ArticleCardiovascular diabetology2025
Association between triglyceride-glucose muscle-loss index (TyG-MLI) and incident cardiovascular disease: a prospective cohort study in the UK biobank.
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 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Association of Combined Cardiometabolic and Muscle Impairment Index with Cardiovascular-Kidney-Metabolic Syndrome Progression Among Middle-Aged and Older Adults: A Prospective Two-Cohort Study.Healthcare (Basel, Switzerland) · 2026Article
- Joint effects of depression, lipid metabolic dysfunction, and their trajectories on incident cardiometabolic multimorbidity: a prospective multi-cohort analysis from two national cohorts.Lipids in health and disease · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInsulin resistance and muscle loss are interrelated processes linked to cardiovascular disease (CVD), but they are rarely assessed together. We investigated the association between a novel integrated biomarker-triglyceride-glucose muscle-loss index (TyG-MLI)-and incident CVD in a large prospective cohort.
methodsA total of 277,418 UK Biobank participants free of CVD at baseline were included. TyG-MLI was calculated as ln[(triglycerides × fasting glucose)/2] × (cystatin C/creatinine). Incident CVD was identified through hospital admissions and death registries. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).
resultsOver a median follow-up of 15.1 years, 40,398 participants developed CVD. Crude CVD incidence increased steadily across TyG-MLI quartiles, and the cumulative incidence curves demonstrated clear separation on Kaplan-Meier analysis (log-rank p < 0.001). Higher TyG-MLI was independently associated with greater CVD risk when modeled either continuously (per 1-SD: HR 1.17; 95% CI 1.16-1.18) or categorically (Q4 vs. Q1: HR 1.48; 95% CI 1.44-1.53). Restricted cubic spline analyses demonstrated a non-linear association across the TyG-MLI distribution. Sensitivity analyses yielded consistent results. In body mass index-stratified analyses, TyG-MLI showed stronger associations with CVD than TyG index, particularly among normal-weight and underweight individuals.
conclusionsTyG-MLI, a composite marker reflecting insulin resistance and muscle loss, was independently associated with incident CVD in this large population-based cohort. These findings suggest that TyG-MLI captures cardiometabolic risk beyond traditional measures and may be particularly informative in individuals without obesity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.