Evidence mapPaperPMID 42100209Full record

ArticleFrontiers in endocrinology2026

Association between triglyceride-glucose-related indices and liver-related events in patients with type 2 diabetes.

Yanan Mi, Chenhao Ye, Deji Song, Wang Chao, Ziqi Zhang, Lei Wang, Wei Qian

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yanan MiInstitute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Chenhao YeInstitute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Deji SongInstitute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Wang ChaoComprehensive Supervision and Law Enforcement Bureau, Shibei District Health Bureau, Qingdao, China.
Ziqi ZhangInstitute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lei WangDepartment of Hepatology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Wei QianSchool of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accumulating evidence has linked the triglyceride-glucose (TyG) index and its derived measures to a broad range of diabetic complications. However, the nature of the association between these indices and subsequent liver morbidity in type 2 diabetes (T2D) patients warrants further investigation. The present analysis assessed the prospective associations between four TyG-based parameters and the incidence of liver-related events (LRE) among people with T2D. Methods: This prospective cohort study included 18,105 participants with T2D from the UK Biobank. Four TyG-related indices were assessed, including TyG, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), and TyG-waist-to-height ratio (TyG-WHtR). Cox proportional hazards models and restricted cubic spline (RCS) were used to evaluate the associations between TyG-related indices and incident LRE risk. Results: During a median follow-up of 13.4 years, 507 T2D patients developed LRE. Compared to patients in the lowest quartile, those in the highest quartiles of both TyG-WC (HR = 1.63, 95% CI 1.12-2.38) and TyG-WHtR (HR = 1.98, 95% CI 1.36-2.89) were associated with increased risk of LRE. Restricted cubic spline models confirmed linear relationships for both TyG-WC and TyG-WHtR with LRE risk. No significant associations of TyG and TyG-BMI with LRE risk were observed. Subgroup analyses demonstrated that the associations between TyG-WC/TyG-WHtR and LRE were more pronounced in high-risk populations, including excessive alcohol consumers and individuals with FIB-4 scores ≥1.3 (indicating higher liver fibrosis risk). For instance, the association between TyG-WHtR and LRE was stronger in individuals with FIB-4 ≥1.3 (HR = 2.59, 95% CI 1.65-4.07) compared to those with FIB-4 <1.3 (HR = 1.58, 95% CI 0.76-3.29). Conclusion: Among T2D patients, TyG-WC and TyG-WHtR were consistently associated with increased risk of LRE, confirming the independent clinical utility of these indices. These findings demonstrate that both indices may serve as efficient, cost-effective, and practical tools for enhancing the identification and stratification of LRE risk in clinical practice.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Liver DiseasesTriglyceridesAgedBody Mass IndexFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsWaist CircumferenceBlood GlucoseTriglyceridesdiabetic complicationsliver-related eventstriglyceride-glucose indextype 2 diabetesUK Biobank

Identifiers

PMID42100209
PMCPMC13143714

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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 Socratic graph.