ArticleJournal of diabetes2026
Atherogenic Index of Plasma Predicts the Onset and Progression of Cardio-Renal-Metabolic Multimorbidity: Evidence From a Nationwide Prospective Cohort Study.
Article in Journal of diabetes, 2026. 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.
- Correlation Between Fasting Blood Glucose and Serum Lipid Profile and Lipid Ratios in Patients with Type 2 Diabetes Mellitus in Southern Thailand: A Cross-Sectional Study.Medical sciences (Basel, Switzerland) · 2026Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundCardio-renal-metabolic (CRM) multimorbidity, defined by the co-occurrence of cardiovascular disease (CVD), chronic kidney disease (CKD), and type 2 diabetes (T2DM), poses a growing burden for multimorbidity management. The atherogenic index of plasma (AIP), a lipid-based marker of insulin resistance, may help predict CRM progression, but its prognostic value remains unclear.
methodsWe used data from 5805 adults free of CRM at baseline in the China Health and Retirement Longitudinal Study. AIP was calculated as log
resultsAIP showed a clear dose-response relationship with CRM progression. Each 1-standard deviation (SD) increase in AIP was associated with higher risks of single (HR 1.17, 95% CI 1.13-1.22), dual (HR 1.31, 95% CI 1.21-1.41), and triple CRM (HR 1.57, 95% CI 1.27-1.94) diseases. Strong associations were observed for new-onset T2DM and stroke, but not CKD. AIP yielded the highest discrimination for triple CRM (5-year area under the curve [AUC] = 0.710). Multistate modeling showed each 1-SD increase in AIP raised the hazard of transitioning from single to dual CRM by 14% and from dual to triple by 31%.
conclusionsAIP is an independent, simple, and low-cost predictor of CRM onset and progression, with potential utility for early risk stratification and prevention.
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