ArticleEClinicalMedicine2024
Development and validation of the Florey Dementia Risk Score web-based tool to screen for Alzheimer's disease in primary care.
Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis 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
7 citing papers in PubMed, 1 synthesis or guideline pooled 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
- Multimodal Neuroimaging-Based Machine Learning Models Leveraging Cerebral Morphometry and Glymphatic Parameters Predict Short-Term Post-Programming STN-DBS Motor Response in Parkinson's Disease.CNS neuroscience & therapeutics · 2026Article
- Development and validation of an interpretable clinical scoring model to monitor the progression of preclinical Alzheimer's disease.Alzheimer's research & therapy · 2025Article
- Developing and validating a prediction tool for cerebral amyloid angiopathy neuropathological severity.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation.Critical care (London, England) · 2025Article
- Development and Validation of a Tool to Predict Onset of Mild Cognitive Impairment and Alzheimer Dementia.JAMA network open · 2025Article
- The clinical value of multimodal neuroimaging in monoclonal antibody therapy for Alzheimer's disease.Frontiers in neurologyReview
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Background: It is estimated that ∼60% of people with Alzheimer's disease (AD) are undetected or undiagnosed, with higher rates of underdiagnosis in low-to middle-income areas with limited medical resources. To promote health equity, we have developed a web-based tool that utilizes easy-to-collect clinical data to enhance AD detection rate in primary care settings. Methods: This study was leveraged on the data collected from participants of the Australian Imaging, Biomarker & Lifestyle (AIBL) study and the Religious Orders Study and Memory and Aging Project (ROSMAP). The study included three phases: (1) constructing and evaluating a model on retrospective cohort data (1407 AIBL participants), (2) performing simulated trials to assess model accuracy (30 AIBL participants) and missing data tolerability (30 AIBL participants), and (3) external evaluation using a non-Australian dataset (500 ROSMAP participants). The auto-score machine learning algorithm was employed to develop the Florey Dementia Risk Score (FDRS). All the simulated trials and evaluation were performed using a web-based FDRS tool. Findings: FDRS achieved an area under the curve (AUC) of approximately 0.82 [95% CI, 0.75-0.88], with a sensitivity of 0.74 [0.60-0.86] and a specificity of 0.73 [0.70-0.79]. The accuracy of the simulated pilot trial for 30 AIBL participants with complete record was 87% (26/30 correct), while it only slightly decreased (80.0-83.3%, depending on imputation methods) for another 30 AIBL participants with one or two missing data. FDRS achieved an AUC of 0.82 [0.77-0.86] of 500 ROSMAP participants. Interpretation: The FDRS tool offers a potential low-cost solution to AD screening in primary care. The present study warrants future trials of FDRS for optimization and to confirm its generalizability across a more diverse population, especially people in low-income countries. Funding: National Health and Medical Research Council, Australia (GNT2007912) and Alzheimer's Association, USA (23AARF-1020292).
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Registered trials
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.