Evidence map›Paper›PMID 40903313›Full record

SynthesisThe journal of prevention of Alzheimer's disease2025

A critical review and classification of dementia risk assessment tools to inform dementia risk reduction.

Md Hamidul Huque, Ranmalee Eramudugolla, Meiwei Li, Kim M Kiely, Ruth Peters, Kaarin J Anstey

Abstract readSystematic Review
In one paragraph

Synthesis in The journal of prevention of Alzheimer's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. 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
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

6 authors.

Md Hamidul HuqueSchool of Psychology, University of New South Wales, High St, Kensington, NSW 2052, Australia; Neuroscience Research Australia, 139 Barker St, Randwick, NSW 2031, Australia; UNSW Ageing Futures Institute, University of NSW, High St, Kensington, NSW 2052, Australia.
Ranmalee EramudugollaSchool of Psychology, University of New South Wales, High St, Kensington, NSW 2052, Australia; Neuroscience Research Australia, 139 Barker St, Randwick, NSW 2031, Australia; UNSW Ageing Futures Institute, University of NSW, High St, Kensington, NSW 2052, Australia.
Meiwei LiSchool of Psychology, University of New South Wales, High St, Kensington, NSW 2052, Australia; Neuroscience Research Australia, 139 Barker St, Randwick, NSW 2031, Australia.
Kim M KielySchool of Mathematics and Applied Statistics, and, School of Social Sciences, University of Wollongong, Northfields Ave, Wollongong NSW 2500, Australia.
Ruth PetersUNSW Ageing Futures Institute, University of NSW, High St, Kensington, NSW 2052, Australia; School of Public Health, University of New South Wales, High St, Kensington, NSW 2052, Australia; The George Institute of Global Health, 300 Barangaroo Ave, Barangaroo NSW 2000, Australia.
Kaarin J AnsteySchool of Psychology, University of New South Wales, High St, Kensington, NSW 2052, Australia; Neuroscience Research Australia, 139 Barker St, Randwick, NSW 2031, Australia; UNSW Ageing Futures Institute, University of NSW, High St, Kensington, NSW 2052, Australia. Electronic address: k.anstey@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addressing modifiable dementia risk factors requires reliable risk assessment methods. We aimed to synthesise knowledge on risk scores for all cause dementia, Alzheimer's disease (AD) and vascular dementia, classify them according to target population, evaluate their content, cost, appropriateness of validation studies, and suitability for implementing risk reduction guidelines. A systematic search was conducted of PubMed, Cochrane Collaboration, ProQuest, Scopus, Embase, and PsycINFO databases using a pre-registered protocol. Data on risk factors, target population, predictive validity, cost, and alignment with WHO guidelines were extracted. Random-effects meta-analysis was performed. Of 45 risk scores identified, 29 were for all-cause dementia, including 11 based on late-life cohorts, 6 on midlife, and 7 covering mid to late-life. The pooled C-statistic across development and validation studies of dementia risk scores was 0.69 (95 % CI: 0.67, 0.71). Development study AUCs were higher than validation study AUCs and dropped from 0.74 to 0.66 for risk scores developed for clinical samples and from 0.79 to 0.71 for AD specific scores (which include functional indicators non-independent of disease). There were no validated risk scores for vascular dementia. Dem-NCD, CogDrisk, ANU-ADRI and LIBRA risk scores incorporated most WHO-recommended risk factors and demonstrated accuracy comparable to the overall pooled C-statistic. We conclude that across the field, there are methodological limitations relating to validation, and inappropriate comparison of tools designed for different purposes or target populations. However, there are now several validated, risk scores for all-cause dementia and AD that assess modifiable factors and offer cost-effective dementia risk assessment and risk reduction advice.

Indexed as

DementiaRisk Reduction BehaviorAlzheimer DiseaseDementia, VascularHumansRisk AssessmentRisk FactorsDementia riskMeta-analysisPredictionPrevention

Identifiers

PMID40903313
PMCPMC12501348

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.