Evidence map›Paper›PMID 42839237›Full record

ReviewLipids in health and disease2026

Triglyceride-glucose index as a cardiovascular risk marker: updated evidence, limitations, and future perspectives.

Mariia Cherska, Khrystyna Kukharchuk, Alexandr Ceasovschih, Victorita Sorodoc, Federica Fogacci, Tatyana Storozhenko, A M Abd El-Aty

Abstract readReview
In one paragraph

Review in Lipids in health and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Mariia CherskaState Institution V.P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv, 01001, Ukraine. emariya83@gmail.com.
Khrystyna KukharchukState Institution V.P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv, 01001, Ukraine.
Alexandr CeasovschihGrigore T. Popa University of Medicine and Pharmacy, Iasi, Romania.
Victorita SorodocGrigore T. Popa University of Medicine and Pharmacy, Iasi, Romania.
Federica FogacciHypertension and Cardiovascular Risk Research Center, Medical and Surgical Sciences Department, Alma Mater Studiorum University of Bologna, Bologna, 40130, Italy.
Tatyana StorozhenkoCardiovascular Center Aalst, Aalst, Belgium.
A M Abd El-AtyDepartment of Medical Pharmacology, Faculty of Medicine, Ataturk University, Erzurum, 25240, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) remain the foremost cause of morbidity and mortality worldwide, accounting for a substantial burden on healthcare systems, economies, and society. Traditional risk factors do not fully explain residual cardiovascular risk, highlighting the role of insulin resistance (IR) as a key pathophysiological link between metabolic disorders and CVD. The triglyceride-glucose (TyG) index, a simple surrogate marker derived from fasting triglyceride and glucose levels, has emerged as a practical tool for assessing IR and cardiovascular risk. This review summarizes current evidence on the role of the TyG index in the development, progression, and prognosis of CVD. The TyG index reflects both hepatic and adipose tissue insulin resistance and has shown comparable or superior performance to traditional markers such as homeostatic model assessment of insulin resistance (HOMA-IR) but is easier to calculate and more feasible for routine clinical use. Large epidemiological and cohort studies have consistently demonstrated associations between elevated TyG values and increased risk of type 2 diabetes mellitus, coronary heart disease, myocardial infarction, stroke, peripheral arterial disease, and heart failure in both general and high-risk populations. Evidence suggests a dose-response relationship between TyG and cardiovascular outcomes, with higher TyG levels or adverse longitudinal trajectories conferring greater risk. Importantly, TyG has been linked to subclinical atherosclerosis, coronary microvascular dysfunction, and adverse cardiac remodeling, indicating its relevance in early disease stages. Sex-specific differences have been reported, with several studies showing stronger associations between TyG and cardiovascular risk in women. In addition, TyG has demonstrated prognostic value across diverse clinical settings, including acute and chronic coronary syndromes, myocardial infarction with nonobstructive coronary arteries, and heart failure. Despite these findings, the clinical implementation of the TyG index remains limited. Its incremental value beyond that of established risk models is inconsistent, and its predictive performance varies across populations, age groups, and ethnicities. Most available data are observational, with underrepresentation of non-Asian populations and younger individuals, and standardized clinical cutoff values have not been universally established. In conclusion, the TyG index is a simple, inexpensive, and widely accessible marker of insulin resistance with considerable potential for cardiovascular risk stratification. While current evidence supports its association with incident CVD, atherosclerotic burden, and adverse outcomes, further prospective, multiethnic studies are needed to define optimal thresholds, clarify its role alongside existing risk models, and determine whether TyG-guided strategies can improve clinical outcomes.

Indexed as

Blood GlucoseCardiovascular DiseasesTriglyceridesBiomarkersDiabetes Mellitus, Type 2FemaleHeart Disease Risk FactorsHumansInsulin ResistancePrognosisRisk FactorsBiomarkersBlood GlucoseTriglyceridesAtherosclerosisCardiovascular diseasesHyperlipidemiaInsulin resistanceTriglyceride–glucose index

Identifiers

PMID42839237
PMCPMC13640206

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.