Evidence map›Paper›PMID 20625090›Full record

ArticleArchives of neurology2010

A summary risk score for the prediction of Alzheimer disease in elderly persons.

Christiane Reitz, Ming-Xin Tang, Nicole Schupf, Jennifer J Manly, Richard Mayeux, José A Luchsinger

Open access · bronzeAbstract read
In one paragraph

Article in Archives of neurology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 7 pooled it
8.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

101 citing papers in PubMed, 7 syntheses or guidelines pooled it, 200 citations in OpenAlex.

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  11. Associations of dementia polyexposure scores to Alzheimer's disease endophenotypes in a diverse population.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Christiane ReitzThe Gertrude H. Sergievsky Center, Columbia University, New York, NY 10032, USA. cr2101@columbia.edu
Ming-Xin Tang
Nicole Schupf
Jennifer J Manly
Richard Mayeux
José A Luchsinger
Manly Hospital · AUColumbia University · US

Funding

Satellite Diagnostic and Treatment Clinic CoreP50AG008702 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DE JAGER, PHILIP L · 1989 to 2019
$46.3M
The National Institute on Aging (NIA) Late Onset of Alzheimer's Disease (LOAD) Family-Based Study (FBS)U24AG056270 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gary Wayne Beecham, TATIANA M. FOROUD · 2017 to 2026
$31.4M
VASCULAR FACTORS AND MILD COGNITIVE IMPAIRMENT AND ALZHEIMER'S DISEASEP01AG007232 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MAYEUX, RICHARD P · 1989 to 2008
$21.7M
Epidemiology of Biomarkers of Risk and Progression in LOADR01AG037212 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P, SCHUPF, NICOLE · 2010 to 2015
$10.1M
Epidemiology of Familial Late-Onset Alzheimer's DiseaseR01AG041797 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P · 2012 to 2016
$4.2M
Mapping Causative factors in the sortilin-related pathway in Alzheimer's DiseaseK23AG034550 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REITZ, CHRISTIANE · 2009 to 2013
$479k
NIA NIH HHS 1K23AG034550NIA NIH HHS AG07232NIA NIH HHS AG07702NIA NIH HHS K23 AG034550NIA NIH HHS P01 AG007232NIA NIH HHS P50 AG008702NIA NIH HHS R01 AG037212NIA NIH HHS R01 AG041797NIA NIH HHS U24 AG056270
6 · The paper itself

Abstract

objectiveTo develop a simple summary risk score for the prediction of Alzheimer disease in elderly persons based on their vascular risk profiles.

designA longitudinal, community-based study.

settingNew York, New York. Patients One thousand fifty-one Medicare recipients aged 65 years or older and residing in New York who were free of dementia or cognitive impairment at baseline.

main outcome measuresWe separately explored the associations of several vascular risk factors with late-onset Alzheimer disease (LOAD) using Cox proportional hazards models to identify factors that would contribute to the risk score. Then we estimated the score values of each factor based on their beta coefficients and created the LOAD vascular risk score by summing these individual scores.

resultsRisk factors contributing to the risk score were age, sex, education, ethnicity, APOE epsilon4 genotype, history of diabetes, hypertension or smoking, high-density lipoprotein levels, and waist to hip ratio. The resulting risk score predicted dementia well. According to the vascular risk score quintiles, the risk to develop probable LOAD was 1.0 for persons with a score of 0 to 14 and increased 3.7-fold for persons with a score of 15 to 18, 3.6-fold for persons with a score of 19 to 22, 12.6-fold for persons with a score of 23 to 28, and 20.5-fold for persons with a score higher than 28.

conclusionsWhile additional studies in other populations are needed to validate and further develop the score, our study suggests that this vascular risk score could be a valuable tool to identify elderly individuals who might be at risk of LOAD. This risk score could be used to identify persons at risk of LOAD, but can also be used to adjust for confounders in epidemiologic studies.

Indexed as

Geriatric AssessmentAgedAged, 80 and overAge FactorsAlzheimer DiseaseApolipoprotein E4Diabetes MellitusFemaleHumansHypertensionLongitudinal StudiesMaleNeuropsychological TestsNew York CityPredictive Value of TestsProportional Hazards ModelsApolipoprotein E4

Identifiers

PMID20625090
PMCPMC3068839
OpenAlexW2142160461

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.