Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 219

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Predicting risk of dementia in older adults: The late-life dementia risk index

Open access
Barnes, D. E., Covinsky, K. E., Whitmer, R. A., Kuller, L. H., Lopez, O. L., Yaffe, K.·2009·Neurology

Abstract

OBJECTIVE: To develop a late-life dementia risk index that can accurately stratify older adults into those with a low, moderate, or high risk of developing dementia within 6 years. METHODS: Subjects were 3,375 participants in the Cardiovascular Health Cognition Study without evidence of dementia at baseline. We used logistic regression to identify those factors most predictive of developing incident dementia within 6 years and developed a point system based on the logistic regression coefficients. RESULTS: Subjects had a mean age of 76 years at baseline; 59% were women and 15% were African American. Fourteen percent (n = 480) developed dementia within 6 years. The final late-life dementia risk index included older age (1-2 points), poor cognitive test performance (2-4 points), body mass index <18.5 (2 points), > or =1 apolipoprotein E epsilon4 alleles (1 point), cerebral MRI findings of white matter disease (1 point) or ventricular enlargement (1 point), internal carotid artery thickening on ultrasound (1 point), history of bypass surgery (1 point), slow physical performance (1 point), and lack of alcohol consumption (1 point) (c statistic, 0.81; 95% confidence interval, 0.79-0.83). Four percent of subjects with low scores developed dementia over 6 years compared with 23% of subjects with moderate scores and 56% of subjects with high scores. CONCLUSIONS: The late-life dementia risk index accurately stratified older adults into those with low, moderate, and high risk of developing dementia. This tool could be used in clinical or research settings to target prevention and intervention strategies toward high-risk individuals.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1212/wnl.0b013e3181a81636

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 6 references

Research works printed but not linked: 25

  1. 10.1093/jnci/djm223 · DOI · Paper page
  2. 10.2337/dc06-2089 · DOI · Paper page
  3. 10.1001/jama.295.7.801 · DOI · Paper page
  4. 10.1001/jama.285.23.2987 · DOI · Paper page
  5. 10.1016/S1474-4422(06)70537-3 · DOI · Paper page
  6. 10.1159/000067109 · DOI · Paper page
  7. 10.1159/000067110 · DOI · Paper page
  8. 10.1111/j.1532-5415.2004.52058.x · DOI · Paper page
  9. Teng EL, Chui HC. The Modified Mini-Mental State (3MS) examination. J Clin Psychiatry 1987;48:314–318.
  10. 10.1002/1097-4679(198601)42:1<28::AID-JCLP2270420104>3.0.CO;2-T · DOI · Paper page
  11. Wells JA. Chronic life situations and life change events. In: Measuring Psychological Values in Epidemiologic Studies of Cardiovascular Disease: Proceedings of a Workshop; 1985: US Department of Health and Human Services NIH Publication No. 85-2770. 1985. · DOI
  12. Lubben JE. Assessing social networks among elderly populations. J Health Promo Maint 1988;11:42–52.
  13. Heitsmann CA, Kaplan RM. Assessment of methods for measuring social support. Health Psychol 1988;7:75–109.
  14. Bryan RN, Manolio TA, Schertz LD, et al. A method for using MR to evaluate the effects of cardiovascular disease on the brain: the cardiovascular health study. AJNR Am J Neuroradiol 1994;15:1625–1633.
  15. 10.1161/01.STR.23.12.1752 · DOI · Paper page
  16. 10.1016/S0140-6736(05)67889-0 · DOI · Paper page
  17. 10.1212/01.WNL.0000147470.58328.50 · DOI · Paper page
  18. 10.1212/01.WNL.0000163773.21794.0B · DOI · Paper page
  19. 10.1016/j.jns.2004.09.005 · DOI
  20. 10.1212/01.wnl.0000172914.08967.dc · DOI · Paper page
  21. 10.1111/j.1532-5415.2007.01458.x · DOI · Paper page
  22. 10.1001/archneur.62.1.55 · DOI · Paper page
  23. 10.1111/j.1532-5415.2004.52159.x · DOI · Paper page
  24. 10.1017/S1092852900022409 · DOI
  25. 10.1016/j.athoracsur.2007.06.054 · DOI

Cited by

See all 219

Metadata

Authors
Barnes, D. E., Covinsky, K. E., Whitmer, R. A., Kuller, L. H., Lopez, O. L., & Yaffe, K.
Venue
Neurology
Published
2009-07-21
Volume
73
Issue
3
Pages
173-179
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
OpenAlex
W2126579393
Cited by
219
References
6
FWCI
9.60
Type
journal article
Language
en
Open access
bronze

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Predicting risk of dementia in older adults: The late-life dementia risk index. https://app.cochat.ai/papers/10.1212/wnl.0b013e3181a81636
The paper
Barnes, D. E., Covinsky, K. E., Whitmer, R. A., Kuller, L. H., Lopez, O. L., & Yaffe, K. (2009). Predicting risk of dementia in older adults: The late-life dementia risk index. Neurology. https://doi.org/10.1212/wnl.0b013e3181a81636

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.