Evidence map›Paper›PMID 37603383›Full record

ArticleBMJ mental health2023

Development and validation of a dementia risk score in the UK Biobank and Whitehall II cohorts.

Melis Anatürk, Raihaan Patel, Klaus P Ebmeier, Georgios Georgiopoulos, Danielle Newby, Anya Topiwala, Ann-Marie G de Lange, James H Cole, Michelle G Jansen, Archana Singh-Manoux and 2 more

Abstract read
In one paragraph

Article in BMJ mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Predicting Dementia Risk: Progress, Pitfalls, and Priorities.International journal of public health · 2026
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  20. Suggestions for the decision making in subjective cognitive complaints.Aging clinical and experimental research · 2025
    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

12 authors.

Melis AnatürkCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Raihaan PatelDepartment of Psychiatry, University of Oxford, Oxford, UK mohammed.patel@psych.ox.ac.uk.ORCID 0000-0003-3459-0013
Klaus P EbmeierDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID 0000-0002-5190-7038
Georgios GeorgiopoulosSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Danielle NewbyDepartment of Psychiatry, University of Oxford, Oxford, UK.
Anya TopiwalaDepartment of Psychiatry, University of Oxford, Oxford, UK.
Ann-Marie G de LangeDepartment of Psychiatry, University of Oxford, Oxford, UK.
James H ColeCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Michelle G JansenDonders Centre for Cognition, Donders Institute for Brain, Cognition and Behaviour, Radboud Universiteit, Nijmegen, The Netherlands.
Archana Singh-ManouxInserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Université Paris Cité, Paris, France.
Mika KivimäkiFaculty of Brain Sciences, University College London, London, UK.
Sana SuriDepartment of Psychiatry, University of Oxford, Oxford, UK.

Funding

Education, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8M
Role of mid- and late-life risk factors in social inequalities in Alzheimer's Disease and Related DementiasRF1AG062553 · NIA · INSERM PARIS 5 · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2019 to 2019
$1.5M
British Heart Foundation RG/13/2/30098Medical Research Council G1001354Medical Research Council MR/K013351/1Medical Research Council MR/L023784/1Medical Research Council MR/R024227/1Medical Research Council MR/R024790/1Medical Research Council MR/S011676/1NIA NIH HHS R01 AG056477NIA NIH HHS RF1 AG062553Wellcome Trust
6 · The paper itself

Abstract

backgroundCurrent dementia risk scores have had limited success in consistently identifying at-risk individuals across different ages and geographical locations.

objectiveWe aimed to develop and validate a novel dementia risk score for a midlife UK population, using two cohorts: the UK Biobank, and UK Whitehall II study.

methodsWe divided the UK Biobank cohort into a training (n=176 611, 80%) and test sample (n=44 151, 20%) and used the Whitehall II cohort (n=2934) for external validation. We used the Cox LASSO regression to select the strongest predictors of incident dementia from 28 candidate predictors and then developed the risk score using competing risk regression.

findingsOur risk score, termed the UK Biobank Dementia Risk Score (UKBDRS), consisted of age, education, parental history of dementia, material deprivation, a history of diabetes, stroke, depression, hypertension, high cholesterol, household occupancy, and sex. The score had a strong discrimination accuracy in the UK Biobank test sample (area under the curve (AUC) 0.8, 95% CI 0.78 to 0.82) and in the Whitehall cohort (AUC 0.77, 95% CI 0.72 to 0.81). The UKBDRS also significantly outperformed three other widely used dementia risk scores originally developed in cohorts in Australia (the Australian National University Alzheimer's Disease Risk Index), Finland (the Cardiovascular Risk Factors, Ageing, and Dementia score), and the UK (Dementia Risk Score). CLINICAL IMPLICATIONS: Our risk score represents an easy-to-use tool to identify individuals at risk for dementia in the UK. Further research is required to determine the validity of this score in other populations.

Indexed as

Biological Specimen BanksDementiaAustraliaHumansRisk FactorsUnited KingdomAdult psychiatryDelirium & cognitive disordersPSYCHIATRY

Identifiers

PMID37603383
PMCPMC10577770

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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.