Evidence map›Paper›PMID 36161140›Full record

ArticlePreventive medicine reports2022

Triglyceride glucose index: A new biomarker in predicting cardiovascular risk.

Susilane Pereira Araújo, Leidjaira Lopes Juvanhol, Josefina Bressan, Helen Hermana Miranda Hermsdorff

Abstract read
In one paragraph

Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
–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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Clinical Use of the Triglycerides/Glucose (TyG) Index in the Early Assessment of Metabolic Alterations and Cardiovascular Remodeling in Essential Hypertensive Patients.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
    Article
  18. Article
  19. Article
  20. Article
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

4 authors.

Susilane Pereira AraújoDepartment of Nutrition and Health. Universidade Federal de Viçosa. Viçosa. Brazil.
Leidjaira Lopes JuvanholDepartment of Nutrition and Health. Universidade Federal de Viçosa. Viçosa. Brazil.
Josefina BressanDepartment of Nutrition and Health. Universidade Federal de Viçosa. Viçosa. Brazil.
Helen Hermana Miranda HermsdorffDepartment of Nutrition and Health. Universidade Federal de Viçosa. Viçosa. Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Insulin resistance can be assessed by the Triglyceride-Glucose Index (TyG), a simple, low-cost, and easy-to-apply method. Objective: To assess the predictive capacity of the TyG index about cardiovascular risk and identify its cutoff point in a population at cardiometabolic risk. Methods: Cross-sectional study with 264 individuals at cardiometabolic risk (54.9% women, age: 43.1 ± 16.3 years). Demographic, anthropometric, clinical-laboratory, and lifestyle data were collected. The TyG index was determined using the formula Ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg (dL)/2]. The ten-year cardiovascular risk was assessed by the Framingham risk score (FRS). The receiver operating characteristic curve (ROC) was used to define the cutoff point for the TyG index, and the associations were tested by Poisson regression. Results: ROC curve analysis indicated an area under the curve of 0.678 (95% CI = 0.618-0.734; p < 0.001), with a cutoff of 9.04 (sensitivity = 62.5%, specificity = 66.7%, positive predictive value = 29.4% and negative predictive value = 88.9%). Elevated TyG values ​​(≥9.04) were positively associated with cardiometabolic risk factors (total cholesterol, LDL, VLDL, uric acid, alanine aminotransferase, aspartate aminotransferase, waist-hip ratio, systolic blood pressure, HOMA-IR, smoking, metabolic syndrome, diabetes, and hepatic steatosis). After adjustment for confounding factors, individuals with high TyG showed an increase of 69% (RP = 1.69; 95%CI = 1.03-2.78) in the prevalence of intermediate/high risk by FRS, compared to those with low TyG. Conclusion: The TyG index showed a good predictive capacity for cardiovascular risk in ten years assessed by the FRS.

Indexed as

ALT, Alanine aminotransferaseAST, Apartate aminotransferaseCardiovascular diseaseCardiovascular riskCVD, Cardiovascular diseasesFramingham scoreFRS, Framingham risk scoreHDL, High-density lipoproteinInsulin resistanceIR, Insulin resistanceLDL, Low-density lipoproteinROC, Receiver operating characteristicTC, Total cholesterolTyG indexTyG, triglyceride-glucose indexVLDL, Very-low-density lipoprotein

Identifiers

PMID36161140
PMCPMC9502283

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.