Evidence map›Paper›PMID 24465922›Full record

ArticlePloS one2014

A self-report risk index to predict occurrence of dementia in three independent cohorts of older adults: the ANU-ADRI.

Kaarin J Anstey, Nicolas Cherbuin, Pushpani M Herath, Chengxuan Qiu, Lewis H Kuller, Oscar L Lopez, Robert S Wilson, Laura Fratiglioni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 8 pooled it
–field-weighted citation impact
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

105 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  3. Umbrella review and Delphi study on modifiable factors for dementia risk reduction.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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  20. Prediction of Episodic Memory With Multiomics Scores.Biological psychiatry global open science · 2026
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45 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kaarin J AnsteyCentre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia.
Nicolas CherbuinCentre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia.
Pushpani M HerathCentre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia.
Chengxuan QiuAging Research Center, Karolinska Institutet-Stockholm University, Stockholm, Sweden.
Lewis H KullerDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Oscar L LopezDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Robert S WilsonRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America.
Laura FratiglioniAging Research Center, Karolinska Institutet-Stockholm University, Stockholm, Sweden ; Stockholm Gerontology Research Center, Stockholm, Sweden.

Funding

EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
NIA NIH HHS R01 AG017917
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe Australian National University AD Risk Index (ANU-ADRI, http://anuadri.anu.edu.au) is a self-report risk index developed using an evidence-based medicine approach to measure risk of Alzheimer's disease (AD). We aimed to evaluate the extent to which the ANU-ADRI can predict the risk of AD in older adults and to compare the ANU-ADRI to the dementia risk index developed from the Cardiovascular Risk Factors, Aging and Dementia (CAIDE) study for middle-aged cohorts.

methodsThis study included three validation cohorts, i.e., the Rush Memory and Aging Study (MAP) (n = 903, age ≥53 years), the Kungsholmen Project (KP) (n = 905, age ≥75 years), and the Cardiovascular Health Cognition Study (CVHS) (n = 2496, age ≥65 years) that were each followed for dementia. Baseline data were collected on exposure to the 15 risk factors included in the ANU-ADRI of which MAP had 10, KP had 8 and CVHS had 9. Risk scores and C-statistics were computed for individual participants for the ANU-ADRI and the CAIDE index.

resultsFor the ANU-ADRI using available data, the MAP study c-statistic was 0·637 (95% CI 0·596-0·678), for the KP study it was 0·740 (0·712-0·768) and for the CVHS it was 0·733 (0·691-0·776) for predicting AD. When a common set of risk and protective factors were used c-statistics were 0.689 (95% CI 0.650-0.727), 0.666 (0.628-0.704) and 0.734 (0.707-0.761) for MAP, KP and CVHS respectively. Results for CAIDE ranged from c-statistics of 0.488 (0.427-0.554) to 0.595 (0.565-0.625).

conclusionA composite risk score derived from the ANU-ADRI weights including 8-10 risk or protective factors is a valid, self-report tool to identify those at risk of AD and dementia. The accuracy can be further improved in studies including more risk factors and younger cohorts with long-term follow-up.

Indexed as

Self ReportAdultAgedAged, 80 and overAlzheimer DiseaseDementiaFemaleHumansIncidenceMaleMiddle AgedRiskROC Curve

Identifiers

PMID24465922
PMCPMC3900468

What OpenQuestion holds

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Registered trials

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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.