Evidence mapPaperPMID 40065340Full record

ArticleCardiovascular diabetology2025

Triglyceride glucose index predicts long-term mortality and major adverse cardiovascular events in patients with type 2 diabetes.

Matilde Sbriscia, Dalila Colombaretti, Angelica Giuliani, Silvia Di Valerio, Lucia Scisciola, Iryna Rusanova, Anna Rita Bonfigli, Fabiola Olivieri, Jacopo Sabbatinelli

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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

23 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

9 authors.

Matilde SbrisciaScientific Direction, IRCCS INRCA, Ancona, Italy.
Dalila ColombarettiDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, Italy.
Angelica GiulianiDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, Italy. angelica.giuliani@staff.univpm.it.
Silvia Di ValerioDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, Italy.
Lucia ScisciolaDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Piazza L. Miraglia 2, 80138, Naples, Italy. lucia.scisciola@unicampania.it.
Iryna RusanovaDepartamento de Bioquímica y Biología Molecular I, Facultad de Ciencias, Instituto de Biotecnología, Parque Tecnológico de Ciencias de la Salud, Universidad de Granada, Granada, Spain.
Anna Rita BonfigliScientific Direction, IRCCS INRCA, Ancona, Italy.
Fabiola OlivieriDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, Italy.
Jacopo SabbatinelliDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, Italy.

Funding

European Commission Next Generation EUMinistero della Salute Ricerca Corrente to IRCCS INRCAUniversità Politecnica delle Marche RSA Grant
6 · The paper itself

Abstract

backgroundThe triglyceride glucose index (TyG index) is a marker of insulin resistance linked to the incidence of major adverse cardiovascular events (MACE) in diverse populations. However, its long-term prognostic role in type 2 diabetes (T2D) remains underexplored. This study evaluated the predictive value of the TyG index for all-cause mortality and MACE in T2D over a period of more than 15 years.

methodsA retrospective analysis was conducted on a cohort of 568 patients with T2D (median age: 67 years, IQR 61-72 years; 54% males; median disease duration: 14 years, IQR 7-21 years; median HbA1c: 7.3%, IQR 6.6-8.0%) and 376 presumably healthy controls (CTR, median age: 65 years, IQR 60-71 years) followed for a median period of 16.8 (IQR, 13.1-16.8) years. Routine biomarkers were measured on serum samples using commercially available methods. One-way ANOVA/ANCOVA, logistic regression, and Spearman's correlations were used to compare the TyG index among groups and to assess its correlations with biochemical variables. The association between TyG index and the follow-up endpoints was investigated by Kaplan-Meier curves and Cox proportional hazards analysis.

resultsPatients with T2D exhibited higher TyG Index values compared to CTR, with significant correlations between the TyG Index and markers of obesity, glucose metabolism, inflammation, and liver function. Patients with preexisting diabetic kidney disease (DKD) or atherosclerotic vascular disease had higher baseline values of TyG index. Sex-specific differences were observed among CTR but not in T2D patients. The TyG Index was predictive of all-cause mortality (HR = 1.39, 95% CI 1.07-1.79) and associated with the onset of complications MACE, DKD, and neuropathy independent of other conventional predictors. Age modified the TyG Index-mortality association, with the strongest effect in individuals aged 57-74.

conclusionThe TyG index is a valuable prognostic marker for long-term risk of all-cause mortality and MACE in patients with T2D, supporting its use in clinical risk stratification.

Indexed as

Blood GlucoseCardiovascular DiseasesDiabetes Mellitus, Type 2TriglyceridesAgedBiomarkersCase-Control StudiesCause of DeathFemaleHumansInsulin ResistanceMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesBiomarkersBlood GlucoseTriglyceridesAll-cause mortalityInsulin resistanceMajor adverse cardiovascular eventsTriglyceride–glucose indexType 2 diabetes

Identifiers

PMID40065340
PMCPMC11895143

What Socratic holds

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Registered trials

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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.