The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Global and regional projections of the economic burden of Alzheimer's disease and related dementias from 2019 to 2050: A value of statistical life approach
Open accessAbstract
Background: The burden of Alzheimer's disease and related dementias (ADRDs) is expected to grow rapidly with population aging, especially in low- and middle-income countries, in the next few decades. We used a willingness-to-pay approach to project the global, regional, and national economic burden of ADRDs from 2019 to 2050 under status quo. Methods: We projected age group and country-specific disability-adjusted life years (DALYs) lost to ADRDs in future years based on historical growth in disease burden and available population projections. We used country-specific extrapolations of the value of a statistical life (VSL) year and its future projections based on historical income growth to estimate the economic burden - measured in terms of the value of lost DALYs - of ADRDs. A probabilistic uncertainty analysis was used to calculate point estimates and 95% uncertainty bounds of the economic burden. Findings: In 2019, the global VSL-based economic burden of ADRDs was an estimated $2.8 trillion. The burden was projected to increase to $4.7 trillion (95% uncertainty bound: $4 trillion-$5.5 trillion) in 2030, $8.5 trillion ($6.8 trillion-$10.8 trillion) in 2040, and $16.9 trillion ($11.3 trillion-$27.3 trillion) in 2050. Low- and middle-income countries (LMICs) would account for 65% of the global VSL-based economic burden in 2050, as compared with only 18% in 2019. Within LMICs, upper-middle income countries would carry the largest VSL-based economic burden by 2050 (92% of LMICs burden and 60% of global burden). Interpretation: ADRDs have a large and inequitable projected future VSL-based economic burden. Funding: The Davos Alzheimer's Collaborative.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures



Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Nandi and colleagues estimated global costs of dementia and found an economic burden of $2.8 trillion in 2019.9”
From Societal Costs of Dementia: 204 Countries, 2000–2019 (2024) · cites this paper as [9]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nichols, E., Steinmetz, J. D., Vollset, S. E., Fukutaki, K., Chalek, J., Abd-Allah, F., Abdoli, A., Abualhasan, A., Abu-Gharbieh, E., Akram, T. T., et al. (2022) · The Lancet Public Health · doi:10.1016/s2468-2667(21)00249-8 · Cited by 5,575
Hearing loss and cognitive decline in older adults
Lin, F. R., Yaffe, K., Xia, J., Xue, Q.-L., Harris, T. B., Purchase-Helzner, E., Satterfield, S., Ayonayon, H. N., Ferrucci, L., Simonsick, E. M., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1868 · Cited by 4,017
(2015) · HAL · Cited by 2,238
The value of a statistical life: A critical review of market estimates throughout the world
Viscusi, W. K., & Aldy, J. E. (2003) · Journal of Risk and Uncertainty · doi:10.1023/a:1025598106257 · Cited by 2,135
Monetary Costs of Dementia in the United States
Hurd, M. D., Martorell, P., Delavande, A., Mullen, K. J., & Langa, K. M. (2013) · New England Journal of Medicine · doi:10.1056/nejmsa1204629 · Cited by 1,484
Mediterranean diet and risk for Alzheimer's disease
Scarmeas, N., Stern, Y., Tang, M., Mayeux, R., & Luchsinger, J. A. (2006) · Annals of Neurology · doi:10.1002/ana.20854 · Cited by 1,103
The worldwide costs of dementia 2015 and comparisons with 2010
Wimo, A., Guerchet, M., Ali, G., Wu, Y., Prina, A. M., Winblad, B., Jönsson, L., Liu, Z., & Prince, M. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.07.150 · Cited by 1,066
The cost of Alzheimer's disease in China and re‐estimation of costs worldwide
Jia, J., Wei, C., Chen, S., Li, F., Tang, Y., Qin, W., Zhao, L., Jin, H., Xu, H., Wang, F., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.12.006 · Cited by 752
Self-citationThe Value of Health and Longevity
Murphy, K. M., & Topel, R. H. (2006) · Journal of Political Economy · doi:10.1086/508033 · Cited by 605
Relationship Between Education and Dementia: An Updated Systematic Review
Sharp, E. S., & Gatz, M. (2011) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318211c83c · Cited by 591
Research works printed but not linked: 1
- Counts, 2021, Dementia storm on the horizon: the rising incidence of dementia around the world calls for global collaboration and decisive financing, Financ Develop, 58, 54
Cited by
Sorted by citations
Items 201–300 of 404
Feter, N., Feter, J. S., Borelli, W. V., Rombaldi, A. J., & Castilhos, R. M. (2024) · Maturitas · doi:10.1016/j.maturitas.2024.107968 · Cited by 3
Proactive Alzheimer's Disease Identification Through EEG-Based Biomarkers
Bhendare, G., & Dewangan, L. (2023) · International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) · doi:10.1109/icaiihi57871.2023.10489551 · Cited by 3
Zhang, Y., Dong, M., Li, B.-L., & Sun, G. (2024) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2024.114867 · Cited by 3
Time perception among people living with and without dementia: A scoping review
Gallant, N. L., Russill, C. L., Taylor, N. C., Nakonechny, S., Kohlert, A., & Ewing, K. (2024) · Dementia · doi:10.1177/14713012241257299 · Cited by 3
Yu, D., Zheng, W., Osuagwu, U. L., Pickering, K., Baker, J., Cutfield, R. G., Cai, Y., Orr‐Walker, B., Sundborn, G., Qu, B., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13855 · Cited by 2
Sunwoo, Y., Eom, S. H., Yun, J. S., Kim, Y., Lee, J., Lee, S. H., Shin, S., & Choi, Y. J. (2024) · Medicina · doi:10.3390/medicina60071028 · Cited by 4
AlQot, H. E., & Rylett, R. J. (2024) · Scientific Reports · doi:10.1038/s41598-024-78751-2 · Cited by 5
Trends of the Dementia Burden in South Asia: An Analysis of 2021 Global Burden of Disease Study
Chauhan, S., Jena, D., Gaidhane, S., Dev, N., Bushi, G., Priya, G. P., Sharma, P., Bhat, M., Sharma, S., Kumar, M., et al. (2025) · Aging Medicine · doi:10.1002/agm2.70002 · Cited by 3
Advances in neurofilament light chain analysis
Uzgiris, A. J., Ladic, L., & Pfister, S. X. (2025) · Advances in clinical chemistry · doi:10.1016/bs.acc.2025.01.006 · Cited by 3
Wei, Z., Liu, C., Chen, J., Yao, Y., & Qin, D. (2025) · Animal Models and Experimental Medicine · doi:10.1002/ame2.70015 · Cited by 3
Zeng, Y., Yang, H., Lai, Y., Bi, Y., Sun, C., Jiang, H., Liu, X., Xu, S., Li, Y., & Meng, J. (2025) · Neuroepidemiology · doi:10.1159/000545885 · Cited by 3
He, J., Cabrera‐Mendoza, B., Friligkou, E., Mecca, A. P., van Dyck, C. H., Pathak, G. A., & Polimanti, R. A. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70215 · Cited by 4
Duan, Q., Su, W., Gu, X., Long, J., Jiang, Z., Yin, K., Cai, W., Cao, B., Chi, L., Gao, X., et al. (2025) · Brain and Behavior · doi:10.1002/brb3.70766 · Cited by 4
Spatial Navigation as a Digital Marker for Clinically Differentiating Cognitive Impairment SeverityPreprint
Colombo, G., Minta, K., Taylor, W. R., Grübel, J., Chong, E. J. Y., Chong, J. R., Lim, M. J. H., Gonzales, P. N. G., Lai, M. K. P., Chen, C., et al. (2025) · medRxiv · doi:10.1101/2025.06.05.25329079 · Cited by 3
Epidemiological and economic burden of dementia in the Middle East and North African region
Qadi, N., Alkhodair, Y., Alshammari, W., & AlDakheel, A. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251378454 · Cited by 3
Danna, R., Kondle, S., Amar, O., Mabourakh, M., Chen, G., Fadol, W. B., & Mohieldin, A. M. (2025) · Biology · doi:10.3390/biology14121787 · Cited by 2
“While the severity of these diseases stems in part from their rising incidence, their profound impact on daily life, as well as the substantial economic burden they impose, highlights the urgency of understanding their pathogenesis and potential intersections [3].”
Shareef, U., Zargaham, M. K., Ibrahim, A., Altaf, A., & Bhatti, R. (2025) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2025.109076 · Cited by 2
Chang, Y., Seo, Y. J., Yoon, C. Y., & Park, K. H. (2025) · Otology & Neurotology · doi:10.1097/mao.0000000000004575 · Cited by 2
Predicting Mild Cognitive Impairment in Type 2 Diabetes: A Machine Learning Approach
Li, F., Zhao, S., Wu, T., Yang, S., Duan, Y., Sun, J., Zhu, W., Zhai, B., Yu, C., Chen, S., et al. (2025) · Journal of Diabetes Research · doi:10.1155/jdr/7304414 · Cited by 3
Self-citationLe, D., Kilpatrick, M., Kraft, W. K., Grams, M. E., Jaar, B. G., & Shin, J. (2025) · Diabetes Care · doi:10.2337/dc25-1836 · Cited by 2
The Cerebral Clearance Cascade as a Driver of Alzheimer’s Disease Progression
Izrael, M., & Frenkel, O. M. (2025) · Journal of dementia and Alzheimer's disease · doi:10.3390/jdad3010001 · Cited by 2
Dallari, C., Ladurner, G., Kendrisic, M., Caria, F. F., Manzl, C., Ponticelli, L., Perego, L., Goretti, F., Credi, C., Prokesch, M., et al. (2026) · ACS Sensors · doi:10.1021/acssensors.5c04842 · Cited by 2
Pan, T. J., Wang, H. J., Siddiqui, A., Kurumala, D., Ruthirakuhan, M. T., Swardfager, W., Marotta, G., & Lanctôt, K. L. (2026) · CNS Drugs · doi:10.1007/s40263-026-01277-w · Cited by 2
Hwang, G., Lee, S. H., Han, S.-W., Yang, Y., Lee, S., Kim, Y., Kim, Y., & Park, R. W. (2026) · GeroScience · doi:10.1007/s11357-026-02101-5 · Cited by 2
Guo, Y., Wang, N., Tao, Z., Huang, X., Yu, W., Zeng, J., Liu, X., Chen, S., Hua, F., & Wang, X. (2026) · International Immunopharmacology · doi:10.1016/j.intimp.2026.116599 · Cited by 3
Self-citationArtificial intelligence and neurodegeneration: state of the art and explainability
Crincoli, E., Savastano, M. C., Savastano, A., Carlà, M. M., Giannuzzi, F., Catania, F., Kilian, R. A., Rizzo, C., & Rizzo, S. (2026) · International Journal of Retina and Vitreous · doi:10.1186/s40942-026-00807-4 · Cited by 2
A Perspective: Challenges in Dementia Research
Stecker, M. M. (2022) · Medicina · doi:10.3390/medicina58101368 · Cited by 3
Ge+, S., Ma, W., Qu, Z., Zhu, X., Chen, Z., Lin, X., & Fu, Z. (2023) · Tobacco Induced Diseases · doi:10.18332/tid/162368 · Cited by 2
The Proof-of-Concept of MBA121, a Tacrine–Ferulic Acid Hybrid, for Alzheimer’s Disease Therapy
Rodríguez-Ruiz, E. R., Herrero-Labrador, R., Fernández-Fernández, A. P., Serrano, J., Martínez-Montero, J. A., González‐Nieto, D., Vaish, M., Benchekroun, M., Ismaïli, L., Marco‐Contelles, J., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241512254 · Cited by 2
Coleman, A. M. E. (2024) · Open Journal of Psychiatry · doi:10.4236/ojpsych.2024.142006 · Cited by 2
Summan, A., Nandi, A., Wahl, B., Carmona, S., Ongarello, S., Vetter, B., & Laxminarayan, R. (2024) · EClinicalMedicine · doi:10.1016/j.eclinm.2024.102492 · Cited by 2
Self-citationAkbarifar, A., Maghsoudpour, A., Mohammadian, F., Mohammadzaheri, M., & Ghaemi, O. (2024) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-024-05367-w · Cited by 2
Hao, Z., Tran, J. Y. S., Bat, B. K. K., Yiu, K. K. L., Chan, J. Y. C., & Tsoi, K. K. F. (2024) · Digital Health · doi:10.1177/20552076241271875 · Cited by 2
Goodwin, G. J., Briley, D. A., Singsank, K. T., Tanner, D., Maloy-Robertson, M., & John, S. E. (2025) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617724000730 · Cited by 3
Long-Term Insomnia Treatment with Benzodiazepines and Alzheimer’s Disease: A Systematic Review
Trigo, F. S. R., Pinto, N., & Pato, M. V. (2025) · NeuroSci · doi:10.3390/neurosci6010011 · Cited by 2
Photobiomodulation by LED 660 nm and Taurine against H2O2 oxidative stress in SH-SY5Y cells
Rossato, R. C., Salles, G. N., Albuquerque, A. L., Porcionatto, M. A., Granato, A. E. C., Ulrich, H., Santos, M. D. C. D. V., & Soares, C. P. (2025) · Lasers in Medical Science · doi:10.1007/s10103-025-04467-y · Cited by 2
Swain, S., Sen, A., & Metya, A. K. (2025) · Advanced Theory and Simulations · doi:10.1002/adts.202500715 · Cited by 2
Yang, W. S., Rothwell, J., Severyn, M., Tunnard, I., Khatun, T., Ward, J., Davies, N., Kenten, C., Sampson, E. L., & Evans, C. (2025) · Research Involvement and Engagement · doi:10.1186/s40900-025-00715-1 · Cited by 3
Hensel, A. L. J., Chan, T., Ahmed, R., Rasaputra, P., Skidmore, B., Luo, H., Vetrano, D. L., Edwards, J. D., Crawshaw, J., Parry, M. J. E., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70843 · Cited by 2
Schreiner, T. G., Menéndez‐González, M., Adam, M., Popescu, B. O., Szilagyi, A., Stanciu, G. D., Tamba, B.-I., & Ciobanu, R. C. (2023) · Bioengineering · doi:10.3390/bioengineering10111303 · Cited by 2
Júnior, Á. M. N., de Sousa, A. A., Pedrosa, E. M., & Sousa, D. A. (2024) · Revista Eletrônica Acervo Saúde · doi:10.25248/reas.e14634.2024 · Cited by 3
Machine‐learning‐derived heart and brain age are independently associated with cognition
Cameron, A. C., Lip, G. Y. H., & Abdul‐Rahim, A. H. (2023) · European Journal of Neurology · doi:10.1111/ene.15953 · Cited by 2
Shareef, U., Altaf, A., Zargaham, M. K., Bhatti, R., Ibrahim, A., & Zahid, M. (2023) · Research Square · doi:10.21203/rs.3.rs-3341477/v1 · Cited by 2
Balcı, E. B., Yildiz, E. N., Oksuz, S. S., Ahmadli, N., Kargidan, M., Ayyildiz, N., Alemdar, E., Uludag, I., & Hasirci, U. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.10.602686 · Cited by 2
The impact of extreme high temperatures on ADRD hospitalization in Guangdong, China, 2017–2019
Zhao, C., Zhang, X., Ma, C., & Xu, W. (2025) · Economics & Human Biology · doi:10.1016/j.ehb.2025.101485 · Cited by 2
Detecting Alzheimer's Disease (Gender-Based) Using Different Machine Learning Approaches
Negi, H. S., Indu, R., Dimri, S. C., Kumar, B., Bisht, N., & Gupta, A. (2025) · International Computer Science Conference · doi:10.1109/icsc64553.2025.10968947 · Cited by 1
Masuda, T., Segawa, E., Kimura, N., Takuma, S., Anabuki, K., Nakamura, Y., Mitsuzawa, S., Shinkawa, S., Aoshima, K., & Matsubara, E. (2025) · Cureus · doi:10.7759/cureus.83021 · Cited by 1
Hsiao, C., Hsieh, S., Yang, Y., & Hsieh, H. (2025) · Journal of Diabetes Investigation · doi:10.1111/jdi.70060 · Cited by 1
Tay, L. X., Ong, S. C., Ong, H. M., Teh, E. E., Ch’ng, A. S. H., Tiong, I. K., Razali, R. M., & Parumasivam, T. (2025) · Value in Health Regional Issues · doi:10.1016/j.vhri.2025.101122 · Cited by 1
Identifying Links between Alzheimer’s Disease and Type 2 Diabetes through Proteomics
Chen, T. N., Orr, A. L., Orr, A. G., & Vacanti, N. M. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5c00404 · Cited by 1
O’Brien, B. J., Evans, S., Worn, R. L., Lavender, A. P., Bell, L. R., & Cover, T. (2025) · Medical Hypotheses · doi:10.1016/j.mehy.2025.111725 · Cited by 1
Puri, S., Rahmatkar, S. N., Bora, P. S., Singh, D., & Sharma, U. K. (2025) · Food Bioscience · doi:10.1016/j.fbio.2025.107377 · Cited by 1
Piquero, M., Sarabia‐Vallejo, Á., Bote-Matías, L., León‐Espinosa, G., Hernández-Arasti, M., Martín‐Aragón, S., Bermejo‐Bescós, P., Olives, A. I., López‐Alvarado, P., Martín, M. A., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26178270 · Cited by 1
Emerging Trends in Early Dementia Diagnosis: An Analysis on Advanced Machine Learning Approaches
Gami, B., Agrawal, M., & Katarya, R. (2025) · ACM Computing Surveys · doi:10.1145/3764578 · Cited by 1
Risk perception in food safety and the Value of Statistical Mild Food-Induced Adverse Reactions
Vassilopoulos, A., Antoniak, M. A., & Cerjak, M. (2025) · Journal of Behavioral and Experimental Economics · doi:10.1016/j.socec.2025.102461 · Cited by 1
Joson, M. L. C., Ampil, E. R., Badillo, S. P. J., Cano, J., Catindig, J. A., Cenina, A. R., Chu, D. M., Espanol, V., Liquete, D. C., Ong, M., et al. (2025) · Journal of Medicine University of Santo Tomas · doi:10.35460/2546-1621.2025-0039 · Cited by 1
Fernández‐Ruíz, J., Rodríguez-Cueto, C., García, C., Satta, V., Gómez-Cañas, M., Sagredo, O., de Lago, E., & Gómez-Ruiz, M. (2025) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-443-13908-6.00023-2 · Cited by 1
A lightweight machine learning tool for Alzheimer's disease prediction
Suresh, V., Nahar, T. A. K., Sharma, A., Panchawagh, S., Mohammed, O., Muneer, M. A., Mishra, D., Verma, A., Sanker, V., Mishra, A., et al. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70187 · Cited by 1
Nakagawa, K., Tanabe, J., & Iwamoto, Y. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2025.11.015 · Cited by 1
Liang, B., Li, M., & Zhang, L. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120770 · Cited by 1
Is the Era of One-Size-Fits-All Alzheimer’s Treatment Officially Over?
Verma, S., Kumari, K., Kesharwani, P., Verma, K., Dwivedi, J., Paliwal, S., & Sharma, S. (2025) · Journal of Molecular Neuroscience · doi:10.1007/s12031-025-02445-1 · Cited by 1
Targeting innovative therapeutic approaches to the hallmarks of aging to combat Alzheimer’s disease
Izrael, M., & Frenkel, O. M. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00966 · Cited by 1
Heo, R. J., Negida, A., Barrett, M. J., Chrenka, E. A. B., Bayram, E., Kane, J. P. M., Werner, A. M., Rossom, R. C., & Wyman‐Chick, K. A. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877251411418 · Cited by 1
Nagaraj, S., Quintanilla‐Sánchez, C., Ando, K., Lopez‐Gutierrez, L., Gansemans, Y., Doeraene, E., Kosa, A., Aydin, E., Nieuwerburgh, F. V., Brion, J., et al. (2026) · Communications Biology · doi:10.1038/s42003-026-09530-0 · Cited by 1
Aprizal, Y., Yusof, M. I. M., Jamil, N. M., Zamroni, Y., Zin, N. S. N. M., Yusli, N. S. A. E., Zapri, N. F. F., & Samsulrizal, N. (2026) · Pharmaceutical Biology · doi:10.1080/13880209.2026.2613838 · Cited by 1
Liu, Z., Zhang, H., Wan, B., Yin, S., & Yue, R. (2026) · Drug Design Development and Therapy · doi:10.2147/dddt.s580330 · Cited by 2
Vermeulen, R. J., Rikkert, M. O., Handels, R. L. H., Haraldsen, I., Renvall, H., Rossini, P. M., Marra, C., Maestú, F., Rovers, M. M., & Govers, T. M. (2026) · GeroScience · doi:10.1007/s11357-025-02032-7 · Cited by 1
Target product profiles for treatments to delay or prevent symptomatic Alzheimer’s disease
Cummings, J. L., Agadjanyan, M. G., Barry, M., Corey, L., Doody, R., Hendrix, S. B., Mattke, S., Mattsson, N., McDade, E., Menetski, J. P., et al. (2026) · Nature Medicine · doi:10.1038/s41591-026-04305-w · Cited by 3
Fang, J., Zhang, D.-F., Xie, K., Xu, L., Xing, Z., & Bi, X.-A. (2026) · Meta-Radiology · doi:10.1016/j.metrad.2026.100217 · Cited by 1
Yoshikawa, H., Yoshida, E., 松本崇宏, Sugita, K., Kamiya, S., Ohgita, T., Kobuchi, S., Shimohama, S., & Takata, K. (2026) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2026.118664 · Cited by 1
Atanasova, B., Tokmakova, M. P., Dzhambov, A. M., Chitak, R., & Atanassova, P. A. (2026) · Clinics and Practice · doi:10.3390/clinpract16050082 · Cited by 1
Early diagnosis of Alzheimer's disease through handwriting analysis and deep learning: A review
Tang, Q., Jiaxi, L., Fan, C., Zhang, X. X., Zhang, C. F., & Qi, H. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261446573 · Cited by 1
Trends in Dementia Prevalence Across Latin America and the Caribbean
Llibre‐Guerra, J. J., Wu, Y.-T., Acosta, I., Soria, C., Sosa, A. L., Acosta, D. M., Jiménez‐Velázquez, I. Z., Guerra, M., Salas, A., Lu, R., et al. (2026) · JAMA Neurology · doi:10.1001/jamaneurol.2026.2305 · Cited by 1
Baksh, R. A., Strydom, A., Carter, B., Carrière, I., & Ritchie, K. A. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12563
Warum ist die Früherkennung von Alzheimer wichtig?
Beyer, L., & Gerwert, K. B. (2024) · Nomos Verlagsgesellschaft mbH & Co. KG eBooks · doi:10.5771/9783748940920-69 · Cited by 1
Liang, J., Menon, A., Tomco, T., Bhattarai, N., Smith, I. N., Khrestian, M., Formica, S. V., Eng, C., Buck, M., & Bekris, L. M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25179667 · Cited by 1
Salkhori, F., Taghvatalab, S., Abouelsoud, M., Barzegar, M., Mema, F., Dodin, S., Guessoum, A., Mishelevich, D., & Kashou, N. H. (2024) · Artificial intelligence · doi:10.5772/intechopen.115541 · Cited by 2
The urgent and global need for democratized blood-based biomarker diagnostics in Alzheimer's disease
Quinn, S. D. (2025) · The Journal of Precision Medicine Health and Disease · doi:10.1016/j.premed.2025.100002 · Cited by 1
Toward a Systematic Understanding of Epigenetic Contribution to Normal Aging and Alzheimer’s Disease
Zhang, Z., Cui, X., & Zhang, W. (2025) · RNA technologies · doi:10.1007/978-3-031-91072-2_16 · Cited by 1
Early Detection of Alzheimer’s Disease with EEG Signals Using Vision Transformer
Vyawhare, D., Telangore, H., Sharma, M. K., & Satapathy, S. K. (2025) · International Conference on Artificial Intelligence and Machine Vision (AIMV) · doi:10.1109/aimv66517.2025.11203411 · Cited by 1
Chen, Y., Ma, H., Jin, M., Zhang, S., Qu, S., Wang, G., & Aa, J. (2025) · Pharmaceuticals · doi:10.3390/ph18121871 · Cited by 1
Dietary Trends and Dementia - A Multi-Country Ecological AnalysisPreprint
Reed, R. L. (2023) · medRxiv · doi:10.1101/2023.01.09.23284344 · Cited by 1
Neuroprotective Effects of Photobiomodulation and Taurine on SH-SY5Y CellsPreprint
Rossato, R. C., Albuquerque, A. L., Salles, G. N., Porcionatto, M. A., Granato, A. E. C., Ulrich, H., dos Santos, M. I. B., & Soares, C. P. (2024) · Preprints.org · doi:10.20944/preprints202404.0362.v1 · Cited by 1
He, J., Cabrera‐Mendoza, B., Friligkou, E., Mecca, A. P., van Dyck, C. H., Pathak, G. A., & Polimanti, R. A. (2024) · medRxiv · doi:10.1101/2024.06.12.24308850 · Cited by 1
Repurpose Macelignan as a Potential Drug candidate for Alzheimer’s disease: In-Silico StudyPreprint
Pradhan, R., Shrestha, A., Upadhyaya, S. R., Khatiwada, R., Chauhan, J., Poudel, P., Sharma, K. R., & Parajuli, N. (2024) · Research Square · doi:10.21203/rs.3.rs-4720869/v1 · Cited by 1
Connecting genomic and proteomic signatures of amyloid burden in the brainPreprint
Puerta, R., de Rojas, I., García‐González, P., Olivé, C., Sotolongo‐Grau, Ó., García‐Sánchez, A., García‐Gutiérrez, F., Montrreal, L., Tartari, J. P., Sanabria, Á., et al. (2024) · medRxiv · doi:10.1101/2024.09.06.24313124 · Cited by 1
SARENG, H. R., Dutta, N., Ghosh, S., Chowdhury, U., Nelson, V. K., Prasad, M., Mandal, S. C., Mandal, A. K., & Pal, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.09.647992 · Cited by 1
Misclassification in memory modification in AppNL-G-F knock-in mouse model of Alzheimer’s diseasePreprint
Huang, M.-L., Suzuki, Y., Sasaguri, H., Saito, T., Saido, T. C., & Imayoshi, I. (2025) · eLife · doi:10.7554/elife.105347.2 · Cited by 1
Macfarlane, S., Grimmer, T., Teo, K. G., O'Brien, T. J., Woodward, M., Grunfeld, J. A., Mander, A. G., Brew, B. J., Morris, P., Short, C., et al. (2025) · medRxiv · doi:10.1101/2025.09.27.25336656 · Cited by 1
Kirk, M., Canfell, O. J., Pirbaglou, M., Chowdhury, F., Smith, M., Reid, R., Hitchcock, A. D., Baudin, J., Chang, B., Knight, H., et al. (2025) · medRxiv · doi:10.1101/2025.10.09.25337399 · Cited by 1
Shi, Y., Zhang, R., Li, M., Xia, Y., Zhou, M., Cao, R., Zhou, Q., & Zhang, Y. (2026) · Theranostics · doi:10.7150/thno.131311
“The characteristic of the disease is the gradual deterioration of cognitive functions due to damage to neural connections, which may lead to the death of many elderly people [1, 2].”
Targeting Various Pathogenic Pathways for the Development of Anti-alzheimer’s Drugs: An Update
Ambreen, S., Fatima, N., Umar, M., Shaququzzaman, M., Alam, M. M., & Ali, R. (2023) · Current Topics in Medicinal Chemistry · doi:10.2174/0115680266274924231002110733
Nedunsaliyan, S. D. O., Ashari, A., Ibrahim, R. B., & Manoharan, T. N. (2023) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v13-i11/19482
Vu, D.-T., Can, D.-C., Diaz, C. S., Bodelet, J., Blanc, G. E., Phan, H., Allali, G., Nguyen, V.-D., Cao, H., He, X., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.11.584383
Gene-Based Management of Alzheimer’s Disease: Role of Coumarins of Ferulago Genus
Dabaghian, F., Niaraki, S. R. A. H., Azargashb, N., Aalinezhad, S., Sharifzadeh, M. S., Delnavazi, M., & Khanavi, M. (2024) · Sustainable landscape planning and natural resources management · doi:10.1007/978-3-031-60117-0_14
Jehangir, M., Ali, R., Hui, W. X., & Wang, Y. (2024) · Cognizance Journal of Multidisciplinary Studies · doi:10.47760/cognizance.2024.v04i07.015
Prediction of cognitive impairment among Medicare beneficiaries using a machine learning approach
Yue, Z., Jaradat, S. K., & Qian, J. (2024) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2024.105623
Metadata
- Authors
- Nandi, A., Counts, N., Chen, S., Seligman, B., Tortorice, D., Vigo, D., & Bloom, D. E.
- Affiliations
- Population Council (US)
- Albert Einstein College of Medicine (US)
- Heidelberg University (DE)
- University of California, Los Angeles (US)
- College of the Holy Cross (US)
- University of British Columbia (CA)
- Harvard University (US)
- Corresponding author
- Nandi, Arindam
- Venue
- eClinicalMedicine
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 51
- Pages
- 101580
- ISSN
- 2589-5370 (ISSN-L)
- PMC
- PMC9310134
- OpenAlex
- W4286696753
- Cited by
- 402
- References
- 38
- Citations by year
- 2026: 91 · 2025: 166 · 2024: 95 · 2023: 45 · 2022: 5
- FWCI
- 50.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- EClinicalMedicine (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Pfizer
- Merck
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease and related dementias, economic burden, value of a statistical life, disability-adjusted life years, population aging, low- and middle-income countries, health disparities, future projections, willingness to pay, global burden of disease
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review