Evidence map›Paper›PMID 37848993›Full record

ArticleEuropean journal of medical research2023

Association of triglyceride-glucose index with coronary severity and mortality in patients on dialysis with coronary artery disease.

Enmin Xie, Zixiang Ye, Yaxin Wu, Xuecheng Zhao, Yike Li, Nan Shen, Xiaochun Guo, Yanxiang Gao, Jingang Zheng

Abstract readMulticenter Study
In one paragraph

Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Enmin Xie *Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China.
Zixiang Ye *Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China.
Yaxin Wu *Department of Cardiology, Fuwai Central China Cardiovascular Hospital, Henan, China.
Xuecheng ZhaoDepartment of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China.
Yike LiDepartment of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China.
Nan ShenDepartment of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China.
Xiaochun GuoDepartment of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China.
Yanxiang GaoDepartment of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China. gaoyx1980@163.com.
Jingang ZhengDepartment of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China. mdjingangzheng@yeah.net.

Funding

Capital's Founds for Health Improvement and Research 2022-1-4062National High Level Hospital Clinical Research Funding 2022-NHLHCRF-YSPY-01National Key Clinical Specialty Construction Project 2020-QTL-009Science Foundation of China-Japan Friendship Hospital 2020-HX-40
6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index is validated as a reliable biomarker of insulin resistance and an independent predictor of cardiovascular prognosis. However, the prognostic value of the TyG index in patients on dialysis with coronary artery disease (CAD) remained unexplored. This study aimed to determine the association between the TyG index and CAD severity and mortality in these patients.

methodsA total of 1061 dialysis patients with CAD were enrolled in this multi-center cohort study from January 2015 to June 2021. The extent and severity of CAD were evaluated using the multivessel disease and Gensini score (GS). Patients were followed up for all-cause death and cardiovascular death.

resultsThe multivariable logistic regression model indicated that the TyG index was significantly associated with multivessel disease (odds ratio [OR] 1.51, 95% confidence interval [CI] 1.18-1.94, P = 0.001), and high GS (OR 1.33, 95% CI 1.10-1.61, P = 0.003). After adjusting for baseline risk factors, the hazards of all-cause death and cardiovascular death were 1.23 (95% CI 1.06-1.43, P = 0.007), and 1.33 (95% CI 1.11-1.59, P = 0.002), independent of CAD severity. Restricted cubic spline analysis identified a dose-response association between the TyG index and both CAD severity and mortality (all P for nonlinearity > 0.05). When modeling the TyG index as a categorical variable, these independent associations remained. Subgroup analyses did not substantially modify the results. Furthermore, incorporating the TyG index into the existing risk prediction model improved the predictive accuracy for all-cause death and cardiovascular death, as evaluated by C-statistic, continuous net reclassification improvement, and integrated discrimination improvement.

conclusionsIn patients on dialysis with CAD, the TyG index was significantly associated with more severe CAD as well as mortality. These results highlight the clinical importance of the TyG index for assessing CAD severity and risk stratification in patients on dialysis with CAD.

Indexed as

Coronary Artery DiseaseGlucoseBiomarkersBlood GlucoseCohort StudiesHumansRenal DialysisRisk AssessmentRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesCoronary artery diseaseDialysisInsulin resistancePrognosisTriglyceride–glucose index

Identifiers

PMID37848993
PMCPMC10580538

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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 OpenQuestion graph.