ArticleAge and ageing2022
Validity of three risk prediction models for dementia or cognitive impairment in Australia.
Article in Age and ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Predictive models of Alzheimer's disease dementia risk in older adults with mild cognitive impairment: a systematic review and critical appraisal.BMC geriatrics · 2024Pooled it
- Associations of dementia polyexposure scores to Alzheimer's disease endophenotypes in a diverse population.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- The CAIDE dementia risk score indicates elevated cognitive risk in late adulthood: a structural and functional neuroimaging study.GeroScience · 2026Article
- Associations of dementia polyexposure scores to Alzheimer's disease endophenotypes in diverse populations.medRxiv : the preprint server for health sciences · 2026Article
- [Development and validation of a risk prediction model for cognitive impairment in rural elderly Chinese populations: evidence from the CHARLS study].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 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
- A point-based cognitive impairment scoring system for southeast Asian adults.The journal of prevention of Alzheimer's disease · 2025Article
- Addition of inflammation-related biomarkers to the CAIDE model for risk prediction of all-cause dementia, Alzheimer's disease and vascular dementia in a prospective study.Immunity & ageing : I & A · 2024Article
- ANU-ADRI scores, tau pathology, and cognition in non-demented adults: the CABLE study.Alzheimer's research & therapy · 2024Article
- Article
- CogDrisk, ANU-ADRI, CAIDE, and LIBRA Risk Scores for Estimating Dementia Risk.JAMA network open · 2023Article
- Applications and implicit assumptions in dementia risk scores: A scoping review of the LIBRA score.Journal of Alzheimer's disease reportsReview
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundno studies have compared the predictive validity of different dementia risk prediction models in Australia.
objectives(i) to investigate the predictive validity of the Australian National University-Alzheimer's Disease Risk Index (ANU-ADRI), LIfestyle for BRAin Health (LIBRA) Index and cardiovascular risk factors, ageing and dementia study (CAIDE) models for predicting probable dementia/cognitive impairment in an Australian cohort. (ii) To develop and assess the predictive validity of a new hybrid model combining variables from the three models.
methodsthe Hunter Community Study (HCS) included 3,306 adults aged 55-85 years with a median follow-up of 7.1 years. Probable dementia/cognitive impairment was defined using Admitted Patient Data Collection, dispensing of cholinesterase inhibitors or memantine, or a cognitive test. Model validity was assessed by calibration and discrimination. A hybrid model was developed using deep neural network analysis, a machine learning method.
results120 (3.6%) participants developed probable dementia/cognitive impairment. Mean calibration by ANU-ADRI, LIBRA, CAIDE and the hybrid model was 19, 0.5, 4.7 and 3.4%, respectively. The discrimination of the models was 0.65 (95% CI 0.60-0.70), 0.65 (95% CI 0.60-0.71), 0.54 (95% CI 0.49-0.58) and 0.80 (95% CI 0.78-0.83), respectively.
conclusionANU-ADRI and LIBRA were better dementia prediction tools than CAIDE for identification of high-risk individuals in this cohort. ANU-ADRI overestimated and LIBRA underestimated the risk. The new hybrid model had a higher predictive performance than the other models but it needs to be validated independently in longitudinal studies.
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