External Validation of Dementia Risk Prediction Models: Towards evidence‐based implementation
With further real-world testing, dementia risk prediction models that demonstrate reasonable external validity could be implemented in clinical settings to support early risk identification and preventative planning. Moving forward, research should evaluate the clinical impact and cost-effectiveness of dementia risk screening, particularly in diverse populations and low/middle-income countries, to optimize early detection and prevention efforts.
Authors
- Jacob Brain (ORCID: https://orcid.org/0000-0003-3640-3226)
- Jennifer Dunne (ORCID: https://orcid.org/0000-0002-1001-732X)
- Elissa Burton (ORCID: https://orcid.org/0000-0001-6470-8305)
- Serena Sabatini (ORCID: https://orcid.org/0000-0002-3618-6949)
- Kaarin Jane Anstey (ORCID: https://orcid.org/0000-0002-9706-9316)
- Eugene Tang (ORCID: https://orcid.org/0000-0003-1030-9311)
- Claire V. Burley (ORCID: https://orcid.org/0000-0002-7632-5632)
- BRONWYN J. MYERS (ORCID: https://orcid.org/0000-0003-0235-6716)
- Blossom C.M. Stephan
- Mario Siervo
- Tanya Buchanan
- William Stephan
Institutions
- South African Medical Research Council (ZA)
- University of Nottingham (GB)
- University of Cape Town (ZA)
- Curtin University (AU)
- University of Surrey (GB)
- UNSW Sydney (AU)
- Dementia Collaborative Research Centres (AU)
- ChemCentre (AU)
- The University of Adelaide (AU)
- Universitat de Barcelona (ES)
- Newcastle University (GB)
- University of the Western Cape (ZA)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70860_101969
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00