Evidence map›Paper›PMID 37420232›Full record

ArticleCardiovascular diabetology2023

Association between the triglyceride-glucose index and the risk of mortality among patients with chronic heart failure: results from a retrospective cohort study in China.

You Zhou, Chi Wang, Hebin Che, Liting Cheng, Di Zhu, Chongyou Rao, Qin Zhong, Zongren Li, Xiao Wang, Zisheng Wu and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

You ZhouSchool of Medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China.
Chi WangMedical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Hebin CheMedical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Liting ChengSchool of Medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China.
Di ZhuMedical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Chongyou RaoMedical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Qin ZhongMedical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Zongren LiMedical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Xiao WangMedical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Zisheng WuChinese PLA General Hospital and Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Kunlun HeSchool of Medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China. kunlunhe@plagh.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index has been demonstrated to be a reliable surrogate marker of insulin resistance (IR) and an effective predictive index of cardiovascular (CV) disease risk. However, its long-term prognostic value in patients with chronic heart failure (CHF) remains uncertain.

methodsA total of 6697 consecutive patients with CHF were enrolled in this study. Patients were divided into tertiles according to their TyG index. The incidence of primary outcomes, including all-cause death and CV death, was recorded. The TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting blood glucose (mg/dL)/2].

resultsDuring a median follow-up of 3.9 years, a total of 2158 (32.2%) all-cause deaths and 1305 (19.5%) CV deaths were documented. The incidence of primary events from the lowest to the highest TyG index tertiles were 50.61, 64.64, and 92.25 per 1000 person-years for all-cause death and 29.05, 39.40, and 57.21 per 1000 person-years for CV death. The multivariate Cox hazards regression analysis revealed hazard ratios for all-cause and CV deaths of 1.84 (95% CI 1.61-2.10; P for trend < 0.001) and 1.94 (95% CI 1.63-2.30; P for trend < 0.001) when the highest and lowest TyG index tertiles were compared. In addition, the predictive ability of the TyG index against all-cause death was more prominent among patients with metabolic syndrome and those with heart failure with preserved ejection fraction phenotype (both P for interaction < 0.05). Furthermore, adding the TyG index to the established model for all-cause death improved the C‑statistic value (0.710 for the established model vs. 0.723 for the established model + TyG index, P < 0.01), the integrated discrimination improvement value (0.011, P < 0.01), the net reclassification improvement value (0.273, P < 0.01), and the clinical net benefit (probability range, 0.07-0.36).

conclusionsThe TyG index was significantly associated with the risk of mortality, suggesting that it may be a reliable and valuable predictor for risk stratification and an effective prognostic indicator in patients with CHF.

Indexed as

GlucoseHeart FailureBiomarkersBlood GlucoseChinaChronic DiseaseHumansRetrospective StudiesRisk AssessmentRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesChronic heart failureHeart failure with preserved ejection fractionMetabolic syndromeMortalityTriglyceride–glucose index

Identifiers

PMID37420232
PMCPMC10329381

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.