Evidence map›Paper›PMID 41039463›Full record

ArticleCardiovascular diabetology2025

Joint effects of triglyceride glucose index and its obesity-related derivatives with estimated glucose disposal rate on cardiometabolic multimorbidity in middle-aged and older Chinese adults: a nationwide cohort study.

Xianlin Ruan, Yihang Ling, Jinming Chen, Yulong Xiang, Huangtao Ruan, Weipeng Zhang, Ling Jing, Xin Gao, Yibo He, Xiaozhao Lu and 3 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

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0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Xianlin RuanDepartment of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Yihang LingDepartment of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Jinming ChenDepartment of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Yulong XiangGuangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Huangtao RuanGuangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Weipeng ZhangGuangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Ling JingDepartment of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Xin GaoGuangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Yibo HeGuangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Xiaozhao LuDepartment of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Tian ChangGuangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Junyan XuDepartment of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. junyanxu_zj@126.com.
Jiyan ChenDepartment of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. chenjiyandr@126.com.

Funding

AstraZeneca Externally Sponsored Research Project ESR-23-22118Guangdong Basic and Applied Basic Research Foundation 2022A1515012126Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention No. Z022017016National Natural Science Foundation of China NO. 82300278NSFC Incubation Project of Guangdong Provincial People's Hospital KY0120220041Science and Technology Projects in Guangzhou 2024A04J4157
6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), TyG-waist-to-height ratio (TyG-WHtR), and estimated glucose disposal rate (eGDR) serve as surrogate markers of insulin resistance (IR) and are associated with cardiometabolic diseases (CMDs). However, the joint effects of TyG-related indices and eGDR on cardiometabolic multimorbidity (CMM) risk remains unclear. This study aims to assess both separate and combined effects of TyG-related indices and eGDR on CMM.

methodsThe data of this study derived from the China Health and Retirement Longitudinal Study (CHARLS). TyG-related indices and eGDR were dichotomized at their median levels for participant categorization. Univariate and multivariate Cox regression and restricted cubic splines (RCS) analyzed effects of TyG-related indices and eGDR on CMM, while receiver operating characteristic (ROC) curves, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) assessed their predictive performance. Meanwhile, the mutual mediating effects and interaction effects were further assessed.

resultsThis study included 5,854 participants (male: 47.5%, median age: 57.0 years). Compared to low TyG-related indices plus high eGDR, High TyG-related indices plus low eGDR had elevated CMM risks: TyG (HR 3.59, 95% CI 2.28-5.65), TyG-BMI (HR 3.40, 95% CI 2.30-5.02), TyG-WC (HR 3.85, 95% CI 2.58-5.75), and TyG-WHtR (HR 3.62, 95% CI 2.43-5.39). Furthermore, the addition of TyG-related indices combined with eGDR to the basic model significantly improved CMM risk prediction: TyG (AUC 0.713, NRI 0.363, IDI 0.008, all p < 0.05); TyG-BMI (AUC 0.729, NRI 0.479, IDI 0.011, all p < 0.05); TyG-WC (AUC 0.716, NRI 0.419, IDI 0.010, all p < 0.05); and TyG-WHtR (AUC 0.717, NRI 0.379, IDI 0.010, all p < 0.05). Moreover, the mediation analysis demonstrated that eGDR significantly mediated all TyG-related indices' associations with CMM, with only obesity-related TyG indices mediating the association between eGDR and CMM. Notably, no significant additive or multiplicative interaction was observed between any TyG-related indices and eGDR for CMM risk.

conclusionsHigh TyG-related indices and low eGDR were independently and jointly associated with higher CMM risk. Joint application of TyG-related indices and eGDR could improve early identification and prevention of CMM.

Indexed as

Blood GlucoseMetabolic SyndromeObesityTriglyceridesAgedAge FactorsBiomarkersBody Mass IndexCardiometabolic Risk FactorsChinaEast Asian PeopleFemaleHumansInsulin ResistanceLongitudinal StudiesMaleBiomarkersBlood GlucoseTriglyceridesCardiometabolic multimorbidityCHARLSEstimated glucose disposal rateInsulin resistanceTriglyceride glucose index

Identifiers

PMID41039463
PMCPMC12492775

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.