ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024
Significance of plasma p-tau217 in predicting long-term dementia risk in older community residents: Insights from machine learning approaches.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A multiverse analysis of the logical memory test and plasma biomarkers of Alzheimer's disease.Cortex; a journal devoted to the study of the nervous system and behavior · 2026Article
- Development and validation of a Cog-Free risk predicting tool for dementia in a community setting.General psychiatry · 2026Article
- Diagnostic and Prognostic Utility of Plasma p-tau217 for Alzheimer's Disease in Chinese Elderly: Insights From the SILCODE Study With a Derived Threshold.European journal of neurology · 2026Article
- Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer's disease.Alzheimer's research & therapy · 2025Article
- Spotlight on Alzheimer's disease and related dementias research in East Asia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Closing the gap in dementia research by community-based cohort studies in the Chinese population.The Lancet regional health. Western Pacific · 2025Review
- Expression of dementia biomarkers in Appalachian and non-Appalachian ELVO patients during thrombectomy.Frontiers in neuroscience · 2025Article
- Significance of plasma p-tau217 in predicting long-term dementia risk in older community residents: Insights from machine learning approaches.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Association of Excessive Daytime Sleepiness With Long-Term Incident Dementia: The Role of β-Amyloid and White Matter Injury.Alzheimer's & dementia (New York, N. Y.)Article
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5 authors.
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Abstract
introductionWhether plasma biomarkers play roles in predicting incident dementia among the general population is worth exploring.
methodsA total of 1857 baseline dementia-free older adults with follow-ups up to 13.5 years were included from a community-based cohort. The Recursive Feature Elimination (RFE) algorithm aided in feature selection from 90 candidate predictors to construct logistic regression, naive Bayes, bagged trees, and random forest models. Area under the curve (AUC) was used to assess the model performance for predicting incident dementia.
resultsDuring the follow-up of 12,716 person-years, 207 participants developed dementia. Four predictive models, incorporated plasma p-tau217, age, and scores of MMSE, STICK, and AVLT, exhibited AUCs ranging from 0.79 to 0.96 in testing datasets. These models maintained robustness across various subgroups and sensitivity analyses. DISCUSSION: Plasma p-tau217 outperforms most traditional variables and may be used to preliminarily screen older individuals at high risk of dementia. HIGHLIGHTS: Plasma p-tau217 showed comparable importance with age and cognitive tests in predicting incident dementia among community older adults. Machine learning models combining plasma p-tau217, age, and cognitive tests exhibited excellent performance in predicting incident dementia. The training models demonstrated robustness in subgroup and sensitivity analysis.
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