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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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Items 501–600 of 652
Kang, J., Chen, J., Li, P., Zhao, S., Jing, F., Xie, J., & Dong, C. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1669835
Afridi, M. A., Khalid, M. M., & Din, R. U. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251394315
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Gao, Y., Lin, S., Jiang, M. H., Wu, P., Wang, J., Yang, Z., & Liu, Y. (2025) · Neuroradiology · doi:10.1007/s00234-025-03855-z
Physicochemical properties for potential Alzheimer's disease drugs
Gado, S., Ateş‐Alagöz, Z., & Adejare, A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-30008-0.00017-x
Valencia‐Olvera, A. C., Balu, D., Bellur, S., McNally, T. P., Saleh, Y., Pham, D., Ghura, S., York, J. M., Johansson, J. O., LaDu, M. J., et al. (2023) · Figshare · doi:10.6084/m9.figshare.24844648
Valencia‐Olvera, A. C., Balu, D., Bellur, S., McNally, T. P., Saleh, Y., Pham, D., Ghura, S., York, J. M., Johansson, J. O., LaDu, M. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24844709
Valencia‐Olvera, A. C., Balu, D., Bellur, S., McNally, T. P., Saleh, Y., Pham, D., Ghura, S., York, J. M., Johansson, J. O., LaDu, M. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654539
Valencia‐Olvera, A. C., Balu, D., Bellur, S., McNally, T. P., Saleh, Y., Pham, D., Ghura, S., York, J. M., Johansson, J. O., LaDu, M. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654542
Valencia‐Olvera, A. C., Balu, D., Bellur, S., McNally, T. P., Saleh, Y., Pham, D., Ghura, S., York, J. M., Johansson, J. O., LaDu, M. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654536
Ikeda, M., Toya, S., Manabe, Y., Yamakage, H., & Hashimoto, M. (2024) · Figshare · doi:10.6084/m9.figshare.25405965
Dobrynina, L. A., Gadzhieva, Z. S., Shamtieva, K. V., Kremneva, E. I., Volik, A. V., Akhmetshina, Y. I., Zabitova, M. R., & Kalashnikova, L. A. (2025) · Almanac of Clinical Medicine · doi:10.18786/2072-0505-2025-53-023
Ablona, K. A. G., & Cenina, A. R. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251405290
Pan, W., Wang, H., & Yao, Z. (2025) · Neuropharmacology and Therapy · doi:10.15212/npt-2025-0019
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Casapu, C.-I., & Moldovanu, S. (2025) · doi:10.1109/iseee67817.2025.11304814
Sharma, K., Tiwari, N., & Tapadia, M. G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.31.696993
Sánchez-Puebla, L., López‐Cuenca, I., Sánchez-Puebla, M. A., Granados, A., RAMIREZ, A., Lloréns, J., Saido, T. C., Saito, T., Nieto‐Vaquero, C., Moro, M. Á., et al. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1712480
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Tarcea, M., & Matran, I. M. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33716-1.00002-9
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Hirmiz, R. (2026) · Bioethics · doi:10.1111/bioe.70085
Zhu, Y., Yang, Y., Li, W., Shi, N., Wang, Y., Nan, J., Zhang, X., Han, L., & Ma, Y. (2026) · Neurological Sciences · doi:10.1007/s10072-025-08772-w
Nasiri, H., KHOSRAVI, F., Ashrafi, M., Niknam, N., Fard, A. M., Koumleh, B. A., Amirian, M. A., Marnani, S. A. S., Sadeghi, M., Delshad, S., et al. (2026) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2026.109360
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Gaikwad, B. S., & Kumar, A. S. (2025) · International Conference on Advances in Next-Gen Computer Science (ICANCS) · doi:10.1109/icancs65819.2025.11379781
Hakim, M., Ranjan, R., Ken‐Dror, G., Yusuf, M. A., Uddin, M. N., Mamun, M. T., Mamun, A. A., Kawnayn, G., & Sharma, P. K. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261419066
Sirag, N., Elfadil, H., Ghabban, A. J., Alasiri, A. M., Alnasser, I. R., Bedaiwi, H. S., Alharbi, S. F., Almarwani, M. J., Aljohani, O. M., Hassan, H. M., et al. (2026) · The Keio Journal of Medicine · doi:10.2302/kjm.2025-0017-oa
Leminie, A. A. (2026) · Preprints.org · doi:10.20944/preprints202603.0482.v1
Tasnim, A., & Lehrner, J. P. (2026) · Wiener klinische Wochenschrift · doi:10.1007/s00508-026-02721-z
Christybai, P. J., & Priya, R. (2026) · International Conference on Electronics and Renewable Systems (ICEARS) · doi:10.1109/icears67481.2026.11416581
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Chen, C., He, Y., Ni, Y., Song, D., Chu, M., & Zhang, W. (2026) · iScience · doi:10.1016/j.isci.2026.115311
Nada, H., Zhang, L., Kaur, B., García-Vázquez, N., & Gabr, M. T. (2026) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2026.151402
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Wetzel, A.-J., & Wuttke, A. (2026) · Psychotherapie im Alter · doi:10.30820/1613-2637-2026-1-9
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wang, S., Chen, J., Wang, X., Xu, Y., & He, T. (2026) · Turkish Journal of Biochemistry · doi:10.1515/tjb-2025-0381
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Harutyunyan, H. S., Minasyan, R., Kalueff, A. V., & Yenkoyan, K. B. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.03.028
Si, W., Ma, X., Lin, J., Xu, T., Wang, R., Zhu, A., & Cao, W. (2026) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2026.106412
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Serebrennikova, P. O., Paznikova, Y. A., Kazakova, E. D., Kirnos, E. A., Musikhina, A. A., Рудакова, Е. В., Kovaleva, N. V., Boltneva, N. P., Ganebnykh, I. I., Makhaeva, G. F., et al. (2026) · Russian Chemical Bulletin · doi:10.1007/s11172-026-4879-4
Kouassi, K. L., Ehoulan, F. R. E. A., Beuseize, A., Broh, N. Y. C., Souza, A. N. T. E.-D., Yeo, S., Abbé, A. S., & Doumbia-Ouattara, M. (2026) · BMC Neurology · doi:10.1186/s12883-026-04867-9
Badal, V. D., Campbell, L. M., Harvey, P. D., Pinkham, A. E., Moore, R. C., & Depp, C. A. (2026) · The American Journal of Geriatric Psychiatry Open Science Education and Practice · doi:10.1016/j.osep.2026.03.006
He, L., He, X., Li, X., Wang, S., Ji, C., Yin, F., Yang, X., He, Y., Zuo, P., & Gao, J. (2026) · Brain and Behavior · doi:10.1002/brb3.71398
Abdullah, A., Fatima, Z., Ruiz, M. J. T., Espinosa-Sosa, O., Sanchéz-Mejorada, C. G., Quintero, R., Rodríguez, J. L. O., & Sidorov, G. (2026) · Journal of Intelligence · doi:10.3390/jintelligence14040066 · Cited by 1
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Sonawane, G., Pansare, K. V., Sonawane, D. D., Patil, C. D., & Mahajan, S. (2026) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898814953126010012
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Anand, P., Kumar, D., Gupta, S., Tiwari, J., & Singh, S. N. (2026) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898814953126010006
Kumar, I., Rani, D., & Pathania, K. (2026) · Current Trends in Pharmacy and Pharmaceutical Chemistry · doi:10.18231/j.ctppc.39626.1776405949
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Kumar, D., Anand, P., Tiwari, J., & Singh, S. N. (2026) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898814953126010016
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takaliuang, D. S., Muljadi, R., Sutanto, R., Situmeang, R., & cucunawangsih (2026) · Research Square · doi:10.21203/rs.3.rs-8824555/v1
Bdair, M., Zahran, A., Jallad, H., Barham, I., Qubbaj, A., Aburabi’e, M., Jarrar, B., Aburajab, J., Alsafareeni, Z., Mansor, A., et al. (2026) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-026-02250-w
Tekin, N., Şahin, F., Şahin, B., Kaya, Z. Z., Yılmaz, A., Graham, S. F., Serteser, M., & Baykal, A. T. (2026) · Metabolic Brain Disease · doi:10.1007/s11011-026-01848-2
SHAP-Based Interpretion of Machine Learning Prediction Models for Mild Cognitive Impairment
Wang, Z., Ding, Z., Liu, C., Zhong, B., & Lu, J. (2026) · Communications in computer and information science · doi:10.1007/978-981-95-6739-3_30
Ray, N. R., Kurup, J. T., Kumar, A., Rajabli, F., Wang, L., Xu, W., Jin, F., Yılmaz, E., Kızıl, Ç., Nasciben, L. B., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71433 · Cited by 1
Dong, Y., Jin, H., Wang, S., & Xu, Y. (2026) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2026.1802923
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Jothe, J. S., Naitam, M. G., Ponmariappan, S., & Pandey, A. C. (2026) · Cognitive systems monographs · doi:10.1007/978-3-032-18782-6_3
Yang, X., Lyu, J., Wang, J., & Quan, Y. (2026) · BMC Neuroscience · doi:10.1186/s12868-026-01035-0
Giuliani, C., Schmidlin, P. R., & Fakheran, O. (2026) · Journal of Evidence Based Dental Practice · doi:10.1016/j.jebdp.2026.102307
Valente, G., Bauco, C., Bucca, C., Corte, F., Petrillo, A., Tonietti, D., Sturco, N. D., & Diotaiuti, P. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1776156
Xu, H. X., Nanda, S., Sun, J., Rudd, M., Gou, L., Marks, H. L., Williams, C. K., Magaki, S., Vinters, H. V., Hintiryan, H., et al. (2026) · Acta Neuropathologica Communications · doi:10.1186/s40478-026-02317-8
Singh, S. G., Hazarika, B. B., & Gupta, D. D. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.110593
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Gonalez‐Duran, L., Ilundáin, J. E., Ríos‐Rivera, M. M., Montoya, G., & Riverol, M. (2026) · Research Square · doi:10.21203/rs.3.rs-9629813/v1
Beyond traditional tests: Assessing face recognition in mild cognitive impairment
Tepe, O., Karataş, M. C., Söyler, H. Ç., Kumral, D. E., & Amado, S. (2026) · The Clinical Neuropsychologist · doi:10.1080/13854046.2026.2674008
Li, Y., Li, H., Xu, Z., & Zhou, S. K. (2026) · Medical Image Analysis · doi:10.1016/j.media.2026.104126 · Cited by 1
Martins, R., Cao, Y., & Wu, J. (2026) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823261449503
Mu, Y., Yu, S., Yang, Z., Chen, S., & Sun, J. (2026) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2026.179014
Okda, M., El-Masry, S. M., Helmy, M. W., & Abbas, H. (2026) · Scientific Reports · doi:10.1038/s41598-026-53290-0
Naming performance in bilinguals with Alzheimer's disease and mild cognitive impairment
Sainz-Pardo, M., Hernández, M., Suades, A., Juncadella, M., Ortiz‐Gil, J., Ballester, L. U., Sala, I., Lleó, A., & Calabria, M. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261452694
Zheng, D. D., Curiel, R. E., Ortega, A., Crenshaw, K. H., Crocco, E., Vaillancourt, D. E., Armstrong, M. J., Wang, W.-E., Asken, B. M., Adjouadi, M., et al. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261453396
Ghiamaty, Z., Akhlaghi, M., Jokar, S., Hafezi, H., Bavi, O., Sharifzadeh, M., Sabzevari, O., Ardestani, M. S., Ghorbandaeipour, T., Asadi, M., et al. (2026) · Advanced Pharmaceutical Bulletin · doi:10.34172/apb.46659
Morais, R. F., Duro, D., Pires, R. G., Lemos, R., Lima, M., Oliveira, T. G., & Santana, I. J. (2026) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0000000000000420
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Kaur, S. D., SINGH, V. A., Kaurav, H., Nangare, S., & Vihal, S. (2026) · Nutritional Neuroscience · doi:10.1080/1028415x.2026.2682949
Yusuf, A., Harati, R., Greish, K., & Haider, M. A. (2026) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2026.108594
Hao, Y., Yang, H., Zhong, J., Zhang, J., He, X., & Dong, X. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1821074
Guo, N., Wang, F., Wang, Y., Du, J., ZHANG, Q., Cao, W., Su, J., Zhao, F., Wang, J., Pang, X., et al. (2026) · RSC Medicinal Chemistry · doi:10.1039/d6md00363j
Self-citationOlajide, A. T., Aunsorn, S., Kehinde, S. A., Kaewmanee, T., & Chusri, S. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27125488
Yang, L., Zeng, J., Luwen, H., & Li, L. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261460745
Oritsemuelebi, B., Ben‐Azu, B., Oyagbemi, A. A., Awogbindin, I. O., Chidebe, E. O., Onuelu, J. E., Iwhiwhu, P., Ohuche, J. C., Esuku, D. T., & Oghorodi, A. M. (2026) · Advances in neurotoxicology · doi:10.1016/bs.ant.2026.03.002
Onyekwere, O., Otaru, H. A., Ajala, A., Elebo, A., Ramu, R., & Kumar, N. (2026) · Scientific African · doi:10.1016/j.sciaf.2026.e03479
Jain, S., Kaur, R., & Singh, S. (2025) · Neurophysiology · doi:10.1007/s11062-026-10022-4
Gohar, N., Abbas, M., Masaud, S. M., Zulfiqar, I., Jabeen, H., Malik, N. S., & Nadeem, H. (2026) · ACS Omega · doi:10.1021/acsomega.6c01108
Elshekh, A., Abdelmaguid, A. M., Eltanany, R. M. A., El-kordy, Y. H., Khedr, A. A., Mekkawy, S. A., El‐Khadragy, M. F., Albrakati, A., Abdelfattah, M. S., & Moneim, A. E. A. (2026) · Journal of Visualized Experiments · doi:10.3791/71430
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Joshi, P., Tsai, P., Alix, A., & Gopalakrishna, G. (2026) · Advances in Psychiatry and Behavioral Health · doi:10.1016/j.ypsc.2026.05.004
Krishnamurthy, R., Ali, M. F., Sunena Rose, M. V., Ravi, A. T., Sujitha, R., & Israni, K. (2026) · International Conference on AI, Data Science, Cyber Security and Smart Manufacturing for Sustainable Development (ICADCS) · doi:10.1109/icadcs70036.2026.11583061
Jordan, D. M., Kritzer, E., Thompson, R. C., Lund, A. N., Patel, T., Grice, A. B., John, D., Initiative, A. D. N., Initiative, A. D. N., Goate, A., et al. (2026) · medRxiv · doi:10.64898/2026.07.07.26356710
Wang, Y., Wang, Y., Wang, Y., & Wang, J. (2026) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2026.105079
Liufu, L., Wu, M., Zeng, P., Yang, Y., Chen, C., Huang, J., Lin, S., Liu, H., & Xu, Y. (2026) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2026.100709
Elkotamy, M. S., Elgohary, M. K., Alkotami, A. S., Eldesouki, M. M., Elsayed, Z. M., Mattar, A. A., Abo-Ashour, M. F., Tawfik, H. O., Eldehna, W. M., & Abdel‐Aziz, H. A. (2026) · Scientific Reports · doi:10.1038/s41598-026-56505-6
Selective 10-Hz photic driving deficit shared between Alzheimer's and frontotemporal dementiaPreprint
Velez-Pardo, P., Monsalve, R. M., Vasquez, D., Cortina, S. C., & Guevara, E. M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7271529
Aubert, A., Comby, A.-C., Bramoulle, A., Mendoza-Ferri, M. G., Azzolin, P., Li, H., Moussy, A., Das, S., Colombo, B. M., & Mendoza-Parra, M. A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.23.740401
Selvaraj, N. R., Vijaya, B. S., Nandan, D., San, S., Nair, S. S., Nair, B. G., Venugopal, P., Aradhya, R., & Nair, V. A. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27156642
Hefny, A. A., Karuturi, R. C., Madhuranthakam, C. M. R., & Rao, P. P. N. (2026) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6c01959
Abouali, O., Mokabber, A., Naderpour, S., Vojoudi, E., Sefat, F., Saeinasab, M., Rahimzadegan, M., & Nosrati, R. (2026) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2026.127259
Metabolomic Discoveries for Traditional Chinese Medicine Efficacy in Alzheimer′s Disease
Sun, H., Huang, D., Yang, F., Zhang, P., Yang, D., & Zeng, C. (2026) · BioMed Research International · doi:10.1155/bmri/2455800
Cheng, Z., Wenlong, W. A. N. G., Zhang, M., Wu, J., Ma, W., & Xu, X. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7234316
Muhammad, N., Ai, R., Yang, L., Cui, Y., Wang, L., Weng, S., Wang, Y., Kakar, M. U., Khan, S., Ahmad, S., et al. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1877358 · Cited by 1
THERAPY FOR ALZHEIMER’S DISEASE - FOCUS ON LECANEMAB
Jońca, M., Majchrowicz, G., Kurys, N., Piekarska, W., Litke, S., & Gołacka, K. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.5795
Rheaume, B., Whisenhunt, K., Lainoff, E., Sporn, K., & Lee, A. G. (2026) · Springer eBooks · doi:10.1007/978-3-032-26761-0_4
A randomized phase 1b/2 trial of ABBV‐916 in adults with early Alzheimer's disease
Lynch, S. Y., Wang, Y., Wang, D., Bachhav, S. S., Xiong, H., Boiser, J. C., Stage, E., Bannon, A. W., Graff, O. X., & Florian, H. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71715
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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