1,865 results on '"A Wimo"'
Search Results
2. Cost analysis of day care centres in Norway.
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C Vossius, G Selbæk, J Šaltytė Benth, A Wimo, K Engedal, Ø Kirkevold, and A M M Rokstad
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Medicine ,Science - Abstract
BackgroundDay care services aim to offer meaningful activities and a safe environment for the attendees and a respite for family caregivers while being cost effective. This study compares the use of formal and informal care in users and non-users of day care centres designed for persons with dementia.MethodUsers of day care designed for dementia (DC group) and non-users (NDC group) were followed over a period of 24 months or until nursing home admission (NHA) respectively death. Demographic and clinical characteristics were collected at baseline and after 12 and 24 months. The use of care was recorded by Resource Utilization in Dementia (RUD).ResultsA total of 257 persons with dementia participated in the study, 181 in the DC group and 76 in the NDC group. Users of day care centres cause higher costs due to the expenses for day care, while neither the use of home nursing, secondary care, informal care nor the time until NHA did show any differences between users and non-users. The overall costs were higher in the DC group at baseline and after 12 months, but this difference was no longer present at the end of the two-year study period.ConclusionOur results indicate no potential cost-saving effect of day care designed for people with dementia, as the use of day care did neither result in a reduced use of care nor in a delay of NHA. Future research should balance the non-monetary benefits of day care against its costs for a full cost-effectiveness analysis, most favourable in a RCT-design.
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- 2019
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3. On the 2024 Alzheimer’s Association Criteria: Still Not Ready for Clinical Use
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Zhou, Robin Ziyue, Wimo, A., and Winblad, B.
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- 2024
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4. Validation of the Health Assessment Tool (HAT) based on four aging cohorts from the Swedish National study on Aging and Care
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Abbadi, Ahmad, Kokoroskos, Emmanouil, Stamets, Matthew, Vetrano, Davide L., Orsini, Nicola, Elmståhl, Sölve, Fagerström, Cecilia, Wimo, Anders, Sköldunger, Anders, Berglund, Johan Sanmartin, Olsson, Christina B., Wachtler, Caroline, Fratiglioni, Laura, and Calderón-Larrañaga, Amaia
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- 2024
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5. Integrating a multimodal lifestyle intervention with medical food in prodromal Alzheimer’s disease: the MIND-ADmini randomized controlled trial
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Thunborg, Charlotta, Wang, Rui, Rosenberg, Anna, Sindi, Shireen, Andersen, Pia, Andrieu, Sandrine, Broersen, Laus M., Coley, Nicola, Couderc, Celine, Duval, Celine Z., Faxen-Irving, Gerd, Hagman, Göran, Hallikainen, Merja, Håkansson, Krister, Kekkonen, Eija, Lehtisalo, Jenni, Levak, Nicholas, Mangialasche, Francesca, Pantel, Johannes, Rydström, Anders, Stigsdotter-Neely, Anna, Wimo, Anders, Ngandu, Tiia, Soininen, Hilkka, Hartmann, Tobias, Solomon, Alina, and Kivipelto, Miia
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- 2024
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6. Validation of the Health Assessment Tool (HAT) based on four aging cohorts from the Swedish National study on Aging and Care
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Ahmad Abbadi, Emmanouil Kokoroskos, Matthew Stamets, Davide L. Vetrano, Nicola Orsini, Sölve Elmståhl, Cecilia Fagerström, Anders Wimo, Anders Sköldunger, Johan Sanmartin Berglund, Christina B. Olsson, Caroline Wachtler, Laura Fratiglioni, and Amaia Calderón-Larrañaga
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Geriatric health assessment ,Frailty ,Aging cohorts ,External validation ,Medicine - Abstract
Abstract Background As global aging accelerates, routinely assessing the functional status and morbidity burden of older patients becomes paramount. The aim of this study is to assess the validity of the comprehensive clinical and functional Health Assessment Tool (HAT) based on four cohorts of older adults (60 + years) from the Swedish National study on Aging and Care (SNAC) spanning urban, suburban, and rural areas. Methods The HAT integrates five health indicators (gait speed, global cognition, number of chronic diseases, and basic and instrumental activities of daily living), providing an individual-level score between 0 and 10. The tool was constructed using nominal response models, first separately for each cohort and then in a harmonized dataset. Outcomes included all-cause mortality over a maximum follow-up of 16 years and unplanned hospital admissions over a maximum of 3 years of follow-up. The predictive capacity was assessed through the area under the curve (AUC) using logistic regressions. For time to death, Cox regressions were performed, and Harrell’s C-indices were reported. Results from the four cohorts were pooled using individual participant data meta-analysis and compared with those from the harmonized dataset. Results The HAT demonstrated high predictive capacity across all cohorts as well as in the harmonized dataset. In the harmonized dataset, the AUC was 0.84 (95% CI 0.81–0.87) for 1-year mortality, 0.81 (95% CI 0.80–0.83) for 3-year mortality, 0.80 (95% CI 0.79–0.82) for 5-year mortality, 0.69 (95% CI 0.67–0.70) for 1-year unplanned admissions, and 0.69 (95% CI 0.68–0.70) for 3-year unplanned admissions. The Harrell’s C for time-to-death throughout 16 years of follow-up was 0.75 (95% CI 0.74–0.75). Conclusions The HAT is a highly predictive, clinically intuitive, and externally valid instrument with potential for better addressing older adults’ health needs and optimizing risk stratification at the population level.
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- 2024
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7. Integrating a multimodal lifestyle intervention with medical food in prodromal Alzheimer’s disease: the MIND-ADmini randomized controlled trial
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Charlotta Thunborg, Rui Wang, Anna Rosenberg, Shireen Sindi, Pia Andersen, Sandrine Andrieu, Laus M. Broersen, Nicola Coley, Celine Couderc, Celine Z. Duval, Gerd Faxen-Irving, Göran Hagman, Merja Hallikainen, Krister Håkansson, Eija Kekkonen, Jenni Lehtisalo, Nicholas Levak, Francesca Mangialasche, Johannes Pantel, Anders Rydström, Anna Stigsdotter-Neely, Anders Wimo, Tiia Ngandu, Hilkka Soininen, Tobias Hartmann, Alina Solomon, and Miia Kivipelto
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Alzheimer’s disease ,Lifestyle intervention ,Multimodal intervention ,Adherence ,Medical food ,Prevention ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Background The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) showed cognitive benefits from a multidomain lifestyle intervention in at-risk older people. The LipiDiDiet trial highlighted benefits of medical food in prodromal Alzheimer’s disease (AD). However, the feasibility and impact of multimodal interventions combining lifestyle with medical food in prodromal AD is unclear. Methods MIND-ADmini was a 6-month multinational (Sweden, Finland, Germany, France) proof-of-concept randomized controlled trial (RCT). Participants were 60–85 years old, had prodromal AD (International Working Group-1 criteria), and vascular/lifestyle risk factors. The parallel-group RCT had three arms: multimodal lifestyle intervention (nutritional guidance, exercise, cognitive training, vascular/metabolic risk management and social stimulation); multimodal lifestyle intervention + medical food (Fortasyn Connect); and regular health advice/care (control). Participants were randomized 1:1:1 (computer-generated allocation at each site). Outcome evaluators were blinded to randomization. Primary outcome was feasibility of the multimodal intervention, evaluated by recruitment rate during a 6-month recruitment phase, overall adherence in each intervention arm, and 6-month retention rate. Successful adherence was pre-specified as attending ≥ 40% of sessions/domain in ≥ 2/4 domains (lifestyle intervention), and consuming ≥ 60% of the medical food (lifestyle intervention + medical food). The secondary outcomes included adherence/participation to each intervention component and overall adherence to healthy lifestyle changes, measured using a composite score for healthy lifestyle. Cognitive assessments were included as exploratory outcomes, e.g. Clinical Dementia Rating scale. Results During September 2017-May 2019, 93 individuals were randomized (32 lifestyle intervention, 31 lifestyle + medical food, and 30 control group). Overall recruitment rate was 76.2% (64.8% during the first 6 months). Overall 6-month retention rate was 91.4% (lifestyle intervention 87.5%; lifestyle + medical food 90.3%; control 96.7%). Domain-specific adherence in the lifestyle intervention group was 71.9% to cognitive training, 78.1% exercise, 68.8% nutritional guidance, and 81.3% vascular risk management; and in the lifestyle + medical food group, 90.3% to cognitive training, 87.1% exercise, 80.7% nutritional guidance, 87.1% vascular risk management, and 87.1% medical food. Compared with control, both intervention arms showed healthy diet improvements (βLifestyle×Time = 1.11, P = 0.038; βLifestyle+medical food×Time = 1.43, P = 0.007); the lifestyle + medical food group also showed vascular risk reduction (P = 0.043) and less cognitive-functional decline (P
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- 2024
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8. Estimates of Current Capacity for Diagnosing Alzheimer’s Disease in Sweden and the Need to Expand Specialist Numbers
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Mattke, Soeren, Gustavsson, A., Jacobs, L., Kern, S., Palmqvist, S., Eriksdotter, M., Skoog, I., Winblad, B., Wimo, A., and Jönsson, L.
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- 2024
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9. Amyloid-targeting New Therapies for Alzheimer’s Disease: A Health Economics Perspective
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Jönsson, L. and Wimo, Anders
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- 2023
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10. Prevention of dementia using mobile phone applications (PRODEMOS): a multinational, randomised, controlled effectiveness–implementation trial
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Witvliet, Patrick, Hoitink, Mart, van de Groep, Bram, Liu, Hongmei, Ge, Siqi, He, Mingyue, Li, Cancan, Jian, Xuening, Jiang, Bin, Sun, Haixin, Ru, Xiaojuan, Sun, Dongling, Lian, Tenghong, Zhang, Weijiao, Zhang, Wenjing, Qi, Jing, Li, Jinghui, Guan, Huiying, Luo, Dongmei, Zhang, Weijia, Yue, Hao, Zheng, Zijing, Zeng, Qiang, Yang, Huangdai, Tang, Yanyan, Tao, Tianqi, Song, Yan, Meng, Xiaosheng, Zhu, Sirui, Jia, Dongmei, Li, Mo, Li, Wenjie, Mu, Haiyan, Jiang, Wenjing, Gao, Wenchao, Hu, Yueqing, Wang, Guohua, Xu, Xizhu, Zhang, Yichun, Li, Dong, Zhang, Xiaoyu, Guo, Xiuhua, Ye, Xiaoyan, Wei, Xi, Moll van Charante, Eric P, Hoevenaar-Blom, Marieke P, Song, Manshu, Andrieu, Sandrine, Barnes, Linda, Birck, Cindy, Brooks, Rachael, Coley, Nicola, Eggink, Esmé, Georges, Jean, Hafdi, Melanie, van Gool, Willem A, Handels, Ron, Hou, Haifeng, Lyu, Jihui, Niu, Yixuan, Song, Libin, Wang, Wenzhi, Wang, Youxin, Wimo, Anders, Yu, Yueyi, Zhang, Jinxia, Zhang, Wei, Brayne, Carol, Wang, Wei, and Richard, Edo
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- 2024
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11. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Ferrari, Alize J, Santomauro, Damian Francesco, Aali, Amirali, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdollahi, Arash, Abdullahi, Auwal, Abegaz, Kedir Hussein, Abeldaño Zuñiga, Roberto Ariel, Aboagye, Richard Gyan, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abualruz, Hasan, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Ackerman, Ilana N, Addo, Isaac Yeboah, Addolorato, Giovanni, Adebiyi, Akindele Olupelumi, Adepoju, Abiola Victor, Adewuyi, Habeeb Omoponle, Afyouni, Shadi, Afzal, Saira, Afzal, Sina, Agodi, Antonella, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Shahzaib, Ahmed, Ali, Ahmed, Luai A, Ahmed, Muktar Beshir, Ajami, Marjan, Akinosoglou, Karolina, Akkaif, Mohammed Ahmed, Al Hasan, Syed Mahfuz, Alalalmeh, Samer O, Al-Aly, Ziyad, Albashtawy, Mohammed, Aldridge, Robert W, Alemu, Meseret Desalegn, Alemu, Yihun Mulugeta, Alene, Kefyalew Addis, Al-Gheethi, Adel Ali Saeed, Alharrasi, Maryam, Alhassan, Robert Kaba, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Al-Marwani, Sabah, Almazan, Joseph Uy, Alomari, Mahmoud A, Al-Omari, Basem, Altaany, Zaid, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Alwafi, Hassan, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Safwat, Alzoubi, Karem H, Amare, Azmeraw T, Amegbor, Prince M, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amugsi, Dickson A, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrade, Pedro Prata, Andrei, Catalina Liliana, Ansari, Hossein, Antony, Catherine M, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyanwu, Philip Emeka, Arab, Juan Pablo, Arabloo, Jalal, Arafat, Mosab, Araki, Daniel T, Aravkin, Aleksandr Y, Arkew, Mesay, Armocida, Benedetta, Arndt, Michael Benjamin, Arooj, Mahwish, Artamonov, Anton A, Aruleba, Raphael Taiwo, Arumugam, Ashokan, Ashbaugh, Charlie, Ashemo, Mubarek Yesse, Ashraf, Muhammad, Asika, Marvellous O, Askari, Elaheh, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avan, Abolfazl, Awotidebe, Adedapo Wasiu, Awuviry-Newton, Kofi, Ayala Quintanilla, Beatriz Paulina, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azevedo, Rui M S, Babu, Abraham Samuel, Badar, Muhammad, Badiye, Ashish D, Baghdadi, Soroush, Bagheri, Nasser, Bah, Sulaiman, Bai, Ruhai, Baker, Jennifer L, Bakkannavar, Shankar M, Bako, Abdulaziz T, Balakrishnan, Senthilkumar, Bam, Kiran, Banik, Palash Chandra, Barchitta, Martina, Bardhan, Mainak, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Barqawi, Hiba Jawdat, Barrow, Amadou, Barteit, Sandra, Barua, Lingkan, Bashiri Aliabadi, Somaye, Basiru, Afisu, Basu, Sanjay, Basu, Saurav, Bathini, Prapthi Persis, Batra, Kavita, Baune, Bernhard T, Bayileyegn, Nebiyou Simegnew, Behnam, Babak, Behnoush, Amir Hossein, Beiranvand, Maryam, Bejarano Ramirez, Diana Fernanda, Bell, Michelle L, Bello, Olorunjuwon Omolaja, Beloukas, Apostolos, Bensenor, Isabela M, Berezvai, Zombor, Bernabe, Eduardo, Bernstein, Robert S, Bettencourt, Paulo J G, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Dinesh, Bhargava, Ashish, Bhaskar, Sonu, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Bhutta, Zulfiqar A, Bikbov, Boris, Bishai, Jessica Devin, Bisignano, Catherine, Bitra, Veera R, Bjørge, Tone, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Bonakdar Hashemi, Milad, Bonny, Aime, Bora Basara, Berrak, Borhany, Hamed, Boxe, Christopher, Brady, Oliver J, Bragazzi, Nicola Luigi, Braithwaite, Dejana, Brant, Luisa C, Brauer, Michael, Breitner, Susanne, Brenner, Hermann, Brown, Julie, Brugha, Traolach, Bulamu, Norma B, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Zahid A, Byun, Justin, Caetano dos Santos, Florentino Luciano, Calina, Daniela, Cámera, Luis Alberto, Campos-Nonato, Ismael R, Cao, Chao, Capodici, Angelo, Carr, Sinclair, Carreras, Giulia, Carugno, Andrea, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catapano, Alberico L, Cattaruzza, Maria Sofia, Caye, Arthur, Cegolon, Luca, Cembranel, Francieli, Cenderadewi, Muthia, Cerin, Ester, Chakraborty, Promit Ananyo, Chan, Jeffrey Shi Kai, Chan, Raymond N C, Chandika, Rama Mohan, Chandrasekar, Eeshwar K, Charalampous, Periklis, Chattu, Vijay Kumar, Chatzimavridou-Grigoriadou, Victoria, Chen, Angela W, Chen, An-Tian, Chen, Catherine S, Chen, Haowei, Chen, Nathalie M, Cheng, Esther T W, Chimed-Ochir, Odgerel, Chimoriya, Ritesh, Ching, Patrick R, Cho, William C S, Choi, Sungchul, Chong, Bryan, Chong, Yuen Yu, Choudhari, Sonali Gajanan, Chowdhury, Rajiv, Christensen, Steffan Wittrup McPhee, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Chung, Eunice, Chutiyami, Muhammad, Claassens, Mareli M, Cogen, Rebecca M, Columbus, Alyssa, Conde, Joao, Cortesi, Paolo Angelo, Cousin, Ewerton, Criqui, Michael H, Cruz-Martins, Natália, Dadras, Omid, Dai, Siyu, Dai, Xiaochen, Dai, Zhaoli, Dalaba, Maxwell Ayindenaba, Damiani, Giovanni, Das, Jai K, Das, Saswati, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, Davletov, Kairat, De Leo, Diego, Debele, Aklilu Tamire, Debopadhaya, Shayom, DeCleene, Nicole K, Deeba, Farah, Degenhardt, Louisa, Del Bo', Cristian, Delgado-Enciso, Ivan, Demetriades, Andreas K, Denova-Gutiérrez, Edgar, Dervenis, Nikolaos, Desai, Hardik Dineshbhai, Desai, Rupak, Deuba, Keshab, Dhama, Kuldeep, Dharmaratne, Samath Dhamminda, Dhingra, Sameer, Dias da Silva, Diana, Diaz, Daniel, Diaz, Luis Antonio, Diaz, Michael J, Dima, Adriana, Ding, Delaney D, Dirac, M Ashworth, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Dohare, Sushil, Dominguez, Regina-Mae Villanueva, Dong, Wanyue, Dongarwar, Deepa, D'Oria, Mario, Dorsey, E Ray, Doshmangir, Leila, Dowou, Robert Kokou, Driscoll, Tim Robert, Dsouza, Haneil Larson, Dsouza, Viola, Dube, John, Dumith, Samuel C, Duncan, Bruce B, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, Eboreime, Ejemai, Ebrahimi, Alireza, Edinur, Hisham Atan, Edvardsson, David, Eikemo, Terje Andreas, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Sayed, Iman, El Tantawi, Maha, Elbarazi, Iffat, Elemam, Noha Mousaad, ElGohary, Ghada Metwally Tawfik, Elhadi, Muhammed, Elmeligy, Omar Abdelsadek Abdou, ELNahas, Gihan, Elshaer, Mohammed, Elsohaby, Ibrahim, Engelbert Bain, Luchuo, Erkhembayar, Ryenchindorj, Eshrati, Babak, Estep, Kara, Fabin, Natalia, Fagbamigbe, Adeniyi Francis, Falzone, Luca, Fareed, Mohammad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faro, Andre, Farrokhi, Pegah, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Feigin, Valery L, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Feroze, Abdullah Hamid, Ferreira, Nuno, Ferreira, Paulo H, Fischer, Florian, Flavel, Joanne, Flood, David, Flor, Luisa S, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Force, Lisa M, Fortuna, Daniela, Foschi, Matteo, Franklin, Richard Charles, Freitas, Alberto, Fukumoto, Takeshi, Furtado, João M, Gaal, Peter Andras, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Gaihre, Santosh, Galali, Yaseen, Ganbat, Mandukhai, Gandhi, Aravind P, Ganesan, Balasankar, Ganie, Mohd Ashraf, Ganiyani, Mohammad Arfat, Gardner, William M, Gebi, Tilaye Gebru, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Gebremariam, Tesfay B B, Gebremeskel, Teferi Gebru, Gela, Yibeltal Yismaw, Georgescu, Simona Roxana, Getachew Obsa, Abera, Gething, Peter W, Getie, Molla, Ghadiri, Keyghobad, Ghadirian, Fataneh, Ghailan, Khalid Yaser, Ghajar, Alireza, Ghasemi, MohammadReza, Ghasempour Dabaghi, Ghazal, Ghasemzadeh, Afsaneh, Ghazy, Ramy Mohamed, Gholamrezanezhad, Ali, Ghorbani, Mahsa, Ghotbi, Elena, Gibson, Ruth Margaret, Gill, Tiffany K, Ginindza, Themba G, Girmay, Alem, Glasbey, James C, Göbölös, Laszlo, Godinho, Myron Anthony, Goharinezhad, Salime, Goldust, Mohamad, Golechha, Mahaveer, Goleij, Pouya, Gona, Philimon N, Gorini, Giuseppe, Goulart, Alessandra C, Grada, Ayman, Grivna, Michal, Guan, Shi-Yang, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Gudeta, Mesay Dechasa, Guha, Avirup, Guicciardi, Stefano, Gulati, Snigdha, Gulisashvili, David, Gunawardane, Damitha Asanga, Guo, Cui, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Ishita, Gupta, Mohak, Gupta, Rajeev, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Gutiérrez, Reyna Alma, Habibzadeh, Farrokh, Habibzadeh, Parham, Haddadi, Rasool, Hadi, Najah R, Haep, Nils, Hafezi-Nejad, Nima, Hafiz, Abdul, Hagins, Hailey, Halboub, Esam S, Halimi, Aram, Haller, Sebastian, Halwani, Rabih, Hamilton, Erin B, Hankey, Graeme J, Hannan, Md Abdul, Haque, Md Nuruzzaman, Harapan, Harapan, Haro, Josep Maria, Hartvigsen, Jan, Hasaballah, Ahmed I, Hasan, Ikramul, Hasanian, Mohammad, Hasnain, Md Saquib, Hassan, Amr, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, Hayat, Khezar, Hebert, Jeffrey J, Hegazi, Omar E, Heidari, Golnaz, Helfer, Bartosz, Hemmati, Mehdi, Hendrie, Delia, Henson, Claire A, Hezam, Kamal, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Hon, Julia, Hossain, Md Mahbub, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hsu, Johnathan M, Huang, Junjie, Hugo, Fernando N, Hushmandi, Kiavash, Hussain, Javid, Hussein, Nawfal R, Huynh, Chantal K, Huynh, Hong-Han, Hwang, Bing-Fang, Iannucci, Vincent C, Ihler, Audrey L, Ikiroma, Adalia I, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Irham, Lalu Muhammad, Islam, Md Rabiul, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, Iwu, Chidozie C D, Iyer, Mahalaxmi, Jaafari, Jalil, Jacobsen, Kathryn H, Jadidi-Niaragh, Farhad, Jafarinia, Morteza, Jaggi, Khushleen, Jahankhani, Kasra, Jahanmehr, Nader, Jahrami, Haitham, Jain, Akhil, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jatau, Abubakar Ibrahim, Javadov, Sabzali, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jee, Sun Ha, Jeganathan, Jayakumar, Jeyakumar, Angeline, Jha, Anil K, Jiang, Heng, Jin, Yinzi, Jonas, Jost B, Joo, Tamas, Joseph, Abel, Joseph, Nitin, Joshua, Charity Ehimwenma, Jozwiak, Jacek Jerzy, Jürisson, Mikk, K, Vaishali, Kaambwa, Billingsley, Kabir, Ali, Kabir, Zubair, Kadashetti, Vidya, Kalani, Rizwan, Kalankesh, Leila R, Kaliyadan, Feroze, Kalra, Sanjay, Kamenov, Kaloyan, Kamyari, Naser, Kanagasabai, Thanigaivelan, Kandel, Himal, Kanmanthareddy, Arun R, Kanmodi, Kehinde Kazeem, Kantar, Rami S, Karaye, Ibraheem M, Karim, Asima, Karimi, Salah Eddin, Karimi, Yeganeh, Kasraei, Hengameh, Kassel, Molly B, Kauppila, Joonas H, Kawakami, Norito, Kayode, Gbenga A, Kazemi, Foad, Kazemian, Sina, Keikavoosi-Arani, Leila, Keller, Cathleen, Kempen, John H, Kerr, Jessica A, Keshtkar, Kamyab, Kesse-Guyot, Emmanuelle, Keykhaei, Mohammad, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalid, Asaad, Khalid, Nauman, Khalilian, Alireza, Khamesipour, Faham, Khan, Asaduzzaman, Khan, Ikramullah, Khan, Maseer, Khan, Moien AB, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khatami, Fatemeh, Khatatbeh, Moawiah Mohammad, Khater, Amir M, Khayat Kashani, Hamid Reza, Khidri, Feriha Fatima, Khodadoust, Elaheh, Khormali, Moein, Khorrami, Zahra, Kifle, Zemene Demelash, Kim, Min Seo, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Knudsen, Ann Kristin Skrindo, Kocarnik, Jonathan M, Kochhar, Sonali, Koh, Hyun Yong, Kolahi, Ali-Asghar, Kompani, Farzad, Koren, Gerbrand, Korzh, Oleksii, Kosen, Soewarta, Koulmane Laxminarayana, Sindhura Lakshmi, Krishan, Kewal, Krishna, Varun, Krishnamoorthy, Vijay, Kuate Defo, Barthelemy, Kuddus, Md Abdul, Kuddus, Mohammed, Kuitunen, Ilari, Kulkarni, Vishnutheertha, Kumar, Manasi, Kumar, Nithin, Kumar, 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Theo, and Murray, Christopher J L
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- 2024
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12. Health-related quality of life in subjective cognitive decline and mild cognitive impairment: a longitudinal cohort analysis
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Aye, Sandar, Bouteloup, Vincent, Tate, Ashley, Wimo, Anders, Handels, Ron, Jean, Delphine, Winblad, Bengt, and Jönsson, Linus
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- 2023
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13. New International Pharmaco-Economic Collaboration on Alzheimer's Disease (IPECAD) Open-Source Model Framework for the Health Technology Assessment of Early Alzheimer’s Disease Treatment: Development and Use Cases
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Handels, Ron, Herring, William L., Grimm, Sabine, Sköldunger, Anders, Winblad, Bengt, Wimo, Anders, and Jönsson, Linus
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- 2024
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14. The Costs of Dementia in Europe: An Updated Review and Meta-analysis
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Jönsson, Linus, Tate, Ashley, Frisell, Oskar, and Wimo, Anders
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- 2023
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15. The affordability of lecanemab, an amyloid-targeting therapy for Alzheimer's disease: an EADC-EC viewpoint
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Jönsson, Linus, Wimo, Anders, Handels, Ron, Johansson, Gunilla, Boada, Mercè, Engelborghs, Sebastiaan, Frölich, Lutz, Jessen, Frank, Kehoe, Patrick Gavin, Kramberger, Milica, de Mendonςa, Alexandre, Ousset, Pierre Jean, Scarmeas, Nikolaos, Visser, Pieter Jelle, Waldemar, Gunhild, and Winblad, Bengt
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- 2023
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16. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Yazdanpanah, Mohammad Hosein, Ye, Pengpeng, Yehualashet, Sisay Shewasinad, Yesuf, Subah Abderehim, Yezli, Saber, Yiğit, Arzu, Yiğit, Vahit, Yigzaw, Zeamanuel Anteneh, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Yu, Yong, Yusuf, Hadiza, Zahid, Mondal Hasan, Zakham, Fathiah, Zaki, Leila, Zaki, Nazar, Zaman, Burhan Abdullah, Zamora, Nelson, Zand, Ramin, Zandieh, Ghazal G Z, Zar, Heather J, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zhang, Haijun, Zhang, Ning, Zhang, Yunquan, Zhao, Hanqing, Zhong, Chenwen, Zhong, Panliang, Zhou, Juexiao, Zhu, Zhaohua, Ziafati, Makan, Zielińska, Magdalena, Zimsen, Stephanie R M, Zoladl, Mohammad, Zumla, Alimuddin, Zyoud, Samer H, Vos, Theo, and Murray, Christopher J L
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- 2024
17. CHAPTER 12 MES 56: Souvenirs from the Past
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Ambala Bayang, Wimo, primary
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- 2022
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18. Slovenian Memory Clinic Organization with the Introduction of Potential New Alzheimer’s Disease Treatment
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Zupanic, Eva, primary, Emersic, Andreja, additional, Wimo, Anders, additional, Winblad, Bengt, additional, Speh, Andreja, additional, and Kramberger, Milica Gregoric, additional
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- 2024
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19. MES 56
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Bayang, Wimo Ambala, primary
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- 2022
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20. Changes in dementia diagnoses in Sweden during the COVID-19 pandemic
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Axenhus, Michael, Schedin-Weiss, Sophia, Tjernberg, Lars, Wimo, Anders, Eriksdotter, Maria, Bucht, Gustaf, and Winblad, Bengt
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- 2022
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21. Cost of diagnosing and treating cognitive complaints: One-year cost-evaluation study in a patient cohort from a Slovenian memory clinic
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Županič Eva, Wimo Anders, Winblad Bengt, and Kramberger Milica Gregorič
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cognitive impairments ,dementia ,costs of illness ,kognitivne motnje ,demenca ,ocena stroškov ,Public aspects of medicine ,RA1-1270 - Abstract
Dementias present a global health challenge and give rise to significant economic costs. This study aims to evaluate the economic impact of one-year outpatient healthcare, nursing home, and formal and informal home help costs for all patients referred to the Centre for Cognitive Impairments at the Department of Neurology, Ljubljana University Medical Centre, Slovenia.
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- 2022
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22. Global and regional spending on dementia care from 2000–2019 and expected future health spending scenarios from 2020–2050: An economic modelling exercise
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Pedroza, Paola, Miller-Petrie, Molly K, Chen, Carina, Chakrabarti, Suman, Chapin, Abigail, Hay, Simon, Tsakalos, Golsum, Wimo, Anders, and Dieleman, Joseph L
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- 2022
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23. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019
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Nichols, Emma, Steinmetz, Jaimie D, Vollset, Stein Emil, Fukutaki, Kai, Chalek, Julian, Abd-Allah, Foad, Abdoli, Amir, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Akram, Tayyaba Tayyaba, Al Hamad, Hanadi, Alahdab, Fares, Alanezi, Fahad Mashhour, Alipour, Vahid, Almustanyir, Sami, Amu, Hubert, Ansari, Iman, Arabloo, Jalal, Ashraf, Tahira, Astell-Burt, Thomas, Ayano, Getinet, Ayuso-Mateos, Jose L, Baig, Atif Amin, Barnett, Anthony, Barrow, Amadou, Baune, Bernhard T, Béjot, Yannick, Bezabhe, Woldesellassie M Mequanint, Bezabih, Yihienew Mequanint, Bhagavathula, Akshaya Srikanth, Bhaskar, Sonu, Bhattacharyya, Krittika, Bijani, Ali, Biswas, Atanu, Bolla, Srinivasa Rao, Boloor, Archith, Brayne, Carol, Brenner, Hermann, Burkart, Katrin, Burns, Richard A, Cámera, Luis Alberto, Cao, Chao, Carvalho, Felix, Castro-de-Araujo, Luis F S, Catalá-López, Ferrán, Cerin, Ester, Chavan, Prachi P, Cherbuin, Nicolas, Chu, Dinh-Toi, Costa, Vera Marisa, Couto, Rosa A S, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, De la Cruz-Góngora, Vanessa, Dhamnetiya, Deepak, Dias da Silva, Diana, Diaz, Daniel, Douiri, Abdel, Edvardsson, David, Ekholuenetale, Michael, El Sayed, Iman, El-Jaafary, Shaimaa I, Eskandari, Khalil, Eskandarieh, Sharareh, Esmaeilnejad, Saman, Fares, Jawad, Faro, Andre, Farooque, Umar, Feigin, Valery L, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Ferrara, Pietro, Filip, Irina, Fillit, Howard, Fischer, Florian, Gaidhane, Shilpa, Galluzzo, Lucia, Ghashghaee, Ahmad, Ghith, Nermin, Gialluisi, Alessandro, Gilani, Syed Amir, Glavan, Ionela-Roxana, Gnedovskaya, Elena V, Golechha, Mahaveer, Gupta, Rajeev, Gupta, Veer Bala, Gupta, Vivek Kumar, Haider, Mohammad Rifat, Hall, Brian J, Hamidi, Samer, Hanif, Asif, Hankey, Graeme J, Haque, Shafiul, Hartono, Risky Kusuma, Hasaballah, Ahmed I, Hasan, M Tasdik, Hassan, Amr, Hay, Simon I, Hayat, Khezar, Hegazy, Mohamed I, Heidari, Golnaz, Heidari-Soureshjani, Reza, Herteliu, Claudiu, Househ, Mowafa, Hussain, Rabia, Hwang, Bing-Fang, Iacoviello, Licia, Iavicoli, Ivo, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Irvani, Seyed Sina Naghibi, Iso, Hiroyasu, Iwagami, Masao, Jabbarinejad, Roxana, Jacob, Louis, Jain, Vardhmaan, Jayapal, Sathish Kumar, Jayawardena, Ranil, Jha, Ravi Prakash, Jonas, Jost B, Joseph, Nitin, Kalani, Rizwan, Kandel, Amit, Kandel, Himal, Karch, André, Kasa, Ayele Semachew, Kassie, Gizat M, Keshavarz, Pedram, Khan, Moien AB, Khatib, Mahalaqua Nazli, Khoja, Tawfik Ahmed Muthafer, Khubchandani, Jagdish, Kim, Min Seo, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kivimäki, Mika, Koroshetz, Walter J, Koyanagi, Ai, Kumar, G Anil, Kumar, Manasi, Lak, Hassan Mehmood, Leonardi, Matilde, Li, Bingyu, Lim, Stephen S, Liu, Xuefeng, Liu, Yuewei, Logroscino, Giancarlo, Lorkowski, Stefan, Lucchetti, Giancarlo, Lutzky Saute, Ricardo, Magnani, Francesca Giulia, Malik, Ahmad Azam, Massano, João, Mehndiratta, Man Mohan, Menezes, Ritesh G, Meretoja, Atte, Mohajer, Bahram, Mohamed Ibrahim, Norlinah, Mohammad, Yousef, Mohammed, Arif, Mokdad, Ali H, Mondello, Stefania, Moni, Mohammad Ali Ali, Moniruzzaman, Md, Mossie, Tilahun Belete, Nagel, Gabriele, Naveed, Muhammad, Nayak, Vinod C, Neupane Kandel, Sandhya, Nguyen, Trang Huyen, Oancea, Bogdan, Otstavnov, Nikita, Otstavnov, Stanislav S, Owolabi, Mayowa O, Panda-Jonas, Songhomitra, Pashazadeh Kan, Fatemeh, Pasovic, Maja, Patel, Urvish K, Pathak, Mona, Peres, Mario F P, Perianayagam, Arokiasamy, Peterson, Carrie B, Phillips, Michael R, Pinheiro, Marina, Piradov, Michael A, Pond, Constance Dimity, Potashman, Michele H, Pottoo, Faheem Hyder, Prada, Sergio I, Radfar, Amir, Raggi, Alberto, Rahim, Fakher, Rahman, Mosiur, Ram, Pradhum, Ranasinghe, Priyanga, Rawaf, David Laith, Rawaf, Salman, Rezaei, Nima, Rezapour, Aziz, Robinson, Stephen R, Romoli, Michele, Roshandel, Gholamreza, Sahathevan, Ramesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sathian, Brijesh, Sattin, Davide, Sawhney, Monika, Saylan, Mete, Schiavolin, Silvia, Seylani, Allen, Sha, Feng, Shaikh, Masood Ali, Shaji, KS, Shannawaz, Mohammed, Shetty, Jeevan K, Shigematsu, Mika, Shin, Jae Il, Shiri, Rahman, Silva, Diego Augusto Santos, Silva, João Pedro, Silva, Renata, Singh, Jasvinder A, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Smith, Amanda E, Soshnikov, Sergey, Spurlock, Emma Elizabeth, Stein, Dan J, Sun, Jing, Tabarés-Seisdedos, Rafael, Thakur, Bhaskar, Timalsina, Binod, Tovani-Palone, Marcos Roberto, Tran, Bach Xuan, Tsegaye, Gebiyaw Wudie, Valadan Tahbaz, Sahel, Valdez, Pascual R, Venketasubramanian, Narayanaswamy, Vlassov, Vasily, Vu, Giang Thu, Vu, Linh Gia, Wang, Yuan-Pang, Wimo, Anders, Winkler, Andrea Sylvia, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zadey, Siddhesh, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Murray, Christopher J L, and Vos, Theo
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- 2022
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24. Multimodal Preventive Trial for Alzheimer’s Disease: MIND-ADmini Pilot Trial Study Design and Progress
- Author
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Sindi, S., Thunborg, C., Rosenberg, A., Andersen, P., Andrieu, S., Broersen, L. M., Coley, N., Couderc, C., Duval, C. Z., Faxen-Irving, G., Hagman, G., Hallikainen, M., Håkansson, K., Lehtisalo, J., Levak, N., Mangialasche, F., Pantel, J., Kekkonen, E., Rydström, A., Stigsdotter-Neely, A., Wimo, A., Ngandu, T., Soininen, H., Hartmann, T., Solomon, A., and Kivipelto, Miia
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- 2022
- Full Text
- View/download PDF
25. Response and Adherence of Nursing Home Residents to a Nutrition/Exercise Intervention
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Karlsson, Emelie S., Grönstedt, Helena K., Faxén-Irving, Gerd, Franzén, Erika, Luiking, Yvette C., Seiger, Åke, Vikström, Sofia, Wimo, Anders, Cederholm, Tommy E., and Boström, Anne-Marie
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- 2021
- Full Text
- View/download PDF
26. A validation study of the ICECAP-O in informal carers of people with dementia from eight European Countries
- Author
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Perry-Duxbury, Meg, van Exel, Job, Brouwer, Werner, Sköldunger, Anders, Gonçalves-Pereira, Manuel, Irving, Kate, Meyer, Gabriele, Selbæk, Geir, Woods, Bob, Zanetti, Orazio, Verhey, Frans, Wimo, Anders, and Handels, Ron L.H.
- Published
- 2020
27. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Ferrari, AJ, Santomauro, DF, Aali, A, Abate, YH, Abbafati, C, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdollahi, A, Abdullahi, A, Abegaz, KH, Abeldaño Zuñiga, RA, Aboagye, RG, Abolhassani, H, Abreu, LG, Abualruz, H, Abu-Gharbieh, E, Abu-Rmeileh, NME, Ackerman, IN, Addo, IY, Addolorato, G, Adebiyi, AO, Adepoju, AV, Adewuyi, HO, Afyouni, S, Afzal, S, Agodi, A, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, S, Ahmed, A, Ahmed, LA, Ahmed, MB, Ajami, M, Akinosoglou, K, Akkaif, MA, Al Hasan, SM, Alalalmeh, SO, Al-Aly, Z, Albashtawy, M, Aldridge, RW, Alemu, MD, Alemu, YM, Alene, KA, Al-Gheethi, AAS, Alharrasi, M, Alhassan, RK, Ali, MU, Ali, R, Ali, SSS, Alif, SM, Aljunid, SM, Al-Marwani, S, Almazan, JU, Alomari, MA, Al-Omari, B, Altaany, Z, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Alwafi, H, Al-Wardat, MS, Al-Worafi, YM, Aly, S, Alzoubi, KH, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Ansari, H, Antony, CM, Anwar, S, Anwar, SL, Anwer, R, Anyanwu, PE, Arab, JP, Arabloo, J, Arafat, M, Araki, DT, Aravkin, AY, Arkew, M, Armocida, B, Arndt, MB, Arooj, M, Artamonov, AA, Aruleba, RT, Arumugam, A, Ashbaugh, C, Ashemo, MY, Ashraf, M, Asika, MO, Askari, E, Astell-Burt, T, Athari, SS, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awotidebe, AW, Awuviry-Newton, K, Ayala Quintanilla, BP, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bah, S, Bai, R, Baker, JL, Bakkannavar, SM, Bako, AT, Balakrishnan, S, Bam, K, Banik, PC, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Barqawi, HJ, Barrow, A, Barteit, S, Barua, L, Bashiri Aliabadi, S, Basiru, A, Basu, S, Bathini, PP, Batra, K, Baune, BT, Bayileyegn, NS, Behnam, B, Behnoush, AH, Beiranvand, M, Bejarano Ramirez, DF, Bell, ML, Bello, OO, Beloukas, A, Bensenor, IM, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Bhandari, D, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Bitra, VR, Bjørge, T, Bodolica, V, Bodunrin, AO, Bogale, EK, Bonakdar Hashemi, M, Bonny, A, Bora Basara, B, Borhany, H, Boxe, C, Brady, OJ, Bragazzi, NL, Braithwaite, D, Brant, LC, Brauer, M, Breitner, S, Brenner, H, Brown, J, Brugha, T, Bulamu, NB, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Bustanji, Y, Butt, ZA, Byun, J, Caetano dos Santos, FL, Calina, D, Cámera, LA, Campos-Nonato, IR, Cao, C, Capodici, A, Carr, S, Carreras, G, Carugno, A, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catapano, AL, Cattaruzza, MS, Caye, A, Cegolon, L, Cembranel, F, Cenderadewi, M, Cerin, E, Chakraborty, PA, Chan, JSK, Chan, RNC, Chandika, RM, Chandrasekar, EK, Charalampous, P, Chattu, VK, Chatzimavridou-Grigoriadou, V, Chen, AW, Chen, A-T, Chen, CS, Chen, H, Chen, NM, Cheng, ETW, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Cho, WCS, Choi, S, Chong, B, Chong, YY, Choudhari, SG, Chowdhury, R, Christensen, SWM, Chu, D-T, Chukwu, IS, Chung, E, Chutiyami, M, Claassens, MM, Cogen, RM, Columbus, A, Conde, J, Cortesi, PA, Cousin, E, Criqui, MH, Cruz-Martins, N, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalaba, MA, Damiani, G, Das, JK, Das, S, Dashti, M, Dávila-Cervantes, CA, Davletov, K, De Leo, D, Debele, AT, Debopadhaya, S, DeCleene, NK, Deeba, F, Degenhardt, L, Del Bo', C, Delgado-Enciso, I, Demetriades, AK, Denova-Gutiérrez, E, Dervenis, N, Desai, HD, Desai, R, Deuba, K, Dhama, K, Dharmaratne, SD, Dhingra, S, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Ding, DD, Dirac, MA, Do, THP, do Prado, CB, Dohare, S, Dominguez, R-MV, Dong, W, Dongarwar, D, D'Oria, M, Dorsey, ER, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, HL, Dsouza, V, Dube, J, Dumith, SC, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dzianach, PA, Dziedzic, AM, Eboreime, E, Ebrahimi, A, Edinur, HA, Edvardsson, D, Eikemo, TA, Eini, E, Ekholuenetale, M, Ekundayo, TC, El Sayed, I, El Tantawi, M, Elbarazi, I, Elemam, NM, ElGohary, GMT, Elhadi, M, Elmeligy, OAA, ELNahas, G, Elshaer, M, Elsohaby, I, Engelbert Bain, L, Erkhembayar, R, Eshrati, B, Estep, K, Fabin, N, Fagbamigbe, AF, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faro, A, Farrokhi, P, Fatehizadeh, A, Fauk, NK, Feigin, VL, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferreira, N, Ferreira, PH, Fischer, F, Flavel, J, Flood, D, Flor, LS, Foigt, NA, Folayan, MO, Force, LM, Fortuna, D, Foschi, M, Franklin, RC, Freitas, A, Fukumoto, T, Furtado, JM, Gaal, PA, Gadanya, MA, Gaidhane, AM, Gaihre, S, Galali, Y, Ganbat, M, Gandhi, AP, Ganesan, B, Ganie, MA, Ganiyani, MA, Gardner, WM, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Gebremariam, TBB, Gebremeskel, TG, Gela, YY, Georgescu, SR, Getachew Obsa, A, Gething, PW, Getie, M, Ghadiri, K, Ghadirian, F, Ghailan, KY, Ghajar, A, Ghasemi, M, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghazy, RM, Gholamrezanezhad, A, Ghorbani, M, Ghotbi, E, Gibson, RM, Gill, TK, Ginindza, TG, Girmay, A, Glasbey, JC, Göbölös, L, Godinho, MA, Goharinezhad, S, Goldust, M, Golechha, M, Goleij, P, Gona, PN, Gorini, G, Goulart, AC, Grada, A, Grivna, M, Guan, S-Y, Guarducci, G, Gubari, MIM, Gudeta, MD, Guha, A, Guicciardi, S, Gulati, S, Gulisashvili, D, Gunawardane, DA, Guo, C, Gupta, AK, Gupta, B, Gupta, I, Gupta, M, Gupta, R, Gupta, VB, Gupta, VK, Gutiérrez, RA, Habibzadeh, F, Habibzadeh, P, Haddadi, R, Hadi, NR, Haep, N, Hafezi-Nejad, N, Hafiz, A, Hagins, H, Halboub, ES, Halimi, A, Haller, S, Halwani, R, Hamilton, EB, Hankey, GJ, Hannan, MA, Haque, MN, Harapan, H, Haro, JM, Hartvigsen, J, Hasaballah, AI, Hasan, I, Hasanian, M, Hasnain, MS, Hassan, A, Haubold, J, Havmoeller, RJ, Hay, SI, Hayat, K, Hebert, JJ, Hegazi, OE, Heidari, G, Helfer, B, Hemmati, M, Hendrie, D, Henson, CA, Hezam, K, Hiraike, Y, Hoan, NQ, Holla, R, Hon, J, Hossain, MM, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hsu, JM, Huang, J, Hugo, FN, Hushmandi, K, Hussain, J, Hussein, NR, Huynh, CK, Huynh, H-H, Hwang, B-F, Iannucci, VC, Ihler, AL, Ikiroma, AI, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Irham, LM, Islam, MR, Islam, SMS, Islami, F, Ismail, F, Ismail, NE, Isola, G, Iwagami, M, Iwu, CCD, Iyer, M, Jaafari, J, Jacobsen, KH, Jadidi-Niaragh, F, Jafarinia, M, Jaggi, K, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Jairoun, AA, Jaiswal, A, Jakovljevic, M, Jatau, AI, Javadov, S, Javaheri, T, Jayapal, SK, Jayaram, S, Jee, SH, Jeganathan, J, Jeyakumar, A, Jha, AK, Jiang, H, Jin, Y, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Joshua, CE, Jozwiak, JJ, Jürisson, M, K, V, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kalani, R, Kalankesh, LR, Kaliyadan, F, Kalra, S, Kamenov, K, Kamyari, N, Kanagasabai, T, Kandel, H, Kanmanthareddy, AR, Kanmodi, KK, Kantar, RS, Karaye, IM, Karim, A, Karimi, SE, Karimi, Y, Kasraei, H, Kassel, MB, Kauppila, JH, Kawakami, N, Kayode, GA, Kazemi, F, Kazemian, S, Keikavoosi-Arani, L, Keller, C, Kempen, JH, Kerr, JA, Keshtkar, K, Kesse-Guyot, E, Keykhaei, M, Khajuria, H, Khalaji, A, Khalid, A, Khalid, N, Khalilian, A, Khamesipour, F, Khan, A, Khan, I, Khan, M, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatami, F, Khatatbeh, MM, Khater, AM, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khormali, M, Khorrami, Z, Kifle, ZD, Kim, MS, Kimokoti, RW, Kisa, A, Kisa, S, Knudsen, AKS, Kocarnik, JM, Kochhar, S, Koh, HY, Kolahi, A-A, Kompani, F, Koren, G, Korzh, O, Kosen, S, Koulmane Laxminarayana, SL, Krishan, K, Krishna, V, Krishnamoorthy, V, Kuate Defo, B, Kuddus, MA, Kuddus, M, Kuitunen, I, Kulkarni, V, Kumar, M, Kumar, N, Kumar, R, Kurmi, OP, Kusuma, D, Kyu, HH, La Vecchia, C, Lacey, B, Ladan, MA, Laflamme, L, Lafranconi, A, Lahariya, C, Lai, DTC, Lal, DK, Lalloo, R, Lallukka, T, Lám, J, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Langguth, B, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lauriola, P, Le, H-H, Le, LKD, Le, NHH, Le, TDT, Leasher, JL, Ledda, C, Lee, M, Lee, PH, Lee, S-W, Lee, SW, Lee, W-C, Lee, YH, LeGrand, KE, Lenzi, J, Leong, E, Leung, J, Li, M-C, Li, W, Li, X, Li, Y, Lim, L-L, Lim, SS, Lindstrom, M, Linn, S, Liu, G, Liu, R, Liu, S, Liu, W, Liu, X, Llanaj, E, Lo, C-H, López-Bueno, R, Loreche, AM, Lorenzovici, L, Lozano, R, Lubinda, J, Lucchetti, G, Lunevicius, R, Lusk, JB, lv, H, Ma, ZF, Machairas, N, Madureira-Carvalho, ÁM, Magaña Gómez, JA, Maghazachi, AA, Maharjan, P, Mahasha, PW, Maheri, M, Mahjoub, S, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makris, KC, Malakan Rad, E, Malhotra, K, Malik, AA, Malik, I, Malta, DC, Manla, Y, Mansour, A, Mansouri, P, Mansournia, MA, Mantilla Herrera, AM, Mantovani, LG, Manu, E, Marateb, HR, Mardi, P, Martinez, G, Martinez-Piedra, R, Martini, D, Martins-Melo, FR, Martorell, M, Marx, W, Maryam, S, Marzo, RR, Mathangasinghe, Y, Mathieson, S, Mathioudakis, AG, Mattumpuram, J, Maugeri, A, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, McKee, M, 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R, Misganaw, A, Mishra, AK, Mitchell, PB, Mittal, C, Moazen, B, Moberg, ME, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammadi, E, Mohammadi, S, Mohammed, H, Mohammed, S, Mohr, RM, Mokdad, AH, Molinaro, S, Momtazmanesh, S, Monasta, L, Mondello, S, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moradi-Lakeh, M, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Morze, J, Mosapour, A, Mosser, JF, Mossialos, E, Motappa, R, Mougin, V, Mouodi, S, Mrejen, M, Msherghi, A, Mubarik, S, Mueller, UO, Mulita, F, Munjal, K, Murillo-Zamora, E, Murlimanju, BV, Mustafa, G, Muthu, S, Muzaffar, M, Myung, W, Nagarajan, AJ, Naghavi, P, Naik, GR, Nainu, F, Nair, S, Najmuldeen, HHR, Nangia, V, Naqvi, AA, Narayana, AI, Nargus, S, Nascimento, GG, Nashwan, AJ, Nasrollahizadeh, A, Natto, ZS, Nayak, BP, Nayak, VC, Nduaguba, SO, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nesbit, OD, Netsere, HB, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, DH, Nguyen, HQ, Niazi, RK, Nikolouzakis, TK, Nikoobar, A, Nikoomanesh, F, Nikpoor, AR, Nnaji, CA, Nnyanzi, LA, Noman, EA, Nomura, S, Norrving, B, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nurrika, D, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Odetokun, IA, O'Donnell, MJ, Oguntade, AS, Oguta, JO, Okati-Aliabad, H, Okeke, SR, Okekunle, AP, Okonji, OC, Olagunju, AT, Olasupo, OO, Olatubi, MI, Oliveira, GMM, Olufadewa, II, Olusanya, BO, Olusanya, JO, Omar, HA, Omer, GL, Omonisi, AEE, Onie, S, Onwujekwe, OE, Ordak, M, Orish, VN, Ortega-Altamirano, DV, Ortiz, A, Ortiz-Brizuela, E, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Ouyang, G, Owolabi, MO, P A, MP, Padron-Monedero, A, Padubidri, JR, Palicz, T, Palladino, C, Pan, F, Pandi-Perumal, SR, Pangaribuan, HU, Panos, GD, Panos, LD, Pantea Stoian, AM, Pardhan, S, Parikh, RR, Pashaei, A, Pasovic, M, Passera, R, Patel, J, Patel, SK, Patil, S, Patoulias, D, Patthipati, VS, Pawar, S, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Peng, M, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Perdigão, J, Pereira, MO, Perianayagam, A, Perico, N, Pesudovs, K, Petermann-Rocha, FE, Petri, WA, Pham, HT, Philip, AK, Phillips, MR, Pigeolet, M, Pigott, DM, Pillay, JD, Piracha, ZZ, Pirouzpanah, S, Plass, D, Plotnikov, E, Poddighe, D, Polinder, S, Postma, MJ, Pourtaheri, N, Prada, SI, Pradhan, PMS, Prakash, V, Prasad, M, Prates, EJS, Priscilla, T, Pritchett, N, Puri, P, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rabiee Rad, M, Radhakrishnan, RA, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raghav, PR, Rahim, MJ, Rahman, MM, Rahman, MHU, Rahman, M, Rahman, MA, Rahmani, S, Rahmanian, M, Rahmawaty, S, Rajaa, S, Ramadan, MM, Ramasamy, SK, Ramasubramani, P, Ramazanu, S, Rana, K, Ranabhat, CL, Rancic, N, Rane, A, Rao, CR, Rao, K, Rao, M, Rao, SJ, Rashidi, M-M, Rathnaiah Babu, G, Rauniyar, SK, Rawaf, DL, Rawaf, S, Razo, C, Reddy, MMRK, Redwan, EMM, Reifels, L, Reiner Jr, RC, Remuzzi, G, Renzaho, AMN, Reshmi, B, Reyes, LF, Rezaei, N, Rezaei Hachesu, P, Rezaeian, M, Rickard, J, Rodrigues, CF, Rodriguez, JAB, Roever, L, Ronfani, L, Roshandel, G, Rotimi, K, Rout, HS, Roy, B, Roy, N, Roy, P, Rubagotti, E, S N, C, Saad, AMA, Saber-Ayad, MM, Sabour, S, Sacco, S, Sachdev, PS, Saddik, B, Saddler, A, Sadee, BA, Sadeghi, E, Sadeghi, M, Saeb, MR, Saeed, U, Safi, SZ, Sagar, R, Sagoe, D, Saif, Z, Sajid, MR, Sakshaug, JW, Salam, N, Salami, AA, Salaroli, LB, Saleh, MA, Salem, MR, Salem, MZY, Sallam, M, Samadzadeh, S, Samargandy, S, Samodra, YL, Samy, AM, Sanabria, J, Sanna, F, Santos, IS, Santric-Milicevic, MM, Sarasmita, MA, Sarikhani, Y, Sarmiento-Suárez, R, Sarode, GS, Sarode, SC, Sarveazad, A, Sathian, B, Sathyanarayan, A, Satpathy, M, Sawhney, M, Scarmeas, N, Schaarschmidt, BM, Schmidt, MI, Schneider, IJC, Schumacher, AE, Schwebel, DC, Schwendicke, F, Sedighi, M, Senapati, S, Senthilkumaran, S, Sepanlou, SG, Sethi, Y, Setoguchi, S, Seylani, A, Shadid, J, Shafie, M, Shah, H, Shah, NS, Shah, PA, Shahbandi, A, Shahid, S, Shahid, W, Shahwan, MJ, Shaikh, MA, Shakeri, A, Shalash, AS, Sham, S, Shamim, MA, Shamshirgaran, MA, Shamsi, MA, Shanawaz, M, Shankar, A, Shannawaz, M, Sharath, M, Sharifan, A, Sharifi-Rad, J, Sharma, M, Sharma, R, Sharma, S, Sharma, U, Sharma, V, Shastry, RP, Shavandi, A, Shayan, AM, Shayan, M, Shehabeldine, AME, Shetty, PH, Shibuya, K, Shifa, JE, Shiferaw, D, Shiferaw, WS, Shigematsu, M, Shiri, R, Shitaye, NA, Shittu, A, Shivakumar, KM, Shivarov, V, Shokati Eshkiki, Z, Shool, S, Shrestha, S, Shuval, K, Sibhat, MM, Siddig, EE, Sigfusdottir, ID, Silva, DAS, Silva, JP, Silva, LMLR, Silva, S, Simpson, CR, Singal, A, Singh, A, Singh, BB, Singh, H, Singh, JA, Singh, M, Singh, P, Skou, ST, Sleet, DA, Slepak, ELN, Solanki, R, Soliman, SSM, Song, S, Song, Y, Sorensen, RJD, Soriano, JB, Soyiri, IN, Spartalis, M, Sreeramareddy, CT, Stark, BA, Starodubova, AV, Stein, C, Stein, DJ, Steiner, C, Steiner, TJ, Steinmetz, JD, Steiropoulos, P, Stockfelt, L, Stokes, MA, Subedi, NS, Subramaniyan, V, Suemoto, CK, Suleman, M, Suliankatchi Abdulkader, R, Sultana, A, Sundström, J, Swain, CK, Szarpak, L, Tabaee Damavandi, P, Tabarés-Seisdedos, R, Tabatabaei Malazy, O, Tabatabaeizadeh, S-A, Tabatabai, S, Tabche, C, Tabish, M, Tadakamadla, SK, Taheri Abkenar, Y, Taheri Soodejani, M, Taherkhani, A, Taiba, J, Talaat, IM, Talukder, A, Tampa, M, Tamuzi, JL, Tan, K-K, Tandukar, S, Tang, H, Tavakoli Oliaee, R, Tavangar, SM, Teimoori, M, Temsah, M-H, Teramoto, M, Thangaraju, P, Thankappan, KR, Thapar, R, Thayakaran, R, Thirunavukkarasu, S, Thomas, N, Thomas, NK, Thum, CCC, Tichopad, A, Ticoalu, JHV, Tillawi, T, Tiruye, TY, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Torre, AE, Touvier, M, Tovani-Palone, MR, Tran, JT, Tran, MTN, Tran, NM, Tran, N-H, Trico, D, Tromans, SJ, Truyen, TTTT, Tsatsakis, A, Tsegay, GM, Tsermpini, EE, Tumurkhuu, M, Tyrovolas, S, Udoh, A, Umair, M, Umakanthan, S, Umar, TP, Undurraga, EA, Unim, B, Unnikrishnan, B, Unsworth, CA, Upadhyay, E, Urso, D, Usman, JS, Vahabi, SM, Vaithinathan, AG, Van den Eynde, J, Varga, O, Varma, RP, Vart, P, Vasankari, TJ, Vasic, M, Vaziri, S, Vellingiri, B, Venketasubramanian, N, Veroux, M, Verras, G-I, Vervoort, D, Villafañe, JH, Violante, FS, Vlassov, V, Vollset, SE, Volovat, SR, Vongpradith, A, Waheed, Y, Wang, C, Wang, F, Wang, N, Wang, S, Wang, Y, Wang, Y-P, Ward, P, Wassie, EG, Weaver, MR, Weerakoon, KG, Weintraub, RG, Weiss, DJ, Weldemariam, AH, Wells, KM, Wen, YF, Whisnant, JL, Whiteford, HA, Wiangkham, T, Wickramasinghe, DP, Wickramasinghe, ND, Wilandika, A, Wilkerson, C, Willeit, P, Wimo, A, Woldegebreal, DH, Wolf, AW, Wong, YJ, Woolf, AD, Wu, C, Wu, F, Wu, X, Wu, Z, Wulf Hanson, S, Xia, Y, Xiao, H, Xu, X, Xu, YY, Yadav, L, Yadollahpour, A, Yaghoubi, S, Yamagishi, K, Yang, L, Yano, Y, Yao, Y, Yaribeygi, H, Yazdanpanah, MH, Ye, P, Yehualashet, SS, Yesuf, SA, Yezli, S, Yiğit, A, Yiğit, V, Yigzaw, ZA, Yismaw, Y, Yon, DK, Yonemoto, N, Younis, MZ, Yu, C, Yu, Y, Yusuf, H, Zahid, MH, Zakham, F, Zaki, L, Zaki, N, Zaman, BA, Zamora, N, Zand, R, Zandieh, GGZ, Zar, HJ, Zarrintan, A, Zastrozhin, MS, Zhang, H, Zhang, N, Zhang, Y, Zhao, H, Zhong, C, Zhong, P, Zhou, J, Zhu, Z, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoladl, M, Zumla, A, Zyoud, SH, Vos, T, and Murray, CJL
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- 2024
28. Profiles of Met and Unmet Needs in People with Dementia According to Caregivers’ Perspective: Results from a European Multicenter Study
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Janssen, Niels, Handels, Ron L., Köhler, Sebastian, Gonçalves-Pereira, Manuel, Marques, Maria J., Irving, Kate, Hopper, Louise, Bieber, Anja, Orrell, Martin, Selbæk, Geir, Michelet, Mona, Wimo, Anders, Zanetti, Orazio, Portolani, Daniel M., Woods, Bob, Jelley, Hannah, Evers, Silvia M.A.A., and Verhey, Frans R.J.
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- 2020
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29. Costs of diagnosing early Alzheimer's disease in three European memory clinic settings: Results from the precision medicine in Alzheimer's disease project.
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Wimo, Anders, Kirsebom, Bjørn‐Eivind, Timón‐Reina, Santiago, Vromen, Ellen, Selnes, Per, Bon, Jaka, Emersic, Andreja, Kramberger, Milica Gregoric, Speh, Andreja, Visser, Pieter Jelle, Winblad, Bengt, and Fladby, Tormod
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ALZHEIMER'S disease diagnosis , *CEREBROSPINAL fluid examination , *COST effectiveness , *COGNITIVE testing , *RESEARCH funding , *MAGNETIC resonance imaging , *POSITRON emission tomography , *DESCRIPTIVE statistics , *APOLIPOPROTEINS , *EARLY diagnosis , *INDIVIDUALIZED medicine , *CONFIDENCE intervals , *MEDICAL care costs , *BIOMARKERS - Abstract
Objectives: The implementation of disease‐modifying treatments for Alzheimer's Disease (AD) will require cost‐effective diagnostic processes. As part of The Precision Medicine In AD consortium (PMI‐AD) project, the aim is to analyze the baseline costs of diagnosing early AD at memory clinics in Norway, Slovenia, and the Netherlands. Methods: The costs of cognitive testing and a clinical examination, apolipoprotein E, magnetic resonance imaging (MRI), cerebrospinal fluid (CSF), positron emission tomography and blood‐based biomarkers (BBM), which are used in different combinations in the three countries, were analyzed. Standardized unit costs, adjusted for GDP per capita and based on Swedish conditions were applied. The costs were expressed in euros (€) as of 2019. A diagnostic set comprising clinical examination, cognitive testing, MRI and CSF was defined as the gold standard, with MRI mainly used as an exclusion filter. Results: Cost data were available for 994 persons in Norway, 169 in Slovenia and 1015 in the Netherlands. The mean diagnostic costs were 1478 (95% confidence interval 1433–1523) € in Norway, 851 (731–970) € in Slovenia and 1184 (1135–1232) € in the Netherlands. Norway had the highest unit costs but also the greatest use of tests. With a uniform diagnostic test set applied, the diagnostic costs were 1264 (1238–1291) €, in Norway, 843 (771–914) € in Slovenia and 1184 (1156–1213) € in the Netherlands. There were no major cost differences between the final set of diagnoses. Conclusions: The total costs for setting a diagnosis of AD varied somewhat in the three countries, depending on unit costs and use of tests. These costs are relatively low in comparison to the societal costs of AD. Key points: The introduction of blood‐based biomarkers for detecting Alzheimer's Disease (AD) can change the diagnostic process.Given the expected demands for treatment of cognitive disorders such as AD, the costs and capacity of the diagnostic work‐up are of great importance for care funders and planners.Our study incorporating diagnostic costs from three distinct European regions provides valuable inputs for cost‐effectiveness studies. [ABSTRACT FROM AUTHOR]
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- 2024
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30. Global and regional spending on dementia care from 2000–2019 and expected future health spending scenarios from 2020–2050: An economic modelling exercise
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Paola Pedroza Velandia, Molly K Miller-Petrie, Carina Chen, Suman Chakrabarti, Abigail Chapin, Simon Hay, Golsum Tsakalos, Anders Wimo, and Joseph L Dieleman
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Dementia ,Alzheimer's disease ,Health care spending ,Medicine (General) ,R5-920 - Abstract
Summary: Background: The global burden of dementia is increasing. As diagnosis and treatment rates increase and populations grow and age, additional diagnosed cases will present a challenge to healthcare systems globally. Even modelled estimates of the current and future healthcare spending attributable to dementia are valuable for decision makers and advocates to prepare for growing demand. Methods: We modelled healthcare spending attributable to dementia from 2000 to 2019 and expected estimated future spending from 2020 to 2050 under multiple scenarios. Data were from the Global Burden of Diseases 2019 study and from two systematic literature reviews. We used meta-regression to estimate the fraction of dementia spending that is attributable to dementia for those receiving nursing home-based care and for those receiving community-based care. We used spatiotemporal Gaussian process regression to account for data missingness and model diagnosis and treatment rates, nursing home-based care and community-based care rates, and unit costs for the many countries without their own underlying estimates. Projections of future spending estimate a baseline scenario from 2020 to 2050 based on ongoing growth. Alternative scenarios assessed faster growth rates for dementia diagnosis and treatment rates, nursing home-based care, and healthcare costs. All spending is reported in 2019 United States dollars or 2019 purchasing-power parity-adjusted dollars. Findings: Based on observed and modelled inputs, we estimated that global spending on dementia increased by 4.5% (95% uncertainty interval: 3.4–5.4%) annually from 2000 to 2019, reaching $263 billion (95% uncertainty interval [UI] $199– $333) attributable to dementia in 2019. We estimated total healthcare spending on patients with dementia was $594 billion (95% UI $457–$843). Under the baseline scenario, we estimated that attributable dementia spending will reach $1.6 trillion (95% UI $0.9–$2.6) by 2050. We project it will represent 11% (95% UI 6–18%) of all expected health spending, although it could be as high as 17% (95% UI 10–26%) under alternative scenarios. Interpretation: Health systems will experience increases in the burden of dementia in the near future. These modelled direct cost estimates, built from a relatively small set of data and linear time trends, highlight the magnitude of health system resources expected to be used to provide care and ensure sufficient and adequate resources for aging populations and their caretakers. More data are needed to corroborate these important trends.
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- 2022
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31. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019
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Emma Nichols, Jaimie D Steinmetz, Stein Emil Vollset, Kai Fukutaki, Julian Chalek, Foad Abd-Allah, Amir Abdoli, Ahmed Abualhasan, Eman Abu-Gharbieh, Tayyaba Tayyaba Akram, Hanadi Al Hamad, Fares Alahdab, Fahad Mashhour Alanezi, Vahid Alipour, Sami Almustanyir, Hubert Amu, Iman Ansari, Jalal Arabloo, Tahira Ashraf, Thomas Astell-Burt, Getinet Ayano, Jose L Ayuso-Mateos, Atif Amin Baig, Anthony Barnett, Amadou Barrow, Bernhard T Baune, Yannick Béjot, Woldesellassie M Mequanint Bezabhe, Yihienew Mequanint Bezabih, Akshaya Srikanth Bhagavathula, Sonu Bhaskar, Krittika Bhattacharyya, Ali Bijani, Atanu Biswas, Srinivasa Rao Bolla, Archith Boloor, Carol Brayne, Hermann Brenner, Katrin Burkart, Richard A Burns, Luis Alberto Cámera, Chao Cao, Felix Carvalho, Luis F S Castro-de-Araujo, Ferrán Catalá-López, Ester Cerin, Prachi P Chavan, Nicolas Cherbuin, Dinh-Toi Chu, Vera Marisa Costa, Rosa A S Couto, Omid Dadras, Xiaochen Dai, Lalit Dandona, Rakhi Dandona, Vanessa De la Cruz-Góngora, Deepak Dhamnetiya, Diana Dias da Silva, Daniel Diaz, Abdel Douiri, David Edvardsson, Michael Ekholuenetale, Iman El Sayed, Shaimaa I El-Jaafary, Khalil Eskandari, Sharareh Eskandarieh, Saman Esmaeilnejad, Jawad Fares, Andre Faro, Umar Farooque, Valery L Feigin, Xiaoqi Feng, Seyed-Mohammad Fereshtehnejad, Eduarda Fernandes, Pietro Ferrara, Irina Filip, Howard Fillit, Florian Fischer, Shilpa Gaidhane, Lucia Galluzzo, Ahmad Ghashghaee, Nermin Ghith, Alessandro Gialluisi, Syed Amir Gilani, Ionela-Roxana Glavan, Elena V Gnedovskaya, Mahaveer Golechha, Rajeev Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Mohammad Rifat Haider, Brian J Hall, Samer Hamidi, Asif Hanif, Graeme J Hankey, Shafiul Haque, Risky Kusuma Hartono, Ahmed I Hasaballah, M Tasdik Hasan, Amr Hassan, Simon I Hay, Khezar Hayat, Mohamed I Hegazy, Golnaz Heidari, Reza Heidari-Soureshjani, Claudiu Herteliu, Mowafa Househ, Rabia Hussain, Bing-Fang Hwang, Licia Iacoviello, Ivo Iavicoli, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Seyed Sina Naghibi Irvani, Hiroyasu Iso, Masao Iwagami, Roxana Jabbarinejad, Louis Jacob, Vardhmaan Jain, Sathish Kumar Jayapal, Ranil Jayawardena, Ravi Prakash Jha, Jost B Jonas, Nitin Joseph, Rizwan Kalani, Amit Kandel, Himal Kandel, André Karch, Ayele Semachew Kasa, Gizat M Kassie, Pedram Keshavarz, Moien AB Khan, Mahalaqua Nazli Khatib, Tawfik Ahmed Muthafer Khoja, Jagdish Khubchandani, Min Seo Kim, Yun Jin Kim, Adnan Kisa, Sezer Kisa, Mika Kivimäki, Walter J Koroshetz, Ai Koyanagi, G Anil Kumar, Manasi Kumar, Hassan Mehmood Lak, Matilde Leonardi, Bingyu Li, Stephen S Lim, Xuefeng Liu, Yuewei Liu, Giancarlo Logroscino, Stefan Lorkowski, Giancarlo Lucchetti, Ricardo Lutzky Saute, Francesca Giulia Magnani, Ahmad Azam Malik, João Massano, Man Mohan Mehndiratta, Ritesh G Menezes, Atte Meretoja, Bahram Mohajer, Norlinah Mohamed Ibrahim, Yousef Mohammad, Arif Mohammed, Ali H Mokdad, Stefania Mondello, Mohammad Ali Ali Moni, Md Moniruzzaman, Tilahun Belete Mossie, Gabriele Nagel, Muhammad Naveed, Vinod C Nayak, Sandhya Neupane Kandel, Trang Huyen Nguyen, Bogdan Oancea, Nikita Otstavnov, Stanislav S Otstavnov, Mayowa O Owolabi, Songhomitra Panda-Jonas, Fatemeh Pashazadeh Kan, Maja Pasovic, Urvish K Patel, Mona Pathak, Mario F P Peres, Arokiasamy Perianayagam, Carrie B Peterson, Michael R Phillips, Marina Pinheiro, Michael A Piradov, Constance Dimity Pond, Michele H Potashman, Faheem Hyder Pottoo, Sergio I Prada, Amir Radfar, Alberto Raggi, Fakher Rahim, Mosiur Rahman, Pradhum Ram, Priyanga Ranasinghe, David Laith Rawaf, Salman Rawaf, Nima Rezaei, Aziz Rezapour, Stephen R Robinson, Michele Romoli, Gholamreza Roshandel, Ramesh Sahathevan, Amirhossein Sahebkar, Mohammad Ali Sahraian, Brijesh Sathian, Davide Sattin, Monika Sawhney, Mete Saylan, Silvia Schiavolin, Allen Seylani, Feng Sha, Masood Ali Shaikh, KS Shaji, Mohammed Shannawaz, Jeevan K Shetty, Mika Shigematsu, Jae Il Shin, Rahman Shiri, Diego Augusto Santos Silva, João Pedro Silva, Renata Silva, Jasvinder A Singh, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Amanda E Smith, Sergey Soshnikov, Emma Elizabeth Spurlock, Dan J Stein, Jing Sun, Rafael Tabarés-Seisdedos, Bhaskar Thakur, Binod Timalsina, Marcos Roberto Tovani-Palone, Bach Xuan Tran, Gebiyaw Wudie Tsegaye, Sahel Valadan Tahbaz, Pascual R Valdez, Narayanaswamy Venketasubramanian, Vasily Vlassov, Giang Thu Vu, Linh Gia Vu, Yuan-Pang Wang, Anders Wimo, Andrea Sylvia Winkler, Lalit Yadav, Seyed Hossein Yahyazadeh Jabbari, Kazumasa Yamagishi, Lin Yang, Yuichiro Yano, Naohiro Yonemoto, Chuanhua Yu, Ismaeel Yunusa, Siddhesh Zadey, Mikhail Sergeevich Zastrozhin, Anasthasia Zastrozhina, Zhi-Jiang Zhang, Christopher J L Murray, and Theo Vos
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Public aspects of medicine ,RA1-1270 - Abstract
Summary: Background: Given the projected trends in population ageing and population growth, the number of people with dementia is expected to increase. In addition, strong evidence has emerged supporting the importance of potentially modifiable risk factors for dementia. Characterising the distribution and magnitude of anticipated growth is crucial for public health planning and resource prioritisation. This study aimed to improve on previous forecasts of dementia prevalence by producing country-level estimates and incorporating information on selected risk factors. Methods: We forecasted the prevalence of dementia attributable to the three dementia risk factors included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 (high body-mass index, high fasting plasma glucose, and smoking) from 2019 to 2050, using relative risks and forecasted risk factor prevalence to predict GBD risk-attributable prevalence in 2050 globally and by world region and country. Using linear regression models with education included as an additional predictor, we then forecasted the prevalence of dementia not attributable to GBD risks. To assess the relative contribution of future trends in GBD risk factors, education, population growth, and population ageing, we did a decomposition analysis. Findings: We estimated that the number of people with dementia would increase from 57·4 (95% uncertainty interval 50·4–65·1) million cases globally in 2019 to 152·8 (130·8–175·9) million cases in 2050. Despite large increases in the projected number of people living with dementia, age-standardised both-sex prevalence remained stable between 2019 and 2050 (global percentage change of 0·1% [–7·5 to 10·8]). We estimated that there were more women with dementia than men with dementia globally in 2019 (female-to-male ratio of 1·69 [1·64–1·73]), and we expect this pattern to continue to 2050 (female-to-male ratio of 1·67 [1·52–1·85]). There was geographical heterogeneity in the projected increases across countries and regions, with the smallest percentage changes in the number of projected dementia cases in high-income Asia Pacific (53% [41–67]) and western Europe (74% [58–90]), and the largest in north Africa and the Middle East (367% [329–403]) and eastern sub-Saharan Africa (357% [323–395]). Projected increases in cases could largely be attributed to population growth and population ageing, although their relative importance varied by world region, with population growth contributing most to the increases in sub-Saharan Africa and population ageing contributing most to the increases in east Asia. Interpretation: Growth in the number of individuals living with dementia underscores the need for public health planning efforts and policy to address the needs of this group. Country-level estimates can be used to inform national planning efforts and decisions. Multifaceted approaches, including scaling up interventions to address modifiable risk factors and investing in research on biological mechanisms, will be key in addressing the expected increases in the number of individuals affected by dementia. Funding: Bill & Melinda Gates Foundation and Gates Ventures.
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- 2022
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32. Attitudes and views on healthy lifestyle interventions for the prevention of dementia and cardiovascular disease among older people with low socioeconomic status: a qualitative study in the Netherlands
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Edo Richard, Wei Wang, Carol Brayne, Wenzhi Wang, Anders Wimo, Manshu Song, Sandrine Andrieu, Nicola Coley, Ron Handels, Eric P Moll van Charante, Marieke P Hoevenaar-blom, Esmé Eggink, Melanie Hafdi, Cindy Birck, Jean Georges, Eric Moll vanCharante, Marieke Hoevenaar-Blom, Patrick Witvliet, Rachael Brooks, Linda Barnes, Jinxia Zhang, and Rick Mast
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Medicine - Published
- 2022
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33. Effect of Sit-to-Stand Exercises Combined With Protein-Rich Oral Supplementation in Older Persons: The Older Person's Exercise and Nutrition Study
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Grönstedt, Helena, Vikström, Sofia, Cederholm, Tommy, Franzén, Erika, Luiking, Yvette C., Seiger, Åke, Wimo, Anders, Faxén-Irving, Gerd, and Boström, Anne-Marie
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- 2020
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34. Do Malnutrition, Sarcopenia and Frailty Overlap in Nursing-Home Residents?
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Faxén-Irving, Gerd, Luiking, Y., Grönstedt, H., Franzén, E., Seiger, Å., Vikström, S., Wimo, A., Boström, A.-M., and Cederholm, T.
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- 2021
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35. Defeating Alzheimer's disease and other dementias: a priority for European science and society
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Winblad, Bengt, Amouyel, Philippe, Andrieu, Sandrine, Ballard, Clive, Brayne, Carol, Brodaty, Henry, Cedazo-Minguez, Angel, Dubois, Bruno, Edvardsson, David, Feldman, Howard, Fratiglioni, Laura, Frisoni, Giovanni B, Gauthier, Serge, Georges, Jean, Graff, Caroline, Iqbal, Khalid, Jessen, Frank, Johansson, Gunilla, Jönsson, Linus, Kivipelto, Miia, Knapp, Martin, Mangialasche, Francesca, Melis, René, Nordberg, Agneta, Rikkert, Marcel Olde, Qiu, Chengxuan, Sakmar, Thomas P, Scheltens, Philip, Schneider, Lon S, Sperling, Reisa, Tjernberg, Lars O, Waldemar, Gunhild, Wimo, Anders, and Zetterberg, Henrik
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Alzheimer Disease ,Biomedical Research ,Dementia ,Europe ,Humans ,Clinical Sciences ,Neurosciences ,Neurology & Neurosurgery - Published
- 2016
36. Cost‐effectiveness of amyloid‐targeting therapies: modelling based on 5724 biomarker positive AD patients in the Swedish Registry of Cognitive Disorders
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Jönsson, Linus, primary, Skillback, Tobias, additional, Kern, Silke, additional, Winblad, Bengt, additional, Blennow, Kaj, additional, Eriksdotter, Maria, additional, Zetterberg, Henrik, additional, and Wimo, Anders, additional
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- 2023
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37. P3 Open-Source Model Framework for Health-Economic Evaluation of Early Treatment in Alzheimer's Disease
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Handels, R., primary, Wimo, A., additional, Skoldunger, A., additional, Tate, A., additional, Winblad, B., additional, Silvertand, D., additional, Nguyen, L., additional, Jönsson, L., additional, Grimm, S., additional, Aye, S., additional, and Herring, W., additional
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- 2023
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38. Predicting Sojourn Times across Dementia Disease Stages, Institutionalization, and Mortality
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Tate, Ashley, primary, Bouteloup, Vincent, additional, van Maurik, Ingrid S., additional, Mank, Arenda, additional, Speh, Andreja, additional, Eriksdotter, Maria, additional, Wimo, Anders, additional, Dufouil, Carole, additional, van der Flier, Wiesje M., additional, and Jönsson, Linus, additional
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- 2023
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39. MSR136 IPECAD Modeling Workshop 2023 Cross Comparison Challenge on Cost-Effectiveness Models in Alzheimer's Disease and Related Dementias
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Handels, R., primary, Herring, W., additional, Kamgar, F., additional, Gustavsson, A., additional, Skoldunger, A., additional, Wimo, A., additional, Tate, A., additional, Winblad, B., additional, Stellick, C.B., additional, Bruck, C., additional, Green, C., additional, de Kok, I., additional, Hlavka, J., additional, Mar, J., additional, Urbich, M., additional, Soto-Gordoa, M., additional, Pemberton-Ross, P., additional, Aye, S., additional, and Jönsson, L., additional
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- 2023
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40. Determinants of time to institutionalisation and related healthcare and societal costs in a community-based cohort of patients with Alzheimer's disease dementia
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Belger, Mark, Haro, Josep Maria, Reed, Catherine, Happich, Michael, Argimon, Josep Maria, Bruno, Giuseppe, Dodel, Richard, Jones, Roy W., Vellas, Bruno, and Wimo, Anders
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- 2019
41. Design and Development of a Mobile Health (mHealth) Platform for Dementia Prevention in the Prevention of Dementia by Mobile Phone Applications (PRODEMOS) Project
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Melanie Hafdi, Esmé Eggink, Marieke P. Hoevenaar-Blom, M. Patrick Witvliet, Sandrine Andrieu, Linda Barnes, Carol Brayne, Rachael Brooks, Nicola Coley, Jean Georges, Abraham van der Groep, Harm van Marwijk, Mark van der Meijden, Libin Song, Manshu Song, Youxin Wang, Wenzhi Wang, Wei Wang, Anders Wimo, Xiaoyan Ye, Eric P. Moll van Charante, and Edo Richard
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mHealth ,dementia ,cardiovascular disease(s) ,prevention ,design concept ,behavioral health ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Background: Mobile health (mHealth) has the potential to bring preventive healthcare within reach of populations with limited access to preventive services, by delivering personalized support at low cost. Although numerous mHealth interventions are available, very few have been developed following an evidence-based rationale or have been tested for efficacy. This article describes the systematic development of a coach-supported mHealth application to improve healthy lifestyles for the prevention of dementia and cardiovascular disease in the United Kingdom (UK) and China.Methods: Development of the Prevention of Dementia by Mobile Phone applications (PRODEMOS) platform built upon the experiences with the Healthy Aging Through Internet Counseling in the Elderly (HATICE) eHealth platform. In the conceptualization phase, experiences from the HATICE trial and needs and wishes of the PRODEMOS target population were assessed through semi-structured interviews and focus group sessions. Initial technical development of the platform was based on these findings and took place in consecutive sprint sessions. Finally, during the evaluation and adaptation phase, functionality and usability of the platform were evaluated during pilot studies in UK and China.Results: The PRODEMOS mHealth platform facilitates self-management of a healthy lifestyle by goal setting, progress monitoring, and educational materials on healthy lifestyles. Participants receive remote coaching through a chat functionality. Based on lessons learned from the HATICE study and end-users, we made the intervention easy-to-use and included features to personalize the intervention. Following the pilot studies, in which in total 77 people used the mobile application for 6 weeks, the application was made more intuitive, and we improved its functionalities.Conclusion: Early involvement of end-users in the development process and during evaluation phases improved acceptability of the mHealth intervention. The actual use and usability of the PRODEMOS intervention will be assessed during the ongoing PRODEMOS randomized controlled trial, taking a dual focus on effectiveness and implementation outcomes.
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- 2021
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42. Cost-effectiveness models for Alzheimer's disease and related dementias
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Handels, R.L.H., Green, C., Gustavsson, A., Herring, W.L., Winblad, B., Wimo, A., Skoldunger, A., Karlsson, A., Anderson, R., Belger, M., Bruck, C., Espinosa, R., Hlavka, J.P., Jutkowitz, E., Lin, P.J., Mendez, M.L., Mar, J., Shewmaker, P., Spackman, E., Tafazzoli, A., Tysinger, B., Jonsson, L., IPECAD, Modeling, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Psychology 2, and Public Health
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model validation ,COMPLICATIONS ,TRANSPARENCY ,decision-analytic modeling ,economic evaluation ,Epidemiology ,IMPACT ,Health Policy ,MORTALITY ,EDUCATION ,Alzheimer's disease ,VALIDATION ,PREVALENCE ,Psychiatry and Mental health ,Cellular and Molecular Neuroscience ,Developmental Neuroscience ,SDG 3 - Good Health and Well-being ,ECONOMIC EVALUATIONS ,RA0421 Public health. Hygiene. Preventive Medicine ,Cross-comparison ,Dementia ,Neurology (clinical) ,HEALTH ,Geriatrics and Gerontology ,HOOD CHALLENGE - Abstract
INTRODUCTION: The credibility of model-based economic evaluations of Alzheimer's disease (AD) interventions is central to appropriate decision-making in a policy context. We report on the International PharmacoEconomic Collaboration on Alzheimer's Disease (IPECAD) Modeling Workshop Challenge.METHODS: Two common benchmark scenarios, for the hypothetical treatment of AD mild cognitive impairment (MCI) and mild dementia, were developed jointly by 29 participants. Model outcomes were summarized, and cross-comparisons were discussed during a structured workshop.RESULTS: A broad concordance was established among participants. Mean 10-year restricted survival and time in MCI in the control group ranged across 10 MCI models from 6.7 to 9.5 years and 3.4 to 5.6 years, respectively; and across 4 mild dementia models from 5.4 to 7.9 years (survival) and 1.5 to 4.2 years (mild dementia).DISCUSSION: The model comparison increased our understanding of methods, data used, and disease progression. We established a collaboration framework to assess cost-effectiveness outcomes, an important step toward transparent and credible AD models.
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- 2023
43. Assessing cost-effectiveness of early intervention in Alzheimer's disease: An open-source modeling framework
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Green, Colin, Handels, Ron, Gustavsson, Anders, Wimo, Anders, Winblad, Bengt, Sköldunger, Anders, and Jönsson, Linus
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- 2019
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44. Using an Integrated Clinical and Functional Assessment Tool to Describe the Use of Social and Medical Care in an Urban Community-Dwelling Swedish Older Population
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Santoni, Giola, Meinow, Bettina, Wimo, Anders, Marengoni, Alessandra, Fratiglioni, Laura, and Calderón-Larrañaga, Amaia
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- 2019
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45. The MOPEAD project: Advancing patient engagement for the detection of “hidden” undiagnosed cases of Alzheimer's disease in the community
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Rodríguez-Gómez, Octavio, Rodrigo, Adrián, Iradier, Fátima, Santos-Santos, Miguel A., Hundemer, Hans, Ciudin, Andreea, Sannemann, Lena, Zwan, Marissa, Glaysher, Bridget, Wimo, Anders, Bonn, Jaka, Johansson, Gunilla, Rodriguez, Isabel, Alegret, Montse, Gove, Dianne, Pinó, Susana, Trigueros, Paloma, Kivipelto, Miia, Mathews, Brandy, Ciudad, Antonio, Ferreira, Daniel, Bintener, Christophe, Gurruchaga, Miren, Westman, Eric, Belger, Mark, Valero, Sergi, Maguire, Peggy, Krivec, David, Kramberger, Milica, Simó, Rafael, Garro, Inmaculada Pérez, Visser, Pieter Jelle, Dumas, Annette, Georges, Jean, Jessen, Frank, Winblad, Bengt, Shering, Craig, Stewart, Neil, Campo, Laura, and Boada, Mercè
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- 2019
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46. People get ready! A new generation of Alzheimer's therapies may require new ways to deliver and pay for healthcare.
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Wahlberg, Karin, Winblad, Bengt, Cole, Amanda, Herring, William L., Ramsberg, Joakim, Torontali, Ilona, Visser, Pieter‐Jelle, Wimo, Anders, Wollaert, Lieve, and Jönsson, Linus
- Abstract
The development of disease‐modifying therapies (DMTs) for Alzheimer's disease (AD) has progressed over the last decade, and the first‐ever therapies with potential to slow the progression of disease are approved in the United States. AD DMTs could provide life‐changing opportunities for people living with this disease, as well as for their caregivers. They could also ease some of the immense societal and economic burden of dementia. However, AD DMTs also come with major challenges due to the large unmet medical need, high prevalence of AD, new costs related to diagnosis, treatment and monitoring, and uncertainty in the therapies' actual clinical value. This perspective article discusses, from the broad perspective of various health systems and stakeholders, how we can overcome these challenges and improve society's readiness for AD DMTs. We propose that innovative payment models such as performance‐based payments, in combination with learning healthcare systems, could be the way forward to enable timely patient access to treatments, improve accuracy of cost‐effectiveness evaluations and overcome budgetary barriers. Other important considerations include the need for identification of key drivers of patient value, the relevance of different economic perspectives (i.e. healthcare vs. societal) and ethical questions in terms of treatment eligibility criteria. [ABSTRACT FROM AUTHOR]
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- 2024
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47. Predicting sojourn times across dementia disease stages, institutionalization, and mortality.
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Tate, Ashley E, Bouteloup, Vincent, van Maurik, Ingrid S., Jean, Delphine, Mank, Arenda, Speh, Andreja, Boilet, Valerie, van Harten, Argonde, Eriksdotter, Maria, Wimo, Anders, Dufouil, Carole, van der Flier, Wiesje M., and Jönsson, Linus
- Abstract
INTRODUCTION: Inferring the timeline from mild cognitive impairment (MCI) to severe dementia is pivotal for patients, clinicians, and researchers. Literature is sparse and often contains few patients. We aim to determine the time spent in MCI, mild‐, moderate‐, severe dementia, and institutionalization until death. METHODS: Multistate modeling with Cox regression was used to obtain the sojourn time. Covariates were age at baseline, sex, amyloid status, and Alzheimer's disease (AD) or other dementia diagnosis. The sample included a register (SveDem) and memory clinics (Amsterdam Dementia Cohort and Memento). RESULTS: Using 80,543 patients, the sojourn time from clinically identified MCI to death across all patient groups ranged from 6.20 (95% confidence interval [CI]: 5.57–6.98) to 10.08 (8.94–12.18) years. DISCUSSION: Generally, sojourn time was inversely associated with older age at baseline, males, and AD diagnosis. The results provide key estimates for researchers and clinicians to estimate prognosis. [ABSTRACT FROM AUTHOR]
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- 2024
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48. Apolipoprotein E genotypes and longevity across dementia disorders
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Skillbäck, Tobias, Lautner, Ronald, Mattsson, Niklas, Schott, Jonathan M., Skoog, Ingmar, Nägga, Katarina, Kilander, Lena, Wimo, Anders, Winblad, Bengt, Eriksdotter, Maria, Blennow, Kaj, and Zetterberg, Henrik
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- 2018
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49. General practitioners’ attitude toward early and pre‐dementia diagnosis of AD in five European countries—A MOPEAD project survey
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Lena Sannemann, Theresa Müller, Lisa Waterink, Marissa Zwan, Anders Wimo, Erik Stomrud, Susana Pinó, Jordi Arrufat, Octavio Rodríguez‐Gomez, Alba Benaque, Jaka Bon, Daniel Ferreira, Gunilla Johansson, Amanda Dron, Annette Dumas, Jean Georges, Milica G Kramberger, Pieter Jelle Visser, Bengt Winblad, Laura Campo, Mercè Boada, Frank Jessen, and MOPEAD consortium
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Alzheimer's disease ,dementia ,early diagnosis ,general practitioners ,mild cognitive impairment ,primary care ,Neurology. Diseases of the nervous system ,RC346-429 ,Geriatrics ,RC952-954.6 - Abstract
Abstract Introduction General practitioners (GPs) play a key role in early identification of dementia, yet diagnosis is often missed or delayed in primary care. As part of the multinational Models of Patient Engagement for Alzheimer's Disease project, we assess GPs’ attitude toward early and pre‐dementia diagnosis of AD and explore barriers to early diagnosis. Methods Our survey covered general attitude toward early diagnosis, diagnostic procedures, resources, and opinion on present and future treatment options across five European countries. Results In total 343 GPs completed the survey; 74% of GPs indicated that an early diagnosis is valuable. There were country‐specific differences in GPs’ perceptions of reimbursement and time available for the patient. If a drug were available to slow down the progression of AD, 59% of the GPs would change their implementation of early diagnosis. Discussion Our findings provide insight into GPs’ attitudes by exploring differences in perception and management of early diagnosis.
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- 2021
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50. CSF/serum albumin ratio in dementias: a cross-sectional study on 1861 patients
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Skillbäck, Tobias, Delsing, Louise, Synnergren, Jane, Mattsson, Niklas, Janelidze, Shorena, Nägga, Katarina, Kilander, Lena, Hicks, Ryan, Wimo, Anders, Winblad, Bengt, Hansson, Oskar, Blennow, Kaj, Eriksdotter, Maria, and Zetterberg, Henrik
- Published
- 2017
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