Merhawi Gebremedhin, Temesgen, Habtamu, Temsah, Mohamad Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Tessema, Belay, Teweldemedhin, Mebrahtu, Thankappan, Kavumpurathu Raman, Theis, Andrew, Thirunavukkarasu, Sathish, Thomas, Hannah J., Thomas, Matthew Lloyd, Thomas, Nihal, Thurston, George D., Tilahun, Binyam, Tillmann, Taavi, To, Quyen G., Tobollik, Myriam, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna E., Tortajada-Girbés, Miguel, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Towbin, Jeffrey A., Tran, Bach Xuan, Tran, Khanh Bao, Truelsen, Thomas Clement, Truong, Nu Thi, Tsadik, Afewerki Gebremeskel, Tudor Car, Lorainne, Tuzcu, E. Murat, Tymeson, Hayley D., Tyrovolas, Stefanos, Ukwaja, Kingsley N., Ullah, Irfan, Updike, Rachel L., Usman, Muhammad Shariq, Uthman, Olalekan A., Vaduganathan, Muthiah, Vaezi, Afsane, Valdez, Pascual R., Van Donkelaar, Aaron, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Venkateswaran, Vidhya, Venketasubramanian, Narayanaswamy, Villafaina, Santos, Violante, Francesco S., Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vu, Giang Thu, Vujcic, Isidora S., Wagnew, Fasil Shiferaw, Waheed, Yasir, Waller, Stephen G., Walson, Judd L., Wang, Yafeng, Wang, Yanping, Wang, Yuan Pang, Weiderpass, Elisabete, Weintraub, Robert G., Weldegebreal, Fitsum, Werdecker, Andrea, Werkneh, Adhena Ayaliew, West, J. 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Hsiao, Thoma, Hu, Guoqing, Hu, Howard, Huang, John J, Hussen, Mamusha Aman, Huynh, Chantal K, Iburg, Kim Moesgaard, Ikeda, Nayu, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jackson, Maria D, Jacobsen, Kathryn H, Jahangiry, Leila, Jahanmehr, Nader, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, James, Spencer L, Jassal, Simerjot K, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Jonas, Jost B, Jonnagaddala, Jitendra, Jorjoran Shushtari, Zahra, Joshi, Ankur, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Zubair, Kahsay, Amaha, Kalani, Rizwan, Kanchan, Tanuj, Kant, Surya, Kar, Chittaranjan, Karami, Manoochehr, Karami Matin, Behzad, Karch, André, Karema, Corine, Karimi, Narge, Karimi, Seyed M, Kasaeian, Amir, Kassa, Dessalegn H, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J, Katikireddi, Srinivasa Vittal, Kaul, Anil, 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Anil, Kumar, Manasi, Kuzin, Igor, Kyu, Hmwe Hmwe, Lachat, Carl, Lad, Deepesh P, Lad, Sheetal D, Lafranconi, Alessandra, Lalloo, Ratilal, Lallukka, Tea, Lami, Faris Hasan, Lang, Justin J, Lansingh, Van C, Larson, Samantha Leigh, Latifi, Arman, Lazarus, Jeffrey V, Lee, Paul H, Leigh, Jame, Leili, Mostafa, Leshargie, Cheru Tesema, Leung, Janni, Levi, Miriam, Lewycka, Sonia, Li, Shanshan, Li, Yichong, Liang, Juan, Liang, Xiaofeng, Liao, Yu, Liben, Misgan Legesse, Lim, Lee-Ling, Linn, Shai, Liu, Shiwei, Lodha, Rakesh, Logroscino, Giancarlo, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Tim C D, Lunevicius, Raimunda, Ma, Stefan, Macarayan, Erlyn Rachelle King, Machado, Ísis Eloah, Madotto, Fabiana, Mai, Hue Thi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Mamun, Abdullah A, Manda, Ana-Laura, Manguerra, Helena, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Maravilla, Joemer C, Marcenes, Wagner, Marks, Ashley, 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Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H, Molokhia, Mariam, Momeniha, Fatemeh, Monasta, Lorenzo, Moodley, Yoshan, Moradi, Ghobad, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morawska, Lidia, Morgado-Da-Costa, Joana, Morrison, Shane Dougla, Moschos, Marilita M, Mouodi, Simin, Mousavi, Seyyed Meysam, Mozaffarian, Dariush, Mruts, Kalayu Brhane, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Muhammed, Oumer Sada, Mukhopadhyay, Satinath, Muller, Kate, Musa, Kamarul Imran, Mustafa, Ghulam, Nabhan, Ashraf F, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Naik, Nitish, Najafi, Farid, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramo, Neal, Bruce, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Suba, Newton, Charles Richard Jame, Ngunjiri, Josephine W, Nguyen, Anh Quynh, Nguyen, Grant, Nguyen, Ha Thu, Nguyen, Huong Lan Thi, Nguyen, Huong Thanh, Nguyen, Minh, Nguyen, Nam Ba, Nichols, Emma, Nie, Jing, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nishi, Nobuo, Nixon, Molly R, Nojomi, Marzieh, Nomura, Shuhei, Norheim, Ole F, Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacque, Nouri, Hamid Reza, Nourollahpour Shiadeh, Malihe, Nowroozi, Mohammad Reza, Nsoesie, Elaine O, Nyasulu, Peter S, Obermeyer, Carla M, Odell, Christopher M, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Olsen, Helen Elizabeth, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin L, Ong, Sok King, Oren, Eyal, Orpana, Heather M, Ortiz, Alberto, Ota, Erika, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa Ojo, P A, Mahesh, Pacella, Rosana, Pakhare, Abhijit P, Pakpour, Amir H, Pana, Adrian, Panda-Jonas, Songhomitra, Park, Eun-Kee, Parry, Charles D H, Parsian, Hadi, Patel, Shanti, Pati, Sanghamitra, Patil, Snehal T, Patle, Ajay, Patton, George C, Paudel, Deepak, Paulson, Katherine R, Paz Ballesteros, Wayra 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N, Resnikoff, Serge, Reynales-Shigematsu, Luz Myriam, Rezaei, Satar, Ribeiro, Antonio Luiz P, Rivera, Juan A, Roba, Kedir Teji, Rodríguez-Ramírez, Sonia, Roever, Leonardo, Román, Yesenia, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Roth, Gregory A, Rothenbacher, Dietrich, Roy, Ambuj, Rubagotti, Enrico, Rushton, Lesley, Sabanayagam, Charumathi, Sachdev, Perminder S, Saddik, Basema, Sadeghi, Ehsan, Saeedi Moghaddam, Sahar, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salam, Nasir, Salamati, Payman, Saleem, Zikria, Salimi, Yahya, Salimzadeh, Hamideh, Salomon, Joshua A, Salvi, Devashri Digvijay, Salz, Inbal, Samy, Abdallah M, Sanabria, Juan, Sanchez-Niño, Maria Dolore, Sánchez-Pimienta, Tania G, Sanders, Taren, Sang, Yingying, Santomauro, Damian Francesco, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarmiento-Suárez, Rodrigo, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Sawant, Arundhati R, Sawhney, Monika, Saylan, Mete, Sayyah, Mehdi, Schaeffner, Elke, Schmidt, Maria Inê, Schneider, Ione J C, Schöttker, Ben, Schutte, Aletta Elisabeth, Schwebel, David C, Schwendicke, Falk, Scott, James G, Seedat, Soraya, Sekerija, Mario, Sepanlou, Sadaf G, Serre, Marc L, Serván-Mori, Edson, Seyedmousavi, Seyedmojtaba, Shabaninejad, Hosein, Shaddick, Gavin, Shafieesabet, Azadeh, Shahbazi, Mehdi, Shaheen, Amira A, Shaikh, Masood Ali, Shamah Levy, Teresa, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Sharafi, Heidar, Sharafi, Kiomar, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharifi, Hamid, Sharma, Jayendra, Sharma, Meenakshi, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shi, Peilin, Shibuya, Kenji, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, 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Muthiah, Vaezi, Afsane, Valdez, Pascual R, Van Donkelaar, Aaron, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Venkateswaran, Vidhya, Venketasubramanian, Narayanaswamy, Villafaina, Santo, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vu, Giang Thu, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Waller, Stephen G, Walson, Judd L, Wang, Yafeng, Wang, Yanping, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weldegebreal, Fitsum, Werdecker, Andrea, Werkneh, Adhena Ayaliew, West, J Jason, Westerman, Ronny, Whiteford, Harvey A, Widecka, Justyna, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wiyeh, Alison B, Wiysonge, Charles Shey, Wolfe, Charles D A, Wong, Tien Yin, Wu, Shouling, Xavier, Deni, Xu, Gelin, Yadgir, Simon, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yamada, Tomohide, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zavala-Arciniega, Lui, Zhang, Anthony Lin, Zhang, Hao, Zhang, Kai, Zhou, Maigeng, Zimsen, Stephanie R M, Zodpey, Sanjay, and Murray, Christopher J L
Subjects: Science & Technology, GBD, risks, risk factors, comparative risk assesment, Dalys, Medicine (all), CHOLESTEROL, BLOOD-PRESSURE, 11 Medical And Health Sciences, ILLNESS, TRENDS, humanities, Medicine, General & Internal, TOBACCO CONTROL, General & Internal Medicine, parasitic diseases, Medicine and Health Sciences, CARDIOVASCULAR-DISEASES, TRIAL, Human medicine, Life Sciences & Biomedicine, METAANALYSIS
Abstract: Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk–outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk–outcome pairs, and new data on risk exposure levels and risk– outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk–outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017. Findings In 2017, 34·1 million (95% uncertainty interval [UI] 33·3–35·0) deaths and 1·21 billion (1·14–1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6–62·4) of deaths and 48·3% (46·3–50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39–11·5) deaths and 218 million (198–237) DALYs, followed by smoking (7·10 million [6·83–7·37] deaths and 182 million [173–193] DALYs), high fasting plasma glucose (6·53 million [5·23–8·23] deaths and 171 million [144–201] DALYs), high body-mass index (BMI; 4·72 million [2·99–6·70] deaths and 148 million [98·6–202] DALYs), and short gestation for birthweight (1·43 million [1·36–1·51] deaths and 139 million [131–147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3–6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low. Lancet 2018; 392: 1923–94 *Collaborators listed at the end of the paper Correspondence to: Prof Christopher J L Murray, Institute for Health Metrics and Evalution, Seattle, WA 98121, USA cjlm@uw.edu Global Health Metrics 1924 www.thelancet.com Vol 392 November 10, 2018 Interpretation By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning.
Published: 2018

28. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: James, Spencer L., Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M., Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Zegeye, Abera, Semaw F., Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen M. E., Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N., Adamu, Abdu A., Adebayo, Oladimeji M., Adekanmbi, Victor, Adetokunboh, Olatunji O., Adib, Mina G., Adsuar, Jose C., Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M., Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M., Al-Raddadi, Rajaa M., Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alouani, Mohamed M. L., Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Aminde, Leopold N., Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Arabloo, Jalal, Arauz, Antonio, Aremu, Olatunde, Ariani, Filippo, Armoon, Bahroom, Ärnlöv, Johan, Arora, Amit, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Asghar, Rana Jawad, Ataro, Zerihun, Atre, Sachin R., Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F. G. A., Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S., Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Bali, Ayele Geleto, Ballesteros, Katherine E., Ballew, Shoshana H., Banach, Maciej, Banoub, Joseph Adel Mattar, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A., Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H., Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Belachew, Abate Bekele, Belay, Yihalem Abebe, Bell, Michelle L., Bello, Aminu K., Bensenor, Isabela M., Bernabe, Eduardo, Bernstein, Robert S., Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A., Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Bisanzio, Donal, Blacker, Brigette F., Blyth, Fiona M., Bou-Orm, Ibrahim R., Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J., Brainin, Michael, Brant, Luisa C., Brazinova, Alexandra, Breitborde, Nicholas J. 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Marzan, Mb, Mashamba-Thompson, Tp, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mehndiratta, Mm, Mehta, Km, Memiah, Ptn, Memish, Za, Mengistu, Dt, Mensah, Ga, Mereta, St, Meretoja, Tj, Mezerji, Nmg, Millear, Ai, Miller, Tr, Mini, Gk, Mirrakhimov, Em, Misganaw, At, Mitchell, Pb, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Morrison, Sd, Moschos, Mm, Mousavi, Sm, Mruts, Kb, Muche, Aa, Muchie, Kf, Mueller, Uo, Mumford, Je, Musa, Ki, Nabhan, Af, Nansseu, Jr, Nascimento, Br, Negoi, Ri, Newton, Crj, Ngunjiri, Jw, Nguyen, Aq, Nguyen, Ht, Nguyen, Hlt, Nguyen, Lh, Nguyen, Nb, Nguyen, Sh, Ningrum, Dna, Nixon, Mr, Norheim, Of, Noubiap, Jj, Nouri, Hr, Nowroozi, Mr, Nsoesie, Eo, Odell, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olagunju, To, Olivares, Pr, Olsen, He, Olusanya, Bo, Ong, Kl, Ong, Sk, Owolabi, Mo, Pakpour, Ah, Park, Ek, Parry, Cdh, Patil, St, Patton, Gc, Paturi, Vr, Paulson, Kr, Pereira, Dm, Pham, Hq, Phillips, Mr, Pigott, Dm, Pillay, Jd, Piradov, Ma, Postma, Mj, Purcell, Ca, Purwar, Mb, 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Mehdi, Yasin, Yasin Jemal, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zare, Zohreh, Zeleke, Ayalew Jejaw, Zenebe, Zerihun Menlkalew, Zhang, Kai, Zhao, Zheng, Zhou, Maigeng, Zodpey, Sanjay, Zucker, Inbar, Vos, Theo, and Murray, Christopher J L
Subjects: YLDs, global burden of disease, General & Internal Medicine, Medicine (all), prevalence, incidence, Human medicine, global burden of disease, YLDs, incidence, prevalence, GBD, years lived with disability
Abstract: Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. Methods We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting. Findings Globally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 39% (95% uncertainty interval [UI] 3.1-4. 6) from 1990 to 2017; however, the all-age YLD rate increased by 7.2% (6.0-8.4) while the total sum of global YLDs increased from 562 million (421-723) to 853 million (642-1100). The increases for males and females were similar, with increases in all-age YLD rates of 7.9% (6 6-9. 2) for males and 6.5% (5.4-7.7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782-3252] per 100 000 in males vs 1400 [1279-1524] per 100 000 in females), transport injuries (3322 [3082-3583] vs 2336 [2154-2535]), and self-hatin and interpersonal violence (3265 [2943-3630] vs 5643 [5057-6302]). Interpretation Global all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

29. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asadi-Lari, 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Satinath, Mullany, Erin C, Muller, Kate, Murhekar, Manoj, Murphy, Tasha B, Murthy, G.V.S., Murthy, Sriniva, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nachega, Jean B, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Nair, Sanjeev, Najafi, Farid, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramo, Nawaz, Haseeb, Ncama, Busisiwe P, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Suba, Newton, Charles Richard Jame, Ngalesoni, Frida N, Ngunjiri, Josephine W, Nguyen, Ha Thu, Nguyen, Huong Thanh, Nguyen, Long Hoang, Nguyen, Michele, Nguyen, Trang Huyen, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nisar, Muhammad Imran, Nixon, Molly R, Nolutshungu, Nomonde, Nomura, Shuhei, Norheim, Ole F, Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacque, Nouri, Hamid Reza, Nourollahpour Shiadeh, Malihe, Nowroozi, Mohammad Reza, Nsoesie, Elaine O, Nyasulu, Peter S, Ofori-Asenso, Richard, Ogah, Okechukwu Samuel, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Sok King, Opio, John Nelson, Oren, Eyal, Ortiz, Justin R, Ortiz, Alberto, Ota, Erika, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa Ojo, Oyekale, Abayomi Samuel, P A, Mahesh, Pacella, Rosana, Pakhale, Smita, Pakhare, Abhijit P, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Pandey, Achyut Raj, Pandian, Jeyaraj Durai, Parisi, Andrea, Park, Eun-Kee, Parry, Charles D H, Parsian, Hadi, Patel, Shanti, Patle, Ajay, Patten, Scott B, Patton, George C, Paudel, Deepak, Pearce, Neil, Peprah, Emmanuel K, Pereira, Alexandre, Pereira, David M, Perez, Krystle M, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Petri, William A, Petzold, Max, Phillips, Michael R, Pigott, David M, Pillay, Julian David, Pirsaheb, Meghdad, Pishgar, Farhad, Plass, Dietrich, Polinder, Suzanne, Pond, Constance Dimity, Popova, Svetlana, Postma, Maarten J, Pourmalek, Farshad, Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Prakash, V., Prakash, Swayam, Prasad, Narayan, Qorbani, Mostafa, Quistberg, D Alex, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Sajjad ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Rajsic, Sasa, Raju, Sree Bhushan, Ram, Usha, Ranabhat, Chhabi Lal, Ranjan, Prabhat, Ranta, Anna, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Ray, Sarah E, Razo-García, Christian, Rego, Maria Albertina Santiago, Rehm, Jürgen, Reiner, Robert C, Reinig, Nickola, Reis, Cesar, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezaeian, Shahab, Rezai, Mohammad Sadegh, Riahi, Seyed Mohammad, Ribeiro, Antonio Luiz P, Riojas, Horacio, Rios-Blancas, Maria Jesu, Roba, Kedir Teji, Robinson, Stephen R, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Roshchin, Denis O, Rostami, Ali, Rothenbacher, Dietrich, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Sabde, Yogesh Damodar, Sachdev, Perminder S, Saddik, Basema, Sadeghi, Ehsan, Moghaddam, Sahar Saeedi, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salahshoor, Mohamadreza, Salam, Nasir, Salama, Joseph S, Salamati, Payman, Saldanha, Raphael de Freita, Salimi, Yahya, Salimzadeh, Hamideh, Salz, Inbal, Sambala, Evanson Zondani, Samy, Abdallah M, Sanabria, Juan, Sanchez-Niño, Maria Dolore, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Savic, Miloje, Sawant, Arundhati R, Sawhney, Monika, Saxena, Sonia, Sayyah, Mehdi, Scaria, Vinod, Schaeffner, Elke, Schelonka, Kathryn, Schmidt, Maria Inê, Schneider, Ione J C, Schöttker, Ben, Schutte, Aletta Elisabeth, Schwebel, David C, Schwendicke, Falk, Scott, James G, Sekerija, Mario, Sepanlou, Sadaf G, Serván-Mori, Edson, Shabaninejad, Hosein, Shackelford, Katya Anne, Shafieesabet, Azadeh, Shaheen, Amira A, Shaikh, Masood Ali, Shakir, Raad A, Shams-Beyranvand, Mehran, Shamsi, MohammadBagher, Shamsizadeh, Morteza, Sharafi, Heidar, Sharafi, Kiomar, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharma, Meenakshi, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Sheth, Kevin N, Shi, Peilin, Shibuya, Kenji, Shifa, Girma Temam, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shokraneh, Farhad, Shrime, Mark G, Shukla, Sharvari Rahul, Si, Si, Siabani, Soraya, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silpakit, Nari, Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singam, Narayana Sarma Venkata, Singh, Jasvinder A, Singh, Virendra, Sinha, Anju Pradhan, Sinha, Dhirendra Narain, Sitas, Freddy, Skirbekk, Vegard, Sliwa, Karen, Soares Filho, Adauto Martin, Sobaih, Badr Hasan, Sobhani, Soheila, Soofi, Moslem, Soriano, Joan B, Soyiri, Ireneous N, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Srivastava, Rakesh Kumar, Starodubov, Vladimir I, Stathopoulou, Vasiliki, Steel, Nichola, Stein, Dan J, Steiner, Caitlyn, Stewart, Leo G, Stokes, Mark A, Sudaryanto, Agu, Sufiyan, Mu'awiyyah Babale, Sulo, Gerhard, Sunguya, Bruno F, Sur, Patrick John, Sutradhar, Ipsita, Sykes, Bryan L, Sylaja, P.N., Sylte, Dillon O, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadakamadla, Santosh Kumar, Takahashi, Ken, Tandon, Nikhil, Tassew, Aberash Abay, Tassew, Segen Gebremeskel, Tavakkoli, Mohammad, Taveira, Nuno, Tawye, Nega Yimer, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekle, Merhawi Gebremedhin, Temesgen, Habtamu, Temsah, Mohamad-Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Teshale, Manaye Yihune, Tessema, Belay, Teweldemedhin, Mebrahtu, Thakur, Jarnail Singh, Thankappan, Kavumpurathu Raman, Thirunavukkarasu, Sathish, Thomas, Laura Anne, Thomas, Nihal, Thrift, Amanda G, Tilahun, Binyam, To, Quyen G, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Torre, Anna E, Tortajada-Girbés, Miguel, Tovani-Palone, Marcos Roberto, Towbin, Jeffrey A, Tran, Bach Xuan, Tran, Khanh Bao, Tripathi, Suryakant, Tripathy, Srikanth Prasad, Truelsen, Thomas Clement, Truong, Nu Thi, Tsadik, Afewerki Gebremeskel, Tsilimparis, Nikolao, Tudor Car, Lorainne, Tuzcu, E Murat, Tyrovolas, Stefano, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Usman, Muhammad Shariq, Uthman, Olalekan A, Uzun, Selen Begüm, Vaduganathan, Muthiah, Vaezi, Afsane, Vaidya, Gaurang, Valdez, Pascual R, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Vasconcelos, Ana Maria Nogale, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Villafaina, Santo, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vujcic, Isidora S, Wagner, Gregory R, Wagnew, Fasil Wagnew Shiferaw, Waheed, Yasir, Wang, Yanping, Wang, Yuan-Pang, Wassie, Molla Mesele, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Weiss, Jordan, Weldegebreal, Fitsum, Weldegwergs, Kidu Gidey, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Widecka, Justyna, Widecka, Katarzyna, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wolfe, Charles D A, Wondemagegn, Sintayehu Ambachew, Wu, Shouling, Wyper, Grant M A, Xu, Gelin, Yadav, Rajaram, Yakob, Bereket, Yamada, Tomohide, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Ye, Pengpeng, Yearwood, Jamal A, Yentür, Gökalp Kadri, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, York, Hunter W, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zachariah, Geevar, Zadnik, Vesna, Zafar, Shamsa, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zare, Zohreh, Zeeb, Hajo, Zeleke, Mulugeta Molla, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Kai, Zhang, Xueying, Zhou, Maigeng, Zhu, Jun, Zodpey, Sanjay, Zucker, Inbar, Zuhlke, Liesl Joanna J, Lopez, Alan D, Gakidou, Emmanuela, and Murray, Christopher J L
Subjects: Child mortality, Alnæmi, Dánartíðni, Heilsufar, GBD, Börn, Dauði, Almennar lyflækningar, Fullorðnir, General & Internal Medicine, parasitic diseases, Psychology, age-specific mortality, Estimating adult mortality, Medicine (all), HIV, 11 Medical And Health Sciences, General Medicine, All-cause mortality, humanities, Countries, Death, mortality, national, Sálfræði, Health, GBD, mortality, Human medicine, Trends
Abstract: The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Data for this research was provided by MEASURE Evaluation, funded by the United States Agency for International Development (USAID). Views expressed do not necessarily reflect those of USAID, the US Government, or MEASURE Evaluation. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with licence no. 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., Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing., Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the University of Melbourne, Public Health England, the Norwegian Institute of Public Health, St. Jude Children's Research Hospital, the National Institute on Aging of the National Institutes of Health (award P30AG047845), and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163).
Published: 2018
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30. Gamma knife radiosurgery for patients with jugular foramen schwannomas: systematic review and meta-analysis.

Author: Ribeiro FV, Sousa MP, Palavani LB, Andreão FF, Feitosa Filho HN, Cardoso LJC, Fukunaga CK, Mancilha M, Coelho DN, Silva YP, Gonçalves OR, Dantas Dos Santos JV, Ferreira MY, Bertani R, Polverini AD, and Brito HN
Subjects: Humans, Treatment Outcome, Skull Base Neoplasms surgery, Radiosurgery methods, Neurilemmoma surgery, Jugular Foramina
Abstract: Resection has traditionally been the gold standard for treating jugular foramen schwannomas (JFSs). However, given the high risk of neurological deficits associated with surgical intervention, stereotactic radiosurgery (SRS) has emerged as a promising alternative. Despite its growing popularity for other brain tumors, there remains a paucity of data on the outcomes of SRS for JFSs. This study aims to assess the safety and efficacy of SRS as a treatment option for patients with JFSs. We searched Medline, Embase, and Web of Science databases following PRISMA guidelines. Eligible studies included randomized controlled trials and observational studies reporting ≥ 4 JFS patients treated with gamma knife radiosurgery. Comparative analysis with 95% confidence intervals (CI) under a random-effects model was utilized to pool the data. A single-arm meta-analysis evaluated tumor control, neurological deficits, and complications. The analysis included 16 studies with 348 patients and a median follow-up of 33 months. Results demonstrated a 98% (CI: 95 - 100%) rate of tumor control, a 39% (CI: 23-54%) rate of tumor shrinking, and a 19% (CI: 13-26%) rate of neurological deficits. New cranial nerve deficits occurred in 34% of patients (CI: 27-41%). SRS demonstrated a high tumor control rate for jugular foramen schwannomas. However, complications remain significant, with neurological deficits and new cranial nerve deficits post Gamma Knife radiosurgery (GKRS). These findings underscore the need for further studies, including comparative analyses between SRS and surgical resection, to better delineate the risk-benefit profile of these treatment modalities., Competing Interests: Declarations. Ethical approval: Not applicable. Competing interests: The authors declare no competing interests., (© 2025. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2025
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31. Politics and confidence toward the COVID-19 vaccination: A Brazilian cross-sectional study.

Author: Paschoalotto MAC, Cima J, Costa E, Valente de Almeida S, Gomes da Costa J, Santos JV, Passador CS, Passador JL, and Barros PP
Subjects: Humans, Cross-Sectional Studies, Brazil epidemiology, Vaccination, Politics, COVID-19 Vaccines, COVID-19 prevention & control
Abstract: This study has the aim of assessing the Brazilian perceptions, influencing factors and political positioning on the confidence concerning COVID-19 vaccination. To achieve the objective, the methods rely on a cross-sectional survey of Brazilian citizens, distributed through different social networks. The sample is composed of 1,670 valid responses, collected from almost all Brazilian states and state capitals. To analyze the data and give a clear view of the variables' relationship, the study used bivariate and comparative graphs. Results show a higher level of confidence in vaccines from Pfizer and AstraZeneca, while the lower level of confidence is associated with vaccines from Sinopharm and Sputinik5. Vaccine efficacy is the most significant influencing factor that helps in the decision to get vaccinated. Also, individuals are less willing to get vaccinated if their political preferences are related to the right-wing. The results led to three main health and social implications: i) the vaccination strategy campaigns should take in count vaccine efficacy and political aspects; ii) the vaccination process should be adapted to regions with different political positions; and iii) a reinforcement in the educational policies of the vaccine's importance to the public health, to avoid the politization of a health issue.
Published: 2024
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32. In varietate concordia - cluster analysis of EQ-5D-5L value sets in European Union countries.

Author: Pinheiro V, Feldens T, Haagsma JA, and Santos JV
Abstract: Background: The transferability of health policies in the European Union (EU) faces challenges due to economic, political, and healthcare system factors, including cross-country differences in health preferences. In order to aid policymaking, previous research has grouped EU countries based on geographical proximity or literature-based criteria, but not on health preference data. The EQ-5D-5L instrument, which measures health-related quality of life and reflects unique national health preferences shaped by cultural and social factors, is used to evaluate policies, technologies and interventions, but has not been used to group countries. Thus, this study aims to identify clusters of EU-27 countries with similar preference patterns using published EQ-5D-5L value sets., Methods: Hierarchical agglomerative clustering was employed on 13 EU-27 countries' EQ-5D-5L value sets, first analyzing regression coefficients for each dimension-level and then creating a simulated coefficient distribution considering uncertainty., Findings: Five clusters of EU-27 countries emerged: (1) Belgium, Netherlands, Sweden, Germany); (2) Hungary, Italy, Portugal; (3) Poland, Romania; (4) France, Spain; (5) Denmark, Ireland. All clusters except cluster 5 gave higher importance to "Pain and Discomfort"; all clusters except cluster 1 gave less importance to "Usual Activities". "Anxiety and Depression" and "Pain and Discomfort" had the largest heterogeneity in valuation across severity level., Interpretation: Identified clusters of countries with distinct health preferences provide insights for health policy transferability in the EU. Recognizing countries with similar health preferences can aid EU policymaking and transferability efforts, particularly in early-stage policymaking, while also fostering closer collaboration on health policy decisions and best practice sharing. Further development of national value sets within the EU is necessary for a more accurate representation., Competing Interests: Declarations. Ethics approval: Adherence to the Helsinki Declaration principles was maintained throughout this study, despite not requiring ethical approval, as it relies solely on aggregated data sourced from publicly available literature. Consent to participate: Consent for participation in the study was not obtained before taking part, as the study relies solely on aggregated data sourced from publicly available literature. Consent to publish: Consent to publish the study was not obtained, as the study relies solely on aggregated data sourced from publicly available literature. Competing interests: None of the authors report any competing interest. Data sharing statement: The data that supports the findings of this study are publicly available in published literature. No restrictions or special licenses were required for the use of these data. Derived data supporting the findings are available from authors upon reasonable request with publication through the corresponding author., (© 2024. The Author(s).)
Published: 2024
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33. Application of essential oils as natural antimicrobials in lactic acid bacteria contaminating fermentation for the production of organic cachaça.

Author: Oliveira ACD, Gobato C, Pereira KN, Carvalho MV, Santos JV, Pinho GD, Zumpano CBC, Bastos RG, and Kamimura ES
Subjects: Anti-Infective Agents pharmacology, Anti-Bacterial Agents pharmacology, Food Microbiology, Oils, Volatile pharmacology, Fermentation, Lactobacillales metabolism, Lactobacillales drug effects, Thymus Plant chemistry, Origanum chemistry, Microbial Sensitivity Tests
Abstract: Sugarcane-based fermentation is an essential process for different sectors of economic importance, such as the food industry with fermented and distilled beverages. However, this process can suffer from high contamination by wild yeasts and bacteria, especially lactic acid bacteria (LAB). This makes it necessary to use decontamination strategies and search for new methods that have a low environmental impact and contribute to the production of organic products. Among the options, oregano and thyme essential oils stand out for their antibacterial compounds. The aim of this study was to use oregano and thyme essential oils as natural antimicrobials in the alcoholic fermentation of sugar cane juice. Initially, the minimum inhibitory concentration of the essential oils in the fermentation was assessed through turbidity in the sensitivity test, which allowed us to determine which concentrations of essential oils would inhibit the contaminants, 3 morphologically selected LAB strains, as well as assessing the viability of CA-11. For LAB, 3 concentrations of each essential oil were tested, ranging from 0.1 to 0.4 μl/mL, while for CA-11 it was 0.06, to 0.1 μl/mL. The results indicated a maximum total value of essential oils per ml of 0.06 μl. Based on this result, a 2 4-1 fractional factorial was established, with 8 conditions +3 central points, with 4 variables, oregano essential oil (0, 0.03 and 0.06 μl/ml), thyme (0, 0.03 and 0.06 μl/ml), initial soluble solids (14, 16 and 18°Brix) and initial yeast concentration (2.5, 3 and 3.5 g/l), with the temperature set at 32 °C for a period of 12 h. The results showed that the center point condition with 0.03 μl/ml of oregano EO, 0.03 μl/ml of thyme controlled the proliferation of contaminating bacteria compared to the control condition. In the experimental validation, the treatment with essential oils had a lower final population of LAB (5.95 log) than the final population of the control treatment (6.53 log), and it was also observed that the treatment with EOs had an alcohol production around 3 % higher than the treatment without antimicrobials. The experimental validation phase confirmed the synergistic action of oregano and thyme essential oils in controlling the proliferation of contaminating bacteria. In conclusion, it was possible to determine the synergistic antimicrobial action of essential oils against LAB during alcoholic fermentation based on organic sugar cane., Competing Interests: Declaration of competing interest The authors declare for all intents and purposes that part of the data in this article belongs to a patent application in progress., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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34. Severity of illness and risk of mortality from all patient refined-diagnosis related groups: Two scales of different concepts or two sides of the same coin?

Author: Santos JV, Viana J, Pinto C, Souza J, Lopes F, Freitas A, and Lopes S
Subjects: Humans, Retrospective Studies, Portugal, Risk Assessment methods, Adult, Reproducibility of Results, Female, Male, Middle Aged, Severity of Illness Index, Diagnosis-Related Groups
Abstract: All patient refined-diagnosis related groups (APR-DRGs) includes severity of illness (SOI) and risk of mortality (ROM) subclasses. For predictions, both subscales are used together or interchangeably. We aimed to compare SOI and ROM by evaluating the reliability and agreement between both. We performed a retrospective observational study using mainland Portuguese public hospitalisations of adult patients from 2011 to 2016. Reliability (quadratic weighted kappa) and agreement (proportion of agreement) between SOI and ROM were analysed overall and by APR-DRG. While overall reliability and agreement between SOI and ROM were high (weighted kappa: 0.717, 95% CI 0.717-0.718; proportion of agreement: 69.0%, 95% CI 69.0-69.0) there was high heterogeneity across APR-DRGs, ranging from 0.016 to 0.846 on reliability and from 23.1% to 94.8% on agreement. Most of APR-DRGs (263 out of 284) showed a higher proportion of episodes with ROM level above the SOI level than the opposite. In conclusion, SOI and Risk of Mortality measures must be clearly distinguished and are 'two scales of different concepts' rather than 'two sides of the same coin'. However, this is more evident for some APR-DRGs than for others., (© 2024 John Wiley & Sons Ltd.)
Published: 2024
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35. Cardioprotection of Canagliflozin, Dapagliflozin, and Empagliflozin: Lessons from preclinical studies.

Author: Soares RR, Viggiani LF, Reis Filho JM, and Joviano-Santos JV
Subjects: Animals, Humans, Diabetes Mellitus, Type 2 drug therapy, Hypoglycemic Agents therapeutic use, Hypoglycemic Agents pharmacology, Drug Evaluation, Preclinical, Glucosides therapeutic use, Glucosides pharmacology, Benzhydryl Compounds therapeutic use, Benzhydryl Compounds pharmacology, Cardiotonic Agents therapeutic use, Cardiotonic Agents pharmacology, Sodium-Glucose Transporter 2 Inhibitors therapeutic use, Sodium-Glucose Transporter 2 Inhibitors pharmacology, Canagliflozin therapeutic use, Canagliflozin pharmacology
Abstract: Clinical and preclinical studies have elucidated the favorable effects of Inhibitors of Sodium-Glucose Cotransporter-2 (iSGLT2) in patients and animal models with type 2 diabetes. Notably, these inhibitors have shown significant benefits in reducing hospitalizations and mortality among patients with heart failure. However, despite their incorporation into clinical practice for indications beyond diabetes, the decision-making process regarding their use often lacks a systematic approach. The selection of iSGLT2 remains arbitrary, with only a limited number of studies simultaneously exploring the different classes of them. Currently, no unique guideline establishes their application in both clinical and basic research. This review delves into the prevalent use of iSGLT2 in animal models previously subjected to induced cardiac stress. We have compiled key findings related to cardioprotection across various animal models, encompassing diverse dosages and routes of administration. Beyond their established role in diabetes management, iSGLT2 has demonstrated utility as agents for safeguarding heart health and cardioprotection can be class-dependent among the iSGLT2. These findings may serve as valuable references for other researchers. Preclinical studies play a pivotal role in ensuring the safety of novel compounds or treatments for potential human use. By assessing side effects, toxicity, and optimal dosages, these studies offer a robust foundation for informed decisions, identifying interventions with the highest likelihood of success and minimal risk to patients. The insights gleaned from preclinical studies, which play a crucial role in highlighting areas of knowledge deficiency, can guide the exploration of novel mechanisms and strategies involving iSGLT2., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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36. Selection of primary health care quality indicators in Europe: A Delphi study protocol.

Author: Lobo M, Pinto A, Conceição G, Escadas S, de Medeiros AM, Dias B, Sousa Pinto M, Pinto E, Ramalho A, Pereira A, Gonçalves Pinho M, Castro P, Pinheiro V, Santos P, Santos JV, and Freitas A
Subjects: Europe, Humans, Consensus, Surveys and Questionnaires, Primary Health Care standards, Delphi Technique, Quality Indicators, Health Care
Abstract: Objective: To describe a protocol to achieve consensus on valid and important indicators to assess primary health care (PHC) quality regarding all clinical contexts of PHC in European health systems., Study Design: Qualitative study using the Delphi technique to gain consensus among European panels of experts comprising a heterogeneous professional background., Methods: Potential candidate indicators were extracted and translated according to a set of informative elements (i.e., name, description, formula, unit of analysis, and sources). This list was then independently reviewed, and duplicates were removed totaling 1726 indicators. To guarantee a good response rate, indicators were distributed across 57 Delphi panels organized by clinical context. Each panel is a Delphi process, assessing between 23 to 33 indicators. Experts' opinions on the validity and importance of the extracted indicators will be obtained through two rounds of online questionnaires, using a 9-point Likert scale and free-text boxes. To prevent biased responses, participation will be anonymous to other participants and to the team administrating panels. Consensus will be considered if at least 70% of ratings (≥7 assuming 10 participants) lie within the 7-9 range and less than 15% of ratings (<2 assuming 10 participants) are in the 1-3 range. Analysis of results will be streamlined and generalizable across panels using scripts., Conclusions: This protocol will contribute to improve the quality of PHC in Europe by achieving a consensual and concise list of PHC quality indicators retrieved from the scientific literature that fit current clinical guidelines and populations' needs in countries from the European region according to the World Health Organization., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Lobo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2024
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37. Trisomy 13, home health-care and multidisciplinary approach: Case report.

Author: Anacleto PZ, Sousa VA, and Joviano-Santos JV
Subjects: Humans, Female, Child, Preschool, Home Care Services, Trisomy 13 Syndrome therapy, Trisomy 13 Syndrome diagnosis, Patient Care Team
Abstract: Objective: To recognize and address Patau's syndrome, despite its rarity and associated low life expectancy, through the presentation of a case study of a 2-year-old patient receiving Home Care services., Case Description: We present a female patient who defied the odds with a prolonged survival, possible due to Home Care. She was delivered via cesarean section at 31 weeks + 4 days due to restricted uterine growth. The mother, aged 36, had received proper prenatal care and was in good health. The diagnosis of Patau's syndrome was confirmed through karyotyping after birth. Despite the severe clinical nature of the case, the patient, now with two years old, receives specialized home-based care, supported by a tracheostomy and gastrostomy. A dedicated 24-hour nursing technician ensures continuous monitoring, and the patient benefits from regular medical check-ups, physiotherapy five times a week, weekly speech therapy sessions, monthly consultations with a nutritionist, and ongoing psychological support for her family members., Comments: This multidisciplinary approach has resulted in a slight motor response, highlighting the positive impact of comprehensive care on her overall well-being. The existence of a robust support network for families facing similar challenges is crucial, and a multidisciplinary care can effectively prevent complications associated with this impactful syndrome.
Published: 2024
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38. Growing conditions of Saccharomyces boulardii for the development of potentially probiotic mead: Fermentation kinetics, viable cell counts and bioactive compounds.

Author: de Souza HF, Bessa MS, Gonçalves VDDP, Dos Santos JV, Pinheiro C, das Chagas EGL, de Carvalho MV, Brandi IV, and Kamimura ES
Subjects: Phenols analysis, Kinetics, Beer microbiology, Beer analysis, Colony Count, Microbial, Ethanol metabolism, Probiotics, Fermentation, Saccharomyces boulardii growth & development, Antioxidants analysis, Antioxidants metabolism, Honey analysis, Honey microbiology, Alcoholic Beverages analysis, Alcoholic Beverages microbiology
Abstract: Mead is an alcoholic beverage produced by the fermentation of a diluted honey solution by the action of yeast. Recently, research has shown the potential of S. boulardii for brewing beer and in the development of probiotic alcoholic beverages and, to date, no research has examined for mead production. The aim of this study was to evaluate the growth conditions of S. boulardii for the development of potentially probiotic mead. The findings show that initial wort soluble solids conditions of 30 °Brix and initial concentration of 0.030 g/L of S. boulardii obtain potentially probiotic mead with viable yeast cells of 6.53 Log 10 CFU/mL, alcohol content of 5.05%, and has the presence of total phenolics (17.72 mg GAE/100 mL) and natural antioxidants (62.79 and 1.37 µmol TE/100 mL for ABTS and FRAP methods, respectively). In conclusion, S. boulardii has a potential for the development of probiotic mead., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Published: 2024
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39. Perceptions of Portuguese medical coders on the transition to ICD-10-CM/PCS: A national survey.

Author: Martins FS, Lopes F, Souza J, Freitas A, and Santos JV
Subjects: Portugal, Humans, Surveys and Questionnaires, International Classification of Diseases, Clinical Coding standards
Abstract: Background: In Portugal, trained physicians undertake the clinical coding process, which serves as the basis for hospital reimbursement systems. In 2017, the classification version used for coding of diagnoses and procedures for hospital morbidity changed from the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to the International Classification of Diseases, Tenth Revision, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS)., Objective: To assess the perceptions of medical coders on the transition of the clinical coding process from ICD-9-CM to ICD-10-CM/PCS in terms of its impact on data quality, as well as the major differences, advantages, and problems they faced., Method: We conducted an observational study using a web-based survey submitted to medical coders in Portugal. Survey questions were based on a literature review and from previous focus group studies., Results: A total of 103 responses were obtained from medical coders with experience in the two versions of the classification system (i.e. ICD-9-CM and ICD-10-CM/PCS). Of these, 82 (79.6%) medical coders preferred the latest version and 76 (73.8%) considered that ICD-10-CM/PCS guaranteed higher quality of the coded data. However, more than half of the respondents ( N = 61; 59.2%) believed that more time for the coding process for each episode was needed., Conclusion: Quality of clinical coded data is one of the major priorities that must be ensured. According to the medical coders, the use of ICD-10-CM/PCS appeared to achieve higher quality coded data, but also increased the effort., Implications: According to medical coders, the change off classification systems should improve the quality of coded data. Nevertheless, the extra time invested in this process might also pose a problem in the future., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Published: 2024
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40. Electrocontractile remodeling of isolated cardiomyocytes induced during early-stage hypercholesterolemia.

Author: Santos-Miranda A, Joviano-Santos JV, Marques ILS, Cau S, Carvalho FA, Fraga JR, Alvarez-Leite JI, Roman-Campos D, and Cruz JS
Subjects: Animals, Mice, Male, Myocytes, Cardiac metabolism, Myocytes, Cardiac pathology, Hypercholesterolemia physiopathology, Hypercholesterolemia metabolism, Hypercholesterolemia pathology
Abstract: Hypercholesterolemia is one of the most important risk factors for cardiovascular diseases. However, it is mostly associated with vascular dysfunction and atherosclerotic lesions, while evidence of direct effects of hypercholesterolemia on cardiomyocytes and heart function is still incomplete and controversial. In this study, we assessed the direct effects of hypercholesterolemia on heart function and the electro-contractile properties of isolated cardiomyocytes. After 5 weeks, male Swiss mice fed with AIN-93 diet added with 1.25% cholesterol (CHO), developed an increase in total serum cholesterol levels and cardiomyocytes cholesterol content. These changes led to altered electrocardiographic records, with a shortening of the QT interval. Isolated cardiomyocytes displayed a shortening of the action potential duration with increased rate of depolarization, which was explained by increased I K , reduced I Ca.L and altered I Na voltage-dependent inactivation. Also, reduced diastolic [Ca 2+ ] i was found with preserved adrenergic response and cellular contraction function. However, contraction of isolated hearts is impaired in isolated CHO hearts, before and after ischemia/reperfusion, although CHO heart was less susceptible to arrhythmic contractions. Overall, our results demonstrate that early hypercholesterolemia-driven increase in cellular cholesterol content is associated with direct modulation of the heart and cardiomyocytes' excitability, Ca 2+ handling, and contraction., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Published: 2024
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41. Assessment and validation of the pet-owner relationship scale for Brazil.

Author: Lopes LFD, Lopes EG, Lima MP, Lopes FG, Pegoraro D, Saragozo RA, Lauz TR, and Dos Santos JV
Abstract: Introduction: This study aimed to perform a cross-cultural adaptation of the cat-owner/dog-owner relationship scales. The method involved several stages: conceptual, item, semantic, operational, measurement, and functional equivalence. Procedures included translation, synthesis of translations, back-translation, consensus on the English versions, external evaluation by the original authors, expert committee evaluation, and pre-tests., Methods: The study surveyed 234 pet owners across Brazil using a 20-item questionnaire. Data analysis utilized confirmatory factor analysis, covariance-based modeling, and multigroup analysis., Results: The study confirmed the content and construct validity of the model, demonstrating good convergent validity. Hypotheses testing revealed significant inverse relationships between Perceived Cost and Perceived Emotional Closeness, and between Perceived Cost and Pet-Owner Interactions. A positive correlation was found between Perceived Emotional Closeness and Pet-Owner Interactions, with Perceived Emotional Closeness also mediating the relationship between Perceived Cost and Pet-Owner Interactions. No significant differences were found across different pet owner groups, indicating the scale's invariance and reliability across various demographics., Discussion: The study significantly expands understanding of the complex dynamics in pet-owner relationships and emphasizes the interplay between emotional and practical factors. It offers valuable insights for future research and practices in animal and human welfare., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Lopes, Lopes, Lima, Lopes, Pegoraro, Saragozo, Lauz and dos Santos.)
Published: 2024
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42. Evaluating the antimicrobial and anti-biofilm activity of three synthetic antimicrobial Citropin analogs and their ability to fight against Staphylococcus aureus and Staphylococcus pseudintermedius.

Author: Salvado MG, André LSP, Pereira RFA, Pinheiro FR, Barbosa BDC, Scaffo JC, Pereira AJ, Arakaki DG, Xing H, de Oliveira KMP, de Andrade Dos Santos JV, Sachs D, Aguiar-Alves F, Conda-Sheridan M, and Penna B
Subjects: Humans, Antimicrobial Peptides pharmacology, Antimicrobial Peptides chemistry, Erythrocytes drug effects, Keratinocytes drug effects, Biofilms drug effects, Microbial Sensitivity Tests, Staphylococcus aureus drug effects, Anti-Bacterial Agents pharmacology, Staphylococcus drug effects
Abstract: Aims: We developed three new analogs of the antimicrobial peptide (AMP) Citropin 1.1: DAN-1-13, AJP-1-1, and HHX-2-28, and tested their potential antimicrobial and antibiofilm activities against Staphylococcus aureus and S. pseudintermedius. Potential cytotoxic or hemolytic effects were determined using cultured human keratinocytes and erythrocytes to determine their safety., Methods and Results: To assess the antimicrobial activity of each compound, minimum inhibitory concentrations (MIC) and minimum bactericidal concentrations (MBC) were determined against methicillin-resistant and methicillin-susceptible strains of S. aureus and S. pseudintermedius. Activity against newly formed and mature biofilms was determined in two clinical isolates using spectrophotometry and scanning electron microscopy (SEM). All three compounds exhibited antimicrobial and bactericidal activity against all studied S. aureus and S. pseudintermedius strains, with MICs ranging from 4-32 μg ml-1 and MBCs ranging from 8-128 μg ml-1. Subinhibitory concentrations of all compounds also showed ant-biofilm activity in the two tested isolates. All compounds exhibited limited cytotoxic and hemolytic activity., Conclusions: Novel analogs of Citropin 1.1 exhibit antimicrobial and bactericidal activities against S. aureus and S. pseudintermedius isolates and inhibit the biofilm formation of these bacteria., (© The Author(s) 2024. Published by Oxford University Press on behalf of Applied Microbiology International.)
Published: 2024
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43. Effects of bioconversion by Battus polydamas on the chemical composition of Aristolochia spp. and evaluation of antimicrobial activity and biocompatibility.

Author: do Prado Schneidewind FCC, de Castilho PF, Galvão F, de Andrade Dos Santos JV, da Silva Dantas FG, Negri M, da Silva Pinto L, Moraes CAF, Freitas J, de Souza PRB, Nogueira CR, and de Oliveira KMP
Subjects: Animals, Larva drug effects, Phytochemicals pharmacology, Phytochemicals isolation & purification, Microbial Sensitivity Tests, Humans, Antioxidants pharmacology, Bacillus cereus drug effects, Anti-Infective Agents pharmacology, Anti-Infective Agents chemistry, Anti-Bacterial Agents pharmacology, Anti-Bacterial Agents chemistry, Moths drug effects, Aristolochia chemistry, Plant Extracts pharmacology, Plant Extracts chemistry
Abstract: Aristolochia plants are emblematic from an ethnopharmacological viewpoint and are know to possess numerous biological properties, including antiseptic. However, the medicinal potential of these species is debatable because of their representative chemical constituents, aristolochic acids (AAs) and aristolactams (ALs), which are associated, for instance, with nephropathy and cancer. These contrasting issues have stimulated the development of approaches intended to detoxification of aristoloquiaceous biomasses, among which is included the bioconversion method using larvae of the specialist phytophagous insect Battus polydamas, previously shown to be viable for chemical diversification and to reduce toxicity. Thus, eleven Aristolochia spp. were bioconverted, and the antimicrobial activities of the plant methanolic extracts and its respective bioconversion products were evaluated. The best results were found for Aristolochia esperanzae, Aristolochia gibertii, and Aristolochia ringens against Bacillus cereus, with MIC ranging from 7.8 to 31.25 μg/mL. These three species were selected for chemical, antioxidant, cytotoxic, hemolytic, and mutagenic analyses. Chemical analysis revealed 65 compounds, 21 of them possible bioconversion products. The extracts showed potential to inhibit the formation and degradation of B. cereus biofilms. Extracts of A. gibertii and its bioconverted biomass showed antioxidant activity comparable to dibutylhydroxytoluene (BHT) standard. Bioconversion decreased the hemolytic activity of A. esperanzae and the cytotoxicities of A. esperanzae and A. gibertii. None of the extracts was found to be mutagenic. The bioactivities of the fecal extracts were maintained, and biocompatibility was improved. Therefore, the results obtained in this study reveal positive expectations about the natural detoxification process of the Aristolochia species., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2023. Published by Elsevier B.V.)
Published: 2024
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44. Effects of crotamine in human prostate cancer cell line.

Author: Alberghini-Dos-Santos JV, Sanchez CA, Bordon KCF, Pucca MB, Antunes LMG, Arantes EC, and Oliveira IS
Subjects: Humans, Male, Cell Line, Tumor, Crotalus, Human Umbilical Vein Endothelial Cells drug effects, Animals, Prostatic Neoplasms drug therapy, Cell Movement drug effects, Crotalid Venoms toxicity, Antineoplastic Agents pharmacology
Abstract: Our study presents the anticancer potential of crotamine from Crotalus durissus terrificus in human prostate cancer cell line DU-145. Crotamine isolation was conducted through RP-FPLC, its molecular mass analyzed by MALDI-TOF was 4881.4 kDa, and N-terminal sequencing confirmed crotamine identity. Crotamine demonstrated no toxicity and did not inhibit migration in HUVEC cells. Although no cell death occurred in DU-145 cells, crotamine inhibited their migration. Thus, crotamine presented potential to be a prototype of anticancer drug., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
Published: 2024
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45. The state of health in the European Union (EU-27) in 2019: a systematic analysis for the Global Burden of Disease study 2019.

Author: Santos JV, Padron-Monedero A, Bikbov B, Grad DA, Plass D, Mechili EA, Gazzelloni F, Fischer F, Sulo G, Ngwa CH, Noguer-Zambrano I, Peñalvo JL, Haagsma JA, Kissimova-Skarbek K, Monasta L, Ghith N, Sarmiento-Suarez R, Hrzic R, Haneef R, O'Caoimh R, Cuschieri S, Mondello S, Kabir Z, Freitas A, and Devleesschauwer B
Subjects: Humans, Male, Health Status, Female, Cost of Illness, European Union statistics & numerical data, Global Burden of Disease trends, Life Expectancy trends, Disability-Adjusted Life Years trends
Abstract: Background: The European Union (EU) faces many health-related challenges. Burden of diseases information and the resulting trends over time are essential for health planning. This paper reports estimates of disease burden in the EU and individual 27 EU countries in 2019, and compares them with those in 2010., Methods: We used the Global Burden of Disease 2019 study estimates and 95% uncertainty intervals for the whole EU and each country to evaluate age-standardised death, years of life lost (YLLs), years lived with disability (YLDs) and disability-adjusted life years (DALYs) rates for Level 2 causes, as well as life expectancy and healthy life expectancy (HALE)., Results: In 2019, the age-standardised death and DALY rates in the EU were 465.8 deaths and 20,251.0 DALYs per 100,000 inhabitants, respectively. Between 2010 and 2019, there were significant decreases in age-standardised death and YLL rates across EU countries. However, YLD rates remained mainly unchanged. The largest decreases in age-standardised DALY rates were observed for "HIV/AIDS and sexually transmitted diseases" and "transport injuries" (each -19%). "Diabetes and kidney diseases" showed a significant increase for age-standardised DALY rates across the EU (3.5%). In addition, "mental disorders" showed an increasing age-standardised YLL rate (14.5%)., Conclusions: There was a clear trend towards improvement in the overall health status of the EU but with differences between countries. EU health policymakers need to address the burden of diseases, paying specific attention to causes such as mental disorders. There are many opportunities for mutual learning among otherwise similar countries with different patterns of disease., (© 2024. The Author(s).)
Published: 2024
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46. A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma.

Author: Pilcher WC, Yao L, Gonzalez-Kozlova E, Pita-Juarez Y, Karagkouni D, Acharya CR, Michaud ME, Hamilton M, Nanda S, Song Y, Sato K, Wang JT, Satpathy S, Ma Y, Schulman J, D'Souza D, Jayasinghe RG, Cheloni G, Bakhtiari M, Pabustan N, Nie K, Foltz JA, Saldarriaga I, Alaaeldin R, Lepisto E, Chen R, Fiala MA, Thomas BE, Cook A, Dos Santos JV, Chiang IL, Figueiredo I, Fortier J, Slade M, Oh ST, Rettig MP, Anderson E, Li Y, Dasari S, Strausbauch MA, Simon VA, Rahman AH, Chen Z, Lagana A, DiPersio JF, Rosenblatt J, Kim-Schulze S, Dhodapkar MV, Lonial S, Kumar S, Bhasin SS, Kourelis T, Vij R, Avigan D, Cho HJ, Mulligan G, Ding L, Gnjatic S, Vlachos IS, and Bhasin M
Abstract: Multiple Myeloma (MM) remains incurable despite advances in treatment options. Although tumor subtypes and specific DNA abnormalities are linked to worse prognosis, the impact of immune dysfunction on disease emergence and/or treatment sensitivity remains unclear. We established a harmonized consortium to generate an Immune Atlas of MM aimed at informing disease etiology, risk stratification, and potential therapeutic strategies. We generated a transcriptome profile of 1,149,344 single cells from the bone marrow of 263 newly diagnosed patients enrolled in the CoMMpass study and characterized immune and hematopoietic cell populations. Associating cell abundances and gene expression with disease progression revealed the presence of a proinflammatory immune senescence-associated secretory phenotype in rapidly progressing patients. Furthermore, signaling analyses suggested active intercellular communication involving APRIL-BCMA, potentially promoting tumor growth and survival. Finally, we demonstrate that integrating immune cell levels with genetic information can significantly improve patient stratification.
Published: 2024
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47. In vivo tebuconazole administration impairs heart electrical function and facilitates the occurrence of dobutamine-induced arrhythmias: involvement of reactive oxygen species.

Author: Teixeira-Fonseca JL, Souza DS, Conceição MRL, Marques LP, Durço AO, Silva PLD, Joviano-Santos JV, Santos-Miranda A, and Roman-Campos D
Subjects: Humans, Rats, Animals, Male, Reactive Oxygen Species, Rats, Wistar, Acetylcysteine, Myocytes, Cardiac, Dobutamine, Arrhythmias, Cardiac chemically induced, Triazoles
Abstract: Tebuconazole (TEB), a widely used pesticide in agriculture to combat fungal infections, is commonly detected in global food, potable water, groundwater, and human urine samples. Despite its known in vivo toxicity, its impact on heart function remains unclear. In a 28-day study on male Wistar rats (approximately 100 g), administering 10 mg/kg/day TEB or a vehicle (control) revealed no effect on body weight gain or heart weight, but an increase in the infarct area in TEB-treated animals. Notably, TEB induced time-dependent changes in in vivo electrocardiograms, particularly prolonging the QT interval after 28 days of administration. Isolated left ventricular cardiomyocytes exposed to TEB exhibited lengthened action potentials and reduced transient outward potassium current. TEB also increased reactive oxygen species (ROS) production in these cardiomyocytes, a phenomenon reversed by N-acetylcysteine (NAC). Furthermore, TEB-treated animals, when subjected to an in vivo dobutamine (Dob) and caffeine (Caf) challenge, displayed heightened susceptibility to severe arrhythmias, a phenotype prevented by NAC. In conclusion, TEB at the no observed adverse effect level (NOAEL) dose adversely affects heart electrical function, increases arrhythmic susceptibility, partially through ROS overproduction, and this phenotype is reversible by scavenging ROS with NAC., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
Published: 2024
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48. Influence of Titanium Surface Residual Stresses on Osteoblastic Response and Bacteria Colonization.

Author: Pereira R, Maia P, Rios-Santos JV, Herrero-Climent M, Rios-Carrasco B, Aparicio C, and Gil J
Abstract: Grit basting is the most common process applied to titanium dental implants to give them a roughness that favors bone colonization. There are numerous studies on the influence of roughness on osseointegration, but the influence of the compressive residual stress associated with this treatment on biological behavior has not been determined. For this purpose, four types of surfaces have been studied using 60 titanium discs: smooth, smooth with residual stress, rough without stress, and rough with residual stress. Roughness was studied by optic interferometry; wettability and surface energy (polar and dispersive components) by contact angle equipment using three solvents; and residual stresses by Bragg-Bentano X-ray diffraction. The adhesion and alkaline phosphatase (ALP) levels on the different surfaces were studied using Saos-2 osteoblastic cultures. The bacterial strains Streptococcus sanguinis and Lactobacillus salivarius were cultured on different surfaces, determining the adhesion. The results showed that residual stresses lead to increased hydrophilicity on the surfaces, as well as an increase in surface energy, especially on the polar component. From the culture results, higher adhesion and higher ALP levels were observed in the discs with residual stresses when compared between smooth and roughened discs. It was also found that roughness was the property that mostly influenced osteoblasts' response. Bacteria colonize rough surfaces better than smooth surfaces, but no changes are observed due to residual surface tension.
Published: 2024
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49. The Homophobia Course in the Life of Older Gay Men in Brazil: Their Social Representations.

Author: de Oliveira Santos JV and de Araújo LF
Subjects: Male, Humans, Middle Aged, Aged, Homosexuality, Male, Brazil, Homophobia, Sexual and Gender Minorities
Abstract: This study aims at understanding the social representations of homophobia among older gay men. A number of 20 older gay men aged between 60 and 75 years old participated of the study; the average age was 63.25 years old (SD = 3.58). In the data collection, a semi-structured interview about homophobia was used; they were analyzed on IRAMUTEQ, which compiles the descendant hierarchical classification. The corpus was divided into three classes of social representations. The first representation comprises images of prejudice within society. The second one presents social representations involving reports of internalized homophobia and the experiencing of prejudice. The third one shows social representations about physical and identity violations. The social representations of homophobia show how the participants lead their actions in society, being based upon risk and protection issues to face the objective and subjective difficulties present in their social representations.
Published: 2024
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50. Neurotoxicity of Pyrethroids in neurodegenerative diseases: From animals' models to humans' studies.

Author: Arsuffi-Marcon R, Souza LG, Santos-Miranda A, and Joviano-Santos JV
Subjects: Animals, Humans, Mammals, Pyrethrins toxicity, Insecticides toxicity, Neurodegenerative Diseases chemically induced, Neurotoxicity Syndromes, Pesticides toxicity
Abstract: Neurodegenerative diseases are associated with diverse symptoms, both motor and mental. Genetic and environmental factors can trigger neurodegenerative diseases. Chemicals as pesticides are constantly used in agriculture and also domestically. In this regard, pyrethroids (PY), are a class of insecticides in which its main mechanism of action is through disruption of voltage-dependent sodium channels function in insects. However, in mammals, they can also induce oxidative stress and enzyme dysfunction. This review investigates the association between PY and neurodegenerative diseases as Alzheimer's, Huntington's, Parkinson's, Amyotrophic Lateral Sclerosis, and Autism in animal models and humans. Published works using specific and non-specific models for these diseases were selected. We showed a tendency toward the development and/or aggravating of these neurodegenerative diseases following exposure to PYs. In animal models, the biochemical mechanisms of the diseases and their interaction with the insecticides are more deeply investigated. Nonetheless, only a few studies considered the specific model for each type of disease to analyze the impacts of the exposure. The choice of a specific model during the research is an important step and our review highlights the knowledge gaps of PYs effects using these models reinforcing the importance of them during the design of the experiments., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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