Operationalizing diagnostic criteria for Alzheimer's disease and other age‐related cognitive impairment—Part 2
Open accessAbstract
This article focuses on the effects of operational differences in case ascertainment on estimates of prevalence and incidence of cognitive impairment and/or dementia of the Alzheimer type. Experience and insights are discussed by investigators from the Framingham Heart Study, the East Boston Senior Health Project, the Chicago Health and Aging Project, the Mayo Clinic Study of Aging, the Baltimore Longitudinal Study of Aging, and the Aging, Demographics, and Memory Study. There is a general consensus that the single most important factor determining prevalence estimates of Alzheimer's disease (AD) is the severity of cognitive impairment used as a threshold to define cases. Studies that require a level of cognitive impairment in which persons are unable to provide self‐care will have much lower estimates than the studies aimed at identifying persons in the earliest stages of AD. There are limited autopsy data from the aforementioned epidemiological studies to address accuracy in the diagnosis of etiological subtype, namely the specification of AD alone or in combination with other types of pathology. However, other community‐based cohort studies show that many persons with mild cognitive impairment and also some persons without dementia or mild cognitive impairment meet pathological criteria for AD, thereby suggesting that the number of persons who would benefit from an effective secondary prevention intervention is probably higher than the published prevalence estimates. Improved accuracy in the clinical diagnosis of AD is anticipated with the addition of molecular and structural biomarkers in the next generation of epidemiological studies.
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The incidence of dementia increases continually up to and above 90 years of age.
“The incidence of dementia increases continually up to (179-183) and above (139, 184) 90 years of age.”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [139]
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Genetic Interaction with Plasma Lipids on Alzheimer’s Disease in the Framingham Heart Study
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Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review
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Patterns of Aging Changes in Bodyweight May Predict Alzheimer’s Disease
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The tomography dementia rating scale (TDR)—The rating scale of Alzheimer’s disease stages
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Vascular Risk Factors and Their Relationship to Brain Aging
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Study cognitive function in the elderly by testing rapid assessment of cognitive functions (ERFC)
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Implications of a New Diagnostic Blood Test for Alzheimer’s Disease On Future Disease Management
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Dementia Incidence in Individuals With Parkinson's Disease in the Framingham Heart Study
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Self-citationEpigenetic Age and Resilience in the Framingham Heart Study
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Self-citation
- Authors
- Seshadri, S., Beiser, A., Au, R., Wolf, P. A., Evans, D. A., Wilson, R. S., Petersen, R. C., Knopman, D. S., Rocca, W. A., Kawas, C. H., Corrada, M. M., Plassman, B. L., Langa, K. M., & Chui, H. C.
- Affiliations
- Boston University (US)
- Rush University Medical Center (US)
- Mayo Clinic (US)
- University of California, Irvine (US)
- Department of Neurology University of California Irvine CA USA
- Duke Medical Center (US)
- University of Michigan (US)
- University of Southern California (US)
- Corresponding author
- Seshadri, Sudha
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2011-01
- Volume
- 7
- Issue
- 1
- Pages
- 35-52
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC3039838
- OpenAlex
- W1991166997
- Cited by
- 97
- References
- 85
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 4 · 2023: 6 · 2022: 6 · 2021: 2 · 2020: 7 · 2019: 7 · 2018: 1 · 2017: 7 · 2016: 10 · 2015: 3 · 2014: 6 · 2013: 6 · 2012: 12
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Heart, Lung, and Blood Institute (N01HC25195)
- National Institute of Neurological Disorders and Stroke (R01NS17950)
- National Institute on Aging (R01AG16495, R01AG08122, R01AG033193, R01AG031287, R01AG033040, N01AG12106, N01AG02107, R01AG011101, U01AG06786, P50AG016574, R01AG034676, R01AG008325, R01AG021055, U01AG009740, P01AG012435, P50AG005142)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- Alzheimer's disease, mild cognitive impairment
- MeSH terms
- Age Factors, Aging, Alzheimer Disease, Cognition Disorders, Humans, Longitudinal Studies, Neuropsychological Tests, United States, Incidence, Prevalence, Community Health Planning
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.
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