Evidence map›Paper›PMID 41310661›Full record

ArticleNutrition journal2025

Association of triglyceride-glucose related indices with all-cause and cardiovascular mortality in patients with chronic obstructive pulmonary disease: a large prospective cohort study.

Jin Yang, Xiaolin Wang, Jian Gao, Wenfang Zhong, Peiliang Chen, Qingmei Huang, Yixin Zhang, Dan Liu, Zhihao Li, Chen Mao

Abstract read
In one paragraph

Article in Nutrition journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 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

10 authors.

Jin Yang *Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Xiaolin Wang *Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Jian GaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Wenfang ZhongDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Peiliang ChenDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Qingmei HuangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Yixin ZhangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Dan LiuDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Zhihao LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Chen MaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China. maochen9@smu.edu.cn.

Funding

Construction of High-level University of Guangdong G624330242National Natural Science Foundation of China 82425052Postdoctoral Fellowship Program of CPSF GZC20231052
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is a leading cause of death and is closely linked to cardiovascular disease (CVD) and metabolic disorders. The triglyceride-glucose (TyG) index and related indices are potential markers for all-cause and CVD mortality. This study aimed to evaluate their predictive value in patients with COPD.

methodsData from the UK Biobank, a large-scale biomedical database including genetic, environmental, lifestyle, and disease outcome information, were used for this analysis. Four indicators were constructed, including TyG, TyG combined with BMI (TyG-BMI), waist circumference (TyG-WC), and waist-to-height ratio (TyG-WHtR). Both the continuous values and tertile categories of these indicators were analyzed. Kaplan-Meier curves, restricted cubic splines, and Cox proportional hazards models were used to examine their associations with all-cause and CVD mortality among patients with COPD.

resultsA total of 40,414 COPD patients (mean age, 58 years) were included. Over a median follow-up period of 13 years, 35,558 participants were alive, while 4,856 died, including 524 from CVD. Compared with the lowest tertile, the highest tertile of TyG, TyG-WC and TyG-WHtR were significantly associated with an increased risk of all-cause mortality, with fully adjusted HRs of 1.149 (95% CI: 1.048-1.259), 1.143 (95% CI: 1.045-1.252) and 1.313 (95% CI: 1.205-1.430), respectively. In contrast, TyG-BMI showed no significant association with all-cause mortality (HR: 0.979, 95% CI: 0.903-1.061). Additionally, TyG-WHtR was significantly associated with a higher risk of CVD mortality (HR: 1.539, 95% CI: 1.178-2.011). Nonlinear relationships were observed between TyG-WC and TyG-WHtR with all-cause mortality, while a linear association was noted with CVD mortality. A U-shaped relationship was found between TyG-BMI and both all-cause and CVD mortality. TyG-related indices performed well in predicting all-cause and CVD mortality, especially TyG-WHtR. Sensitivity analyses excluding early deaths, missing covariates, or stratified by age, sex, and smoking confirmed the main findings.

conclusionTyG-related indices showed significant associations with all-cause and CVD mortality among patients with COPD, highlighting their potential in predicting long-term COPD prognosis, with TyG-WHtR demonstrating the strongest and most consistent predictive value.

Indexed as

Blood GlucoseCardiovascular DiseasesPulmonary Disease, Chronic ObstructiveTriglyceridesAgedBiomarkersBody Mass IndexCause of DeathFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUnited KingdomBiomarkersBlood GlucoseTriglyceridesAll-cause mortalityCOPDCVD mortalityTyG-related indices

Identifiers

PMID41310661
PMCPMC12849583

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.