ArticlePloS one2025
Predictive value of adiposity measures and lipid-related indices for metabolic syndrome in Chinese elderly people at high risk of stroke.
Article in PloS one, 2025. 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.
- Simplicity meets accuracy: TyG-Waist as a practical alternative to CVAI for type 2 diabetes prediction in high-risk Chinese adults.BMC endocrine disorders · 2026Article
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4 authors.
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Abstract
This study aims to explore the predictive value of adiposity measures and lipid-related indices for metabolic syndrome (MetS) in Chinese elderly people at high risk of stroke. A total of 7,693 community-dwelling individuals aged 60 years and older in Shanghai were included. Through ROC curve analysis, it was found that indices such as triglyceride glucose-waist circumference (TyG-WC), triglyceride glucose-waist-to-height-ratio (TyG-WHtR), and Lipid accumulation product (LAP) showed excellent performance in predicting MetS, with TyG-WC being the strongest predictor in both males (AUC = 0.90) and females (AUC = 0.90). These indices integrate information on both lipid metabolism and body fat distribution, allowing for more accurate identification of MetS. The study also revealed that ABSI had poor predictive performance. These findings suggest that the combined use of these indices may help identify MetS earlier and more accurately in elderly people at high risk of stroke, providing a basis for clinical intervention. Future research should validate the generalizability of these indicators in more diverse populations and explore their potential integration into clinical workflows.
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