Evidence map›Paper›PMID 39987346›Full record

ArticleScientific reports2025

Triglyceride-glucose index as a superior marker of insulin resistance for predicting long-term major adverse cardiovascular events following coronary artery bypass grafting in China.

Xiangfei Sun, Zhenguo Wu, Dachuan Guo, Sha Chen, Chunfei Song, Xiangzhen Ran, Li Liu, Yerui Zhang, Xiaoyu Liu, Guangqing Cao and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Pooled it
  3. Improved Cardiac Function and Glycemic Control in Elderly Diabetic Patients Through Structured Case Management After CABG.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Trial
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  5. Review
  6. Article
  7. Review
  8. 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

11 authors.

Xiangfei SunDepartment of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 9677 Jingshi Road, Jinan, 250021, Shandong, China.
Zhenguo WuState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Dachuan GuoState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Sha ChenState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Chunfei SongState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Xiangzhen RanState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Li LiuState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Yerui ZhangState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Xiaoyu LiuState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Guangqing CaoDepartment of Cardiovascular Surgery, Qilu Hospital of Shandong University, No. 107, West Wenhua Road, Jinan, 250012, Shandong, China. doctorqq@126.com.
Jianmin YangState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China. yangjianmin@sdu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance (IR) has emerged as a risk factor for coronary artery disease (CAD), but there are currently insufficient data on the association of non-insulin-based IR indexes [triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, triglyceride and glucose (TyG) index, and metabolic score for IR (METS-IR)] with the postoperative prognosis in patients undergoing coronary artery bypass grafting (CABG). Therefore, the present study aimed to examine the predictive power of the above non-insulin-based IR indexes for postoperative prognosis of CABG patients, and to further compare the predictive power of the three indexes. This study included 1472 consecutive CABG patients from June 2014 to January 2019. These patients were divided into two groups based on major adverse cardiovascular events (MACE): without MACE (n = 1136) and with MACE (n = 336). Formulas were used to calculate TyG index, TG/HDL-C, and METS-IR. The Cox regression was done. The study examined how TyG index, TG/HDL-C, and METS-IR improved model performance. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to evaluate this. The evaluation of model goodness-of-fit was conducted by employing the Akaike information criterion (AIC), Bayesian information criterion (BIC), and χ

Indexed as

Blood GlucoseCardiovascular DiseasesCoronary Artery BypassCoronary Artery DiseaseInsulin ResistancePostoperative ComplicationsTriglyceridesAgedBiomarkersChinaCholesterol, HDLFemaleHumansMaleMiddle AgedPrognosisBiomarkersBlood GlucoseCholesterol, HDLTriglyceridesCoronary artery bypass graftingMajor adverse cardiovascular eventsMetabolic score for insulin resistanceTriglyceride and glucose indexTriglyceride to high-density lipoprotein cholesterol ratio

Identifiers

PMID39987346
PMCPMC11846878

What Socratic 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 Socratic graph.