ArticleJournal of Alzheimer's disease reports
Predicting brain health in community-dwelling elderly populations by integrating Gaussian mixture model and plasma biomarkers.
Article in Journal of Alzheimer's disease reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Limbic-predominant neuroimaging correlates of plasma p-Tau217 in preclinical and clinical Alzheimer's disease.Frontiers in aging neuroscience · 2026Article
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Authors and funding
7 authors.
Funding
Abstract
Background: Alzheimer's disease (AD) is the most common type of dementia, and early screening is crucial for intervention. Objective: Currently, early screening for older adults without dementia primarily rely on cognitive scale. This study aims to explore a more feasible approach. Methods: Plasma biomarkers (Aβ Results: Plasma Aβ Conclusions: Our study indicated that the combination of GMM and plasma biomarkers for community screening shows promising potential in monitoring brain health among older adults without dementia. P-tau217 exhibited the best predictive value among the three plasma biomarkers.
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Registered trials
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