ArticleJAMA network open2023
Estimating Dementia Risk Using Multifactorial Prediction Models.
Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Discriminative performance of externally validated dementia risk prediction models: a systematic review and meta-analysis.BMC medicine · 2026Pooled it
- A critical review and classification of dementia risk assessment tools to inform dementia risk reduction.The journal of prevention of Alzheimer's disease · 2025Pooled it
- Risk Factors Measured Around Age 60 as Predictors of Dementia Around Age 80 in the U.S.AJE advances : research in epidemiology · 2026Article
- A Flexible-Horizon Clinical Decision Support Model for Dementia Early Detection and Risk Prediction in Secondary Care: A Responsible AI Approach.Journal of medical systems · 2026Article
- Towards a Multidimensional Model of Neurocognitive Disorders (MOND Model): Integrating Evidence from a Critical Review into a Model for Future Research.Journal of personalized medicine · 2026Review
- Alzheimer's disease risk prediction from clinical and social determinants of health: a machine learning cohort study in UK Biobank.BMJ health & care informatics · 2026Article
- Determinants of Dementia Risk Score in Primary Care: Knowledge Level, Social Factors, and Health Behaviours.Journal of prevention (2022) · 2026Article
- Mild cognitive impairment cases affect the predictive power of Alzheimer's disease diagnostic models using routine clinical variables.npj aging · 2026Article
- Predicting cognitive decline: Comparative analysis of ANU-ADRI, CAIDE, CogDrisk, LIBRA, LIBRA2, UKBDRS and Lancet based dementia risk scores in the HUNT study.The journal of prevention of Alzheimer's disease · 2026Article
- Development and validation of the LateDem-Risk score to predict dementia incidence in the InveCe.Ab and Trelong Italian cohorts.Scientific reports · 2026Article
- The CAIDE dementia risk score indicates elevated cognitive risk in late adulthood: a structural and functional neuroimaging study.GeroScience · 2026Article
- Dementia risk prediction in individuals with prediabetes or diabetes: A novel multi-protein score with biological pathway analysis.General psychiatry · 2026Article
- Prediction of Episodic Memory With Multiomics Scores.Biological psychiatry global open science · 2026Article
- Toward personalized medicine in AD/ADRD through genetic-exposome dementia risk assessments.NPJ dementia · 2026Review
- Assessment of dementia risk scores in predicting mild cognitive impairment: A comparison of CogDrisk, CAIDE, LIBRA, and ANU-ADRI.The journal of prevention of Alzheimer's disease · 2025Article
- Dementia risk prediction: A comparative analysis of the ANU-ADRI, CAIDE, CogDrisk, LIBRA, and LIBRA2 indices in the HUNT study.The journal of prevention of Alzheimer's disease · 2025Article
- Latent Profiles Based on Combined Risk Factors for Cognitive Decline in European Older Adults: A Retrospective Study Based on the SHARE HCAP Project.Neurology international · 2025Article
- Development of a midlife-specific CogDrisk algorithm (CogDrisk-ML) to enable validated implementation of dementia risk assessment from midlife to late life.Age and ageing · 2025Article
- Association of Body Mass Index in Late Life, and Change from Midlife to Late Life, With Incident Dementia in the ARIC Study Participants.Neurology · 2025Observational
- Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia.Translational psychiatry · 2025Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 4 countries.
Funding
Abstract
Importance: The clinical value of current multifactorial algorithms for individualized assessment of dementia risk remains unclear. Objective: To evaluate the clinical value associated with 4 widely used dementia risk scores in estimating 10-year dementia risk. Design, Setting, and Participants: This prospective population-based UK Biobank cohort study assessed 4 dementia risk scores at baseline (2006-2010) and ascertained incident dementia during the following 10 years. Replication with a 20-year follow-up was based on the British Whitehall II study. For both analyses, participants who had no dementia at baseline, had complete data on at least 1 dementia risk score, and were linked to electronic health records from hospitalizations or mortality were included. Data analysis was conducted from July 5, 2022, to April 20, 2023. Exposures: Four existing dementia risk scores: the Cardiovascular Risk Factors, Aging and Dementia (CAIDE)-Clinical score, the CAIDE-APOE-supplemented score, the Brief Dementia Screening Indicator (BDSI), and the Australian National University Alzheimer Disease Risk Index (ANU-ADRI). Main Outcomes and Measures: Dementia was ascertained from linked electronic health records. To evaluate how well each score predicted the 10-year risk of dementia, concordance (C) statistics, detection rate, false-positive rate, and the ratio of true to false positives were calculated for each risk score and for a model including age alone. Results: Of 465 929 UK Biobank participants without dementia at baseline (mean [SD] age, 56.5 [8.1] years; range, 38-73 years; 252 778 [54.3%] female participants), 3421 were diagnosed with dementia at follow-up (7.5 per 10 000 person-years). If the threshold for a positive test result was calibrated to achieve a 5% false-positive rate, all 4 risk scores detected 9% to 16% of incident dementia and therefore missed 84% to 91% (failure rate). The corresponding failure rate was 84% for a model that included age only. For a positive test result calibrated to detect at least half of future incident dementia, the ratio of true to false positives ranged between 1 to 66 (for CAIDE-APOE-supplemented) and 1 to 116 (for ANU-ADRI). For age alone, the ratio was 1 to 43. The C statistic was 0.66 (95% CI, 0.65-0.67) for the CAIDE clinical version, 0.73 (95% CI, 0.72-0.73) for the CAIDE-APOE-supplemented, 0.68 (95% CI, 0.67-0.69) for BDSI, 0.59 (95% CI, 0.58-0.60) for ANU-ADRI, and 0.79 (95% CI, 0.79-0.80) for age alone. Similar C statistics were seen for 20-year dementia risk in the Whitehall II study cohort, which included 4865 participants (mean [SD] age, 54.9 [5.9] years; 1342 [27.6%] female participants). In a subgroup analysis of same-aged participants aged 65 (±1) years, discriminatory capacity of risk scores was low (C statistics between 0.52 and 0.60). Conclusions and Relevance: In these cohort studies, individualized assessments of dementia risk using existing risk prediction scores had high error rates. These findings suggest that the scores were of limited value in targeting people for dementia prevention. Further research is needed to develop more accurate algorithms for estimation of dementia risk.
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