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Rate of progression of mild cognitive impairment to dementia – meta‐analysis of 41 robust inception cohort studies
Open accessAbstract
Objective: To quantify the risk of developing dementia in those with mild cognitive impairment (MCI). Method: Meta‐analysis of inception cohort studies. Results: Forty‐one robust cohort studies were identified. To avoid heterogeneity clinical studies, population studies and clinical trials were analysed separately. Using Mayo defined MCI at baseline and adjusting for sample size, the cumulative proportion who progressed to dementia, to Alzheimer’s disease (AD) and to vascular dementia (VaD) was 39.2%, 33.6% and 6.2%, respectively in specialist settings and 21.9%, 28.9% and 5.2%, respectively in population studies. The adjusted annual conversion rate (ACR) from Mayo defined MCI to dementia, AD and VaD was 9.6%, 8.1% and 1.9%, respectively in specialist clinical settings and 4.9%, 6.8% and 1.6% in community studies. Figures from non‐Mayo defined MCI and clinical trials are also reported. Conclusion: The ACR is approximately 5–10% and most people with MCI will not progress to dementia even after 10 years of follow‐up.
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“Individuals diagnosed with MCI are a heterogeneous group, with only about 30 % of them developing Alzheimer’s dementia within 3 years after clinical MCI diagnosis [8].”
From Psychotherapeutic interventions in individuals at risk for Alzheimer’s dementia: a systematic review (2022) · cites this paper as [8]
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“Approximately 5−10% of MCI will progress to dementia each year and both MCI patients and those recovering from MCI have a higher risk of developing dementia than healthy older adults (Mitchell and Shiri-Feshki, 2009; Roberts et al., 2014).”
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“Although MCI can occur for reasons other than AD and some MCI patients remain stable or revert to normal cognition, approximately 32–38% of MCI patients convert to dementia within a 5-year follow-up [2, 3].”
BackgroundXu, H., Zhong, S., & Zhang, Y. (2023) · Physics in Medicine and Biology · doi:10.1088/1361-6560/accac8 · Cited by 18
Maimaitituerxun, R., Chen, W., Xiang, J., Xie, Y., Kaminga, A. C., Wu, X. Y., Chen, L., Yang, J., Liu, A., & Dai, W. (2023) · Journal of Diabetes · doi:10.1111/1753-0407.13384 · Cited by 18
“9% in hospital-based and communitybased populations, respectively.(15) Furthermore, the overall unadjusted pooled odd ratio (OR) for the progression of MCI to dementia in those with diabetes was found to be 1.”
BackgroundHuo, Y., Jing, R., Li, P., Chen, P., Si, J., Liu, G., & Liu, Y. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.05.025 · Cited by 18
Tukiainen, T., Jylänki, P., Mäkinen, V., Gröhn, O. H. J., Hallikainen, M., Soininen, H. S., Kivipelto, M., Kaski, K. K., Groop, P., Savolainen, M. J., et al. (2011) · The journal of nutrition health & aging · doi:10.1007/s12603-011-0341-9 · Cited by 18
“8605 BP systolic (mmhg) 156 (24) 154 (23) 0.”
Mascalchi, M., Ginestroni, A., Bessi, V., Toschi, N., Padiglioni, S., Ciulli, S., Tessa, C., Giannelli, M., Bracco, L., & Diciotti, S. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3568 · Cited by 18
“6% per year, as indicated in a meta-analysis.(39) As a matter of fact, only approximately 60% of patients with amnestic MCI, termed converters, ultimately have development of probable AD after 5 years, whereas the remainder have other forms of dementia, remain stable, or even revert to normal.”
BackgroundDeveloping a Non-Pharmacological Intervention for Individuals With Mild Cognitive Impairment
Rodakowski, J. L., Reynolds, C. F., López, O. L., Butters, M. A., Dew, M. A., & Skidmore, E. R. (2016) · Journal of Applied Gerontology · doi:10.1177/0733464816645808 · Cited by 18
“Older adults with MCI develop dementia at a rate of 10% to 15% per year (Mitchell & Shiri-Feshki, 2009).”
BackgroundSantabárbara, J., Gracia‐García, P., Pírez, G., López‐Antón, R., de la Cámara, C., Ventura, T., Pérez-Sastre, M., Lobo, E., Saz, P., Marcos, G., et al. (2016) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2016.07.005 · Cited by 18
Multivariate regression analysis of structural MRI connectivity matrices in Alzheimer’s disease
Rasero, J., Amoroso, N., Rocca, M. L., Tangaro, S., Bellotti, R., Stramaglia, S., & Initiative, A. D. N. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187281 · Cited by 18
Strand, B. H., Knapskog, A., Persson, K., Edwin, T. H., Bjertness, E., Engedal, K., & Selbæk, G. (2019) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000501269 · Cited by 18
Nguyen, P., Kim, K., Kim, A., Choi, B.-H., Osabutey, A. F., Park, Y. H., Lee, H., Ji, S. D., & Koh, Y. H. (2020) · Journal of Functional Foods · doi:10.1016/j.jff.2020.103886 · Cited by 19
Meditation treatment of Alzheimer disease and mild cognitive impairment
Chen, Y., Zhang, J., Zhang, T., Cao, L., You, Y., Zhang, C., Liu, X., & Zhang, Q. (2020) · Medicine · doi:10.1097/md.0000000000019313 · Cited by 18
Detection of Mild Cognitive Impairment Based on Virtual Reality: A Scoping Review
Wang, S., Yin, H., Li, G., Jia, Y., Leng, M., Meng, Q., Wang, C., & Chen, L. (2020) · Current Alzheimer Research · doi:10.2174/1567205017666200317100421 · Cited by 20
Identifying brain functional connectivity alterations during different stages of Alzheimer’s disease
Ahmadi, H., Fatemizadeh, E., & Nasrabadi, A. M. (2020) · International Journal of Neuroscience · doi:10.1080/00207454.2020.1860037 · Cited by 18
“A meta-examination of 41 ponders showed that among the people with MCI followed for a long time, on average, 38% of them had the dementia [4].”
BackgroundHori, T., Sanjo, N., Tomita, M., & Mizusawa, H. (2013) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000346738 · Cited by 18
Gordon, C. A., & Martin, D. J. (2013) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2013.856265 · Cited by 21
Diagnosing Mild Cognitive Impairment as a Precursor to Dementia: Fact or Fallacy?
Klekociuk, S. Z., Saunders, N. L., & Summers, M. J. (2016) · Australian Psychologist · doi:10.1111/ap.12178 · Cited by 21
Feng, W. G., Wang, D., Tang, L., Cheng, Y., Wang, G., Hu, G., Gong, X., Cao, X., Jiang, L., & Li, C. (2018) · Medical Science Monitor · doi:10.12659/msm.908315 · Cited by 18
Harris, P., Suarez, M. F., Surace, E. I., Méndez, P. C., Martin, M. E., Clarens, M. F., Tapajóz, F., Campos, J., Sevlever, G. E., Allegri, R., et al. (2015) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s84292 · Cited by 19
“Although rates of conversion from MCI to AD range from 5% to 23%, many individuals diagnosed with MCI remain stable or progress to a non-AD dementia.(4) Hallmark lesions of sporadic AD comprise intraneuronal inclusions of abnormally phosphorylated tau protein and extracellular deposits of amyloid-beta peptide, especia…”
BackgroundGuzmán, A., Gillanders, D., Stevenson, A., & Ross, K. (2021) · Dementia · doi:10.1177/1471301219893862 · Cited by 16
“Research evidence from a large meta-analysis of 41 studies suggests that annual progression rates are around 5% to 10% (Mitchell & Shiri-Feshki, 2009); however, many people diagnosed with MCI experience no further cognitive decline and an estimated 16% revert back to ‘normal’ cognitive functioning…”
BackgroundCounseling and disclosure practices in predictive Alzheimer's disease diagnostics: A scoping review
Perry, J., Radenbach, K., Geschke, K., & Rostamzadeh, A. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14365 · Cited by 17
Gait Speed is independently associated with Depression Symptoms in Mild Cognitive Impairment
Naharcı, M. İ., Katipoğlu, B., Veizi, B. G. Y., & Taşçı, İ. (2021) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2021.1882932 · Cited by 17
“While subjects aged 65 years or older generally develop dementia at a yearly rate of 1–2%, those with MCI have a higher risk for conversion to dementia, with a reported incidence ranging from 10 to 15% (Mitchell & Mojtaba, 2009).”
BackgroundPreexisting Mild Cognitive Impairment, Dementia, and Receipt of Treatments for Acute Ischemic Stroke
Levine, D. A., Gałecki, A. T., Morgenstern, L. B., Zahuranec, D. B., Langa, K. M., Kabeto, M. U., Okullo, D., Nallamothu, B. K., Giordani, B., Reale, B. K., et al. (2021) · Stroke · doi:10.1161/strokeaha.120.032258 · Cited by 17
“DNR status (n=768), n (%) 5 (2) 17 (7) 17 (9) 0.”
Zhu, Y., Zang, F., Wang, Q., Zhang, Q., Tan, C., Zhang, S., Hu, T., Qi, L., Xu, S., Ren, Q., et al. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113387 · Cited by 21
A Review of Acute Coronary Syndrome and its Potential Impact on Cognitive Function
Kasprzak, D., Rzeźniczak, J., Ganowicz-Kaatz, T., Łuczak, T., Słomczyński, M., Hiczkiewicz, J., & Burchardt, P. (2021) · Global Heart · doi:10.5334/gh.934 · Cited by 20
Smailović, U., Johansson, C., Koenig, T. W., Kåreholt, I., Graff, C., & Jelić, V. (2021) · Brain Sciences · doi:10.3390/brainsci11101359 · Cited by 16
“As it is known from the literature and clinical practice, a number of MCI subjects will progress to other types of dementias, including dementia with Lewy bodies (DLB), Parkinson disease dementia (PDD), and vascular dementia or remain cognitively stable over time [67,68], while a substantial proportion of clinically d…”
BackgroundPhysical inactivity in older adults with cognitive impairment without dementia: room for improvement
Miller, M. J., Cenzer, I. S., Barnes, D. E., & Covinsky, K. E. (2021) · Aging Clinical and Experimental Research · doi:10.1007/s40520-021-01999-5 · Cited by 17
Geladó, S., Gómez‐Ruiz, I., & Diéguez-Vide, F. (2021) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2021.101038 · Cited by 17
Gaussoin, S. A., Pajewski, N. M., Chelune, G. J., Cleveland, M. L., Crowe, M. G., Launer, L. J., Lerner, A. J., Martindale-Adams, J. L., Nichols, L. O., Ogrocki, P. K., et al. (2021) · Journal of the American Geriatrics Society · doi:10.1111/jgs.17583 · Cited by 17
“Study outcomes included the occurrence of adjudicated probable dementia and MCI.”
BackgroundMethodResultInfluentialDham, P., McAiney, C. A., Saperson, K., Wang, W., Malik, N., Parascandalo, F., Zhao, H., Lourenço, L., Oliver, D., Kates, N., et al. (2022) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2022.01.010 · Cited by 17
Anticholinergic Drug Burden and Risk of Incident MCI and Dementia
Gildengers, A. G., Stoehr, G. P., Ran, X., Jacobsen, E. P., Teverovsky, E., Chang, C. H., & Ganguli, M. (2023) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000538 · Cited by 17
Metadata
- Authors
- Mitchell, A. J., & Shiri‐Feshki, M.
- Affiliations
- University of Leicester (GB)
- Nottinghamshire Healthcare NHS Foundation Trust (GB)
- Corresponding author
- Mitchell, A. J.
- ORCID
- Mitchell, A. J.
- Venue
- Acta Psychiatrica Scandinavica
- Publisher
- Wiley
- Published
- 2009-03-03
- Volume
- 119
- Issue
- 4
- Pages
- 252-265
- ISSN
- 0001-690X (ISSN-L)
- 1600-0447
- OpenAlex
- W2052226124
- Cited by
- 1,659
- References
- 87
- Citations by year
- 2026: 84 · 2025: 98 · 2024: 135 · 2023: 118 · 2022: 129 · 2021: 176 · 2020: 165 · 2019: 115 · 2018: 96 · 2017: 86 · 2016: 88 · 2015: 85 · 2014: 62 · 2013: 75 · 2012: 55
- FWCI
- 5.80
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Acta Psychiatrica Scandinavica (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- mild cognitive impairment, dementia progression, Alzheimer's disease, vascular dementia, Mayo criteria
- MeSH terms
- Aged, Alzheimer Disease, Cognition Disorders, Dementia, Follow-Up Studies, Humans, Middle Aged, Neuropsychological Tests, Severity of Illness Index, Dementia, Vascular, Cohort Studies, Prevalence, Disease Progression
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