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Alzheimer’s Disease: Epidemiology and Clinical Progression
Open accessAbstract
Alzheimer's disease (AD) is prevalent throughout the world and is the leading cause of dementia in older individuals (aged ≥ 65 years). To gain a deeper understanding of the recent literature on the epidemiology of AD and its progression, we conducted a review of the PubMed-indexed literature (2014-2021) in North America, Europe, and Asia. The worldwide toll of AD is evidenced by rising prevalence, incidence, and mortality due to AD-estimates which are low because of underdiagnosis of AD. Mild cognitive impairment (MCI) due to AD can ultimately progress to AD dementia; estimates of AD dementia etiology among patients with MCI range from 40% to 75% depending on the populations studied and whether the MCI diagnosis was made clinically or in combination with biomarkers. The risk of AD dementia increases with progression from normal cognition with no amyloid-beta (Aβ) accumulation to early neurodegeneration and subsequently to MCI. For patients with Aβ accumulation and neurodegeneration, lifetime risk of AD dementia has been estimated to be 41.9% among women and 33.6% among men. Data on progression from preclinical AD to MCI are sparse, but an analysis of progression across the three preclinical National Institute on Aging and Alzheimer's Association (NIA-AA) stages suggests that NIA-AA stage 3 (subtle cognitive decline with AD biomarker positivity) could be useful in combination with other tools for treatment decision-making. Factors shown to increase risk include lower Mini-Mental State Examination (MMSE) score, higher Alzheimer's Disease Assessment Scale (ADAS-cog) score, positive APOE4 status, white matter hyperintensities volume, entorhinal cortex atrophy, cerebrospinal fluid (CSF) total tau, CSF neurogranin levels, dependency in instrumental activities of daily living (IADL), and being female. Results suggest that use of biomarkers alongside neurocognitive tests will become an important part of clinical practice as new disease-modifying therapies are introduced.
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“The diseases encompass various severe conditions, including neurodegenerative disorders like Alzheimer’s disease (AD) [3, 4] and Parkinson’s disease (PD) [5, 6], as well as traumatic brain injuries (TBI) [7] and spinal cord injuries (SCI) [8].”
From Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions (2024) · cites this paper as [4]
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Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152
Diagnostic and Statistical Manual of Mental Disorders (DSM-IV)
Hu, R. J. (2003) · Elsevier eBooks · doi:10.1016/b0-12-226870-9/01070-4 · Cited by 9,168
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396
Scheltens, P., Blennow, K., Breteler, M. M. B., de Strooper, B., Frisoni, G. B., Salloway, S., & Van der Flier, W. M. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01124-1 · Cited by 3,125
Harada, C. N., Love, M. C. N., & Triebel, K. L. (2013) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2013.07.002 · Cited by 2,649
Nichols, E., Szoeke, C. E. I., Vollset, S. E., Abbasi, N., Abd-Allah, F., Abdela, J., Aichour, M. T. E., Akinyemi, R. O., Alahdab, F., Asgedom, S. W., et al. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30403-4 · Cited by 2,412 · cited 2×
“4% of all deaths attributable to dementia in 2016 [31].”
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Yu, S. P., Gu, X., Jiang, M. Q., Sastry, A., Wu, L., Li, Y., & Wei, L. (2025) · Cells · doi:10.3390/cells14231871 · Cited by 3
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Wu, H., Chen, Q., Fang, M., Hui⁃dong, T. A. N. G., Liu, H., Liu, J., Zhang, J., Chi, L., Liu, S., Xin, J., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71702 · Cited by 3
Zhang, J., Xu, X., Zhang, X., Yin, Y., & Wang, J. (2023) · BMC Geriatrics · doi:10.1186/s12877-023-03846-w · Cited by 3
Ikeda, M., Toya, S., Manabe, Y., Yamakage, H., & Hashimoto, M. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01419-6 · Cited by 3
Sinha, T., Bokhari, S. F. H., Khan, M. U., Shaheer, M., Amir, M., Zia, B. F., Bakht, D., Javed, M. A., Almadhoun, M. K. I. K., Burhanuddin, M., et al. (2024) · Cureus · doi:10.7759/cureus.58677 · Cited by 3
Saliu, J. A., Olajuyin, A. M., & Monday, O. O. (2024) · Pharmacological Research - Modern Chinese Medicine · doi:10.1016/j.prmcm.2024.100437 · Cited by 3
Chu, H., Huang, C., Xie, F., & Guo, Q. (2024) · Neurology and Therapy · doi:10.1007/s40120-024-00666-x · Cited by 3
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Wang, H. (2025) · American Journal of Translational Research · doi:10.62347/yopp4162 · Cited by 3
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Ojo, O. A., Maduakolam-Aniobi, T. C., Gyebi, G. A., Soyinka, T. O., Ejiogu, O. F., Ojo, A. B., Alruwaili, M., Ali, N. H., Alnaaim, S. A., Alsfouk, B. A. A., et al. (2025) · Nutrire · doi:10.1186/s41110-025-00335-5 · Cited by 3
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Bandeira, J., & Fagundes, R. (2025) · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI) · doi:10.5753/sbsi.2025.246492 · Cited by 3
Caldero-Escudero, E., Romero-Sanz, S., Álvarez-Illera, P., de la Fuente, S., García-Casas, P., Fonteríz, R. I., Montero, M., Álvarez, J., & Domingo, J. S. (2025) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2025.167946 · Cited by 3
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Yang, Y., Liu, X., Li, W., Yuan, S., Wu, X. C., & Guo, R. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108049 · Cited by 3
Wen, J., Hu, J., Yang, X., Luo, F., & Zou, G. (2025) · Current Alzheimer Research · doi:10.2174/0115672050399031250623062112 · Cited by 3
Du, Y., Zhang, Y., Diao, J., Fu, P., Jiang, R., Wang, P., Yang, H., Zheng, X., Zhang, L., Bi, J., et al. (2023) · The FASEB Journal · doi:10.1096/fj.202301485r · Cited by 2
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Alrikabi, A., Allahyani, W., Shaghath, A., Alrashdi, J., Almoqhem, R., Alasmari, F. F., Al-Qerem, W. A., & Albasher, G. I. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1634601 · Cited by 2
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Fazio‐Eynullayeva, E., Mystkowski, P., Lv, L., Aly, A., Cotton, S. E., Grant, N., Johnson, W., & Mattke, S. (2025) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/15333175251375378 · Cited by 2
Huang, Y., Han, M. H., Fu, Y., Wang, G., Kong, L., Mo, J., Cao, D., Chu, Z., & Li, W. (2025) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2025.178349 · Cited by 2
Yang, Y., Atiya, A., Alrouji, M., Alshammari, M. S., Sharaf, S. E., Yadav, D. K., Alshehri, S. A., Shahwan, M. J., & Shamsi, A. (2025) · Journal of Chemistry · doi:10.1155/joch/2537269 · Cited by 2
Song, J., Lu, Q., Zhang, S., He, C., Zhang, T., Yan, H., Han, Y., Wang, H., Liu, H., Zhao, Z., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121636 · Cited by 2
Salman, B., Haidar, R., Faour, V., Ali, W. A., Aridi, L., Harb, F., Azar, S. T., Khattar, Z. A., & Ghadieh, H. E. (2025) · Health Sciences Review · doi:10.1016/j.hsr.2025.100251 · Cited by 2
Shah, M., Patel, K., Kulkarni, U., Yadav, M. R., Patel, A., & Nagani, A. (2026) · Molecular Diversity · doi:10.1007/s11030-025-11458-2 · Cited by 2
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Reichau, K., Crouzier, L., Poeta, E., Gehrig, T., Schaller, E., Zvejniece, L., Meunier, J., Sotriffer, C., Monti, B., Maurice, T., et al. (2026) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.5c00921 · Cited by 2
Handajani, Y. S., Turana, Y., Hengky, A., & Kristian, K. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261415596 · Cited by 2
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Luo, S., Liu, H., Xiao, T., Li, Y., Liu, X., Xiao, X., Liao, X., Liu, Y., Zhou, Y., Wang, J.-L., et al. (2026) · Cell Reports Medicine · doi:10.1016/j.xcrm.2026.102631 · Cited by 3
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Ueda, M., Suzuki, T., Yoshimizu, T., Konuma, T., Maekawa, M., Sasase, T., Initiative, A. D. N., & Nishiu, J. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261418310 · Cited by 2
Şener, H., Ozer, F., Polat, O. A., Ogurlu, B., Sönmez, H. K., Gültekin, M., & Horozoğlu, F. (2026) · Documenta Ophthalmologica · doi:10.1007/s10633-026-10089-8 · Cited by 2
Chen, Y., Zhou, X., Wang, K., Feng, H., Tian, B., Tang, Y., Zhu, X., & Sun, Z. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1779257 · Cited by 2
Lin, Y., Tao, Y., He, Z., Wang, H., Zheng, Y., & Jin, Y. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1788223 · Cited by 2
Zafari, R., Kamroo, A., Taherkhani, T., Nabizdeh, F., & Aarabi, M. H. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.05.010 · Cited by 3
Liu, C., Zhu, Z., Lin, H., Bush, W. S., Jenq, R. R., Cominelli, F., Pillai, J. A., Haines, J. L., Zhu, X., Xu, R., et al. (2026) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2026.1735332 · Cited by 2
Menezes, J., Barbosa, M. I. A., & Rodrigues, P. M. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.111143 · Cited by 2
Kakorina, E. P., Samorodskaya, I. V., & Константиновна, Ч. Т. (2023) · Russian Journal of Forensic Medicine · doi:10.17816/fm753 · Cited by 2
Doostdar, A., Nabovati, P., Asharlous, A., & Khabazkhoob, M. (2023) · International Journal of Ophthalmology · doi:10.18240/ijo.2023.04.17 · Cited by 2
Rezapour-Nasrabad, R., Heydari, M., Moqaddam, S. F. M., Piri, S., Moghimi, E. S., & Rustaee, S. (2023) · Galen Medical Journal · doi:10.31661/gmj.v12i.3205 · Cited by 2
Thatha, V. N. (2024) · Journal of Electrical Systems · doi:10.52783/jes.2849 · Cited by 2
He, C., Hu, X., Wang, M., Yin, X., Zhan, M., Li, Y., Sun, L., Du, Y., Chen, Z., Wang, H., et al. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1352129 · Cited by 2
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Umoh, I., Xia, X., Winblad, B. G., Aye, S., Aho, E., Rhodius‐Meester, H. F. M., & Jönsson, L. (2025) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000544801 · Cited by 2
Shi, N., Bakulski, K. M., Burke, J. F., & Brouwer, A. F. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251324236 · Cited by 2
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Aly, H. F., Fouad, G. I., Khalil, W. K. B., Kamel, N. N., El-Rigal, N. S., Ahmed, K. A., Taha, D. A., Shalaby, M. B., El‐Karim, S. S. A., Baker, D. H. A., et al. (2025) · Neurological Research · doi:10.1080/01616412.2025.2520021 · Cited by 2
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Kolakemar, A., Gangachannaiah, S., Holla, S. N., Mohandas Rao, K. G., Shenoy, S., Chinta, R., Mehta, C. H., & Nayak, U. Y. (2024) · Research Journal of Pharmacy and Technology · doi:10.52711/0974-360x.2024.00029 · Cited by 2
Gohil, N. V., Fuentes-Gandara, F., Gohil, H., Gurajala, S., Innocent, D. C., Tesfaye, T., & Praticò, D. (2024) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-240057 · Cited by 2
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Khosroabadi, Z., Niazmand, A., Mousavi, S. R., Hosseini, N., Bagheri, N., Chitsaz, A., & Salehi, M. (2025) · Current Alzheimer Research · doi:10.2174/0115672050381537250422075255 · Cited by 2
Liu, C., Wang, X., Xu, W., Yu, S., Zhang, Y., Xu, Q., & Tan, X. (2025) · Pharmaceuticals · doi:10.3390/ph18070977 · Cited by 2
Zhang, H., Zhang, J., Hsu, C. L., Hui, E. S. K., Tse, K., Mak, H. K., & Shum, D. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf278 · Cited by 2
Bhratee, A., Kumar, M., Alam, M. R., Anand, P., & Singh, S. (2023) · Current Pharmacology Reports · doi:10.1007/s40495-023-00325-z · Cited by 2
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Che, H.-Y., Ai, J.-Q., Chen, Y., Cai, X.-L., Wang, Y., Jiang, J., Zhang, Q., Tu, T., Tu, E., Che, C., et al. (2022) · Human Brain · doi:10.37819/hb.001.001.0206 · Cited by 2
Self-citationGraphene as the basis of biological sensors for the diagnosis of neurodegenerative dementia
Vorobev, S. V., Ternovykh, I. К., Lebedev, A. A., Smirnov, A. N., Усиков, А. С., & Лебедев, С. П. (2022) · Russian Military Medical Academy Reports · doi:10.17816/rmmar111884 · Cited by 2
Key genes associated with Alzheimer's disease and periodontitisPreprint
Zhou, K., Wang, L., Wu, L., Wu, Q. Y., Zhu, L., Yang, X., & Li, D. (2022) · Research Square · doi:10.21203/rs.3.rs-2230514/v1 · Cited by 2
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Castano-Villegas, N., Llano, I., Villa, M. C., Martinez, J., Zea, J., Urrea, T., Bañol, A. M., Bohorquez, C., & Martinez, N. (2024) · medRxiv · doi:10.1101/2024.09.04.24312955 · Cited by 2
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Li, W., Wu, S., Chen, Y., & Wang, X. (2024) · International Conference on Advanced Algorithms and Control Engineering (ICAACE) · doi:10.1109/icaace61206.2024.10548041 · Cited by 1
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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
Ren, T., Yuchi, Y., Feng, L., Wang, X., Liao, W., Tian, Z., Zhang, H., Tian, Y., Li, Y., & Wang, C. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1566659 · Cited by 1
Zanini, L., D’Antonio, F., Vita, A. D., Talarico, G., Monti, M. S., Panigutti, M., Bruno, G., Spitoni, G. F., & Guariglia, C. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251362249 · Cited by 1
Pinkley, N., Banik, U., Anam, N., Oza, A., Ledford, K. J., & Sharma, B. (2026) · Sensors · doi:10.3390/s26061999 · Cited by 1
Recchia, D., Michel Raymond, A., Berticat, C., & Artéro, S. (2026) · Advances in Nutrition · doi:10.1016/j.advnut.2026.100657 · Cited by 1
Gerlando, R. D., Dragoni, F., Rizzo, B., Ferrari, R. R., Zardini, E., Ramusino, M. C., Perini, G., Costa, A. C., Poloni, T. E., Pansarasa, O., et al. (2024) · Aging and Disease · doi:10.14336/ad.2024.0350 · Cited by 1
Cao, D., Zhang, S., Zhang, Y., Shao, M., Yang, Q., & Wang, P. (2024) · BMC Cancer · doi:10.1186/s12885-024-12787-5 · Cited by 1
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Pardo-Pérez, I., Sánchez-Valdeón, L., Gallego, A. G., Estébanez, B., Verdejo, I. C., Fernández-Fernández, J. A., Méndez-Martínez, C., & Bello-Corral, L. (2025) · Scientific Reports · doi:10.1038/s41598-025-98323-2 · Cited by 1
Metadata
- Authors
- Tahami Monfared, A. A., Byrnes, M. J., White, L. A., & Zhang, Q.
- Affiliations
- Eisai (United States) (US)
- Venue
- Neurology and Therapy
- Published
- 2022-03-14
- Volume
- 11
- Issue
- 2
- Pages
- 553-569
- ISSN
- 2193-6536 (ISSN-L)
- 2193-8253
- PMC
- PMC9095793
- OpenAlex
- W4221041873
- Cited by
- 629
- References
- 74
- Citations by year
- 2026: 161 · 2025: 208 · 2024: 161 · 2023: 80 · 2022: 19
- FWCI
- 20.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Neurology and Therapy (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Eisai
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- Alzheimer's disease, clinical progression, mild cognitive impairment, amyloid-beta deposition, neurodegeneration, preclinical Alzheimer's disease, disease risk factors, APOE ε4, white matter hyperintensities, entorhinal cortex atrophy, cerebrospinal fluid biomarkers, tau protein, neurogranin, dementia mortality, underdiagnosis, disease-modifying therapy
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