Mild cognitive impairment: Disparity of incidence and prevalence estimates
Abstract
Background: The purpose of conducting this study was to identify areas of concordance and sources of variation for the published rates of prevalence and incidence associated with various definitions for mild cognitive impairment (MCI). Methods: The study used systematic review of studies published in English since 1984. Studies were identified by searching MEDLINE and EMBASE databases. Population‐based observational studies of incidence or prevalence of MCI and related terms were eligible for inclusion. Results: A total of 3,705 citations were identified, and 42 were accepted for inclusion; 35 included data on prevalence and 13 on incidence. The following four terms predominated: age‐associated memory impairment (AAMI); cognitive impairment no dementia (CIND); MCI; and amnestic MCI (aMCI). Within each term, the operational definition varied. Substantial variation was observed for both incidence (MCI: 21.5–71.3; aMCI: 8.5–25.9 per 1,000 person‐years) and prevalence of each definition of cognitive impairment (AAMI 3.6%–38.4%; CIND 5.1%–35.9%; MCI 3%–42%; aMCI 0.5%–31.9%). CIND and MCI showed increasing prevalence among older age groups, whereas age‐specific rates of aMCI were lower and without any apparent age relationship. Conclusions: Prevalence and incidence estimates associated with MCI vary greatly both between definitions and within a definition across the 42 publications. These wide differences pose a significant challenge to our understanding of the social burden of this disease. Enhancement and standardization of operational definitions of the subtypes of cognitive impairment could improve estimates of disease burden and provide a mechanism to assist in the identification of individuals at risk for future Alzheimer's disease and other dementias.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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 percentage of older adults classified as MCI ranges greatly from 11% to 74% depending on the number of tests considered in the diagnosis and the cutoffs used to define objective cognitive impairment.
“Jak and Bondi and colleagues [24, 25] have found that the percentage of older adults classified as MCI ranges greatly from 11% to 74% depending on the number of tests considered in the diagnosis and the cutoffs used to define objective cognitive impairment (see also [26]).”
From Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) · cites this paper as [26]
Cites
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980 · see citing works
Cerebrospinal fluid and plasma biomarkers in Alzheimer disease
Blennow, K., Hampel, H., Weiner, M., & Zetterberg, H. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.4 · Cited by 1,863 · see citing works
Mild Cognitive Impairment: Ten Years Later
Petersen, R. C., Roberts, R. O., Knopman, D. S., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Smith, G. E., & Jack, C. R. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.266 · Cited by 1,447 · see citing works
Manly, J. J., Bell-McGinty, S., Tang, M.-X., Schupf, N., Stern, Y., & Mayeux, R. (2005) · Archives of Neurology · doi:10.1001/archneur.62.11.1739 · Cited by 266 · see citing works
Mild Cognitive Impairment: Epidemiology and Dementia Risk in an Elderly Italian Population
Ravaglia, G., Forti, P., Montesi, F., Lucicesare, A., Pisacane, N., Rietti, E., Dalmonte, E., Bianchin, M., & Mecocci, P. (2008) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2007.01503.x · Cited by 173 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Mild cognitive impairment: a concept in evolution
Petersen, R. C., Caracciolo, B., Brayne, C., Gauthier, S., Jelic, V., & Fratiglioni, L. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12190 · Cited by 1,694 · see citing works
Hierarchical Feature Representation and Multimodal Fusion with Deep Learning for AD/MCI Diagnosis
Suk, H.-I., Lee, S.-W., & Shen, D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.077 · Cited by 968 · see citing works
Bondi, M. W., Initiative, F. T. A. D. N., Edmonds, E. C., Jak, A. J., Clark, L. R., Delano-Wood, L., McDonald, C. R., Nation, D. A., Libon, D. J., Au, R., et al. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-140276 · Cited by 750 · see citing works
Motoric cognitive risk syndrome and the risk of dementia
Verghese, J., Wang, C., Lipton, R. B., & Holtzer, R. (2013) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/gls191 · Cited by 597 · see citing works
Sachdev, P. S., Lipnicki, D. M., Kochan, N. A., Crawford, J. D., Thalamuthu, A., Andrews, G., Brayne, C., Matthews, F. E., Stephan, B. C. M., Lipton, R. B., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0142388 · Cited by 380 · see citing works
Kuiper, J. S., Zuidersma, M., Zuidema, S. U., Burgerhof, J. G. M., Stolk, R. P., Oude Voshaar, R. C., & Smidt, N. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw089 · Cited by 301 · see citing works
Mossello, E., Pieraccioli, M., Nesti, N., Bulgaresi, M., Lorenzi, C., Caleri, V., Tonon, E., Cavallini, M. C., Baroncini, C., Di Bari, M., et al. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.8164 · Cited by 247 · see citing works
Cheng, Y.-W., Chen, T.-F., & Chiu, M.-J. (2017) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s123428 · Cited by 150 · see citing works
Social Isolation and Cognitive Function in Appalachian Older Adults
DiNapoli, E. A., Wu, B., & Scogin, F. (2014) · Research on Aging · doi:10.1177/0164027512470704 · Cited by 126 · see citing works
A critical review of chronic traumatic encephalopathy
Iverson, G. L., Gardner, A. J., McCrory, P., Zafonte, R., & Castellani, R. J. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.05.008 · Cited by 103 · see citing works
Leveraging technology to personalize cognitive enhancement methods in aging
Ziegler, D. A., Anguera, J. A., Gallen, C. L., Hsu, W.-Y., Wais, P. E., & Gazzaley, A. (2022) · Nature Aging · doi:10.1038/s43587-022-00237-5 · Cited by 50 · see citing works
Secondhand Smoke and Women's Cognitive Function in China
Pan, X., Luo, Y., & Roberts, A. R. (2018) · American Journal of Epidemiology · doi:10.1093/aje/kwx377 · Cited by 46 · see citing works
Martin, P., & Tannenbaum, C. (2017) · BMC Geriatrics · doi:10.1186/s12877-017-0432-5 · Cited by 41 · see citing works
Kröger, E., Tatar, O., Vedel, I., Giguère, A. M. C., Voyer, P., Guillaumie, L., Grégoire, J.-P., & Guénette, L. (2017) · International Journal of Clinical Pharmacy · doi:10.1007/s11096-017-0487-6 · Cited by 23 · see citing works
Qian, Y., Chen, X., Tang, D., Kelley, A. S., & Li, J. (2021) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glab043 · Cited by 23 · see citing works
Pilot Testing a Couples-Focused Intervention for Mild Cognitive Impairment
Lu, Y. Y.-F., Haase, J. E., & Weaver, M. (2013) · Journal of Gerontological Nursing · doi:10.3928/00989134-20130403-01 · Cited by 11 · see citing works
- Authors
- Ward, A., Arrighi, H. M., Michels, S., & Cedarbaum, J. M.
- Affiliations
- United BioSource Corporation, Center for Epidemiology and Database Analytics Lexington MA USA
- Elan Pharmaceuticals Inc South San Francisco CA USA
- Corresponding author
- Ward, Alex
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2012-01
- Volume
- 8
- Issue
- 1
- Pages
- 14-21
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W2071639119
- Cited by
- 569
- References
- 5
- Citations by year
- 2026: 22 · 2025: 25 · 2024: 31 · 2023: 39 · 2022: 51 · 2021: 56 · 2020: 70 · 2019: 40 · 2018: 22 · 2017: 34 · 2016: 46 · 2015: 43 · 2014: 42 · 2013: 37 · 2012: 10
- FWCI
- 5.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Elan Pharmaceuticals, Inc
- JANSSEN Alzheimer Immunotherapy acquired the Alzheimer Immunotherapy Program
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hearing Loss and Rehabilitation
- Keywords
- mild cognitive impairment, prevalence
- MeSH terms
- Humans, Incidence, Prevalence, Databases, Bibliographic, Cognitive Dysfunction
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