ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2025
[Association Between Surrogate Markers of Insulin Resistance and Incident Cardiovascular Disease in a Population With Stages 0-3 Cardiovascular-Kidney-Metabolic Syndrome: A Prospective Cohort Study].
Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Linking the triglyceride-glucose index to major adverse cardiocerebrovascular events in individuals with cardiovascular-kidney-metabolic syndrome: insights from an aggregate-data systematic review and dose-response meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Growth differentiation factor-15 and the incidence, bidirectional progression, and risk prediction of atherosclerotic cardiovascular disease and metabolic dysfunction-associated steatotic liver disease in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3.Cardiovascular diabetology · 2026Article
- [A Study of the Association and Interaction Between Organophosphorus Pesticide Exposure and Insulin Resistance in Non-diabetic Adults].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026Article
- Association of triglyceride-glucose muscle loss index with major adverse cardiovascular events in angina patients: the potential mediating role of inflammation.Frontiers in medicine · 2026Article
- Triglyceride-glucose index and its derivatives as emerging biomarkers of insulin resistance for prognostic evaluation of cardiovascular-kidney-metabolic syndrome: mechanisms and clinical applications.Frontiers in pharmacology · 2026Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the association between 8 insulin resistance (IR) surrogate markers and incident atherosclerotic cardiovascular disease (ASCVD) in population with cardiovascular-kidney-metabolic syndrome (CKM) of stages 0-3, and to identify the surrogate marker with the best predictive performance. Methods: A study was conducted on 20121 community residents classified as CKM stages 0-3 from the Chengdu cohort of the China Multi-Ethic Cohort. A Cox proportional hazards model was used to calculate hazard ratios (HRs) between each IR surrogate marker and incident ASCVD. Cubic spline regression was employed to explore the dose-response relationships between these markers and incident ASCVD. The relative relationships between different markers and incident ASCVD were examined through the ratio of HRs (RHRs). Time-dependent area under the receiver operating characteristic curve (TDAUC) and Uno's C-statistic were calculated to compare the predictive performance of each marker for incident ASCVD. Based on the PREVENT equation components and the 8 surrogate markers under analysis, random forest feature selection was used to determine the contribution of each marker to accurate prediction. Results: During a follow-up period of 82741.93 person-years, 1447 incident cases of ASCVD were recorded, with an incidence density of 17.49 per 1000 person-years. Association analyses indicated that the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL) and the TyG/(TG/HDL) index were not associated with incident ASCVD ( Conclusion: The TyG index combined with obesity measurement parameters is an ideal IR surrogate marker for predicting incident ASCVD in populations with stages 0-3 CKM. Monitoring these markers will facilitate the prevention and control of cardiovascular diseases in CKM populations.
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