Evidence map›Paper›PMID 41053749›Full record

ArticleLipids in health and disease2025

The joint effect of triglyceride-glucose index and C-reactive protein levels on the risk of chronic obstructive pulmonary disease: a prospective cohort study.

Jialiu He, Mengxia Li, Pengfei Luo, Zheng Zhu, Jian Su, Ran Tao, Jinyi Zhou, Ming Wu, Xikang Fan

Abstract read
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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.

Jialiu HeDepartment of Epidemiology and Health Statistics, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China.
Mengxia LiJiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Pengfei LuoJiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Zheng ZhuJiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Jian SuJiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Ran TaoJiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Jinyi ZhouJiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Ming WuDepartment of Epidemiology and Health Statistics, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China. jswuming@vip.sina.com.
Xikang FanJiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China. xikangfan1991@jscdc.cn.

Funding

Jiangsu Provincial Health Commission Medical Research Project Approval H2023022the grant from Key Project of Medical Science Research of Jiangsu Provincial Health Commission K2023072
6 · The paper itself

Abstract

backgroundThe triglyceride-glucose index (TyG) and C-reactive protein (CRP) are key biomarkers on clinical diagnosis, each related to lung dysfunction. However, the relationship of both indexes with the risk of chronic obstructive pulmonary disease (COPD) is still unclear. This study purposes to focus on the individual and joint associations of TyG and CRP levels with COPD risk.

methodsThis cohort study utilized baseline TyG and CRP data from the UK Biobank. Hazard ratios (HRs) and 95% confidence intervals (CIs) for COPD risk associated with TyG and CRP levels were calculated through Cox regression models. Receiver operating characteristic (ROC) curves were conducted to determine the optimal cut-off values for TyG and CRP, which were combined into a joint variable. Kaplan-Meier (KM) method was utilized to analyze cumulative hazard, while joint analysis was employed for evaluating the joint risk. Stratified and sensitivity analyses were also performed to assess the associations within subgroups, and mediation effect of TyG on COPD risk via CRP levels was assessed.

resultsThis study enrolled 385,523 individuals, with 10,515 COPD cases were recorded in follow-up. Compared to the lowest quintile, individuals with higher TyG and CRP had increased risk of COPD (all HRs > 1.00). The optimal cut-off values of TyG and CRP were 7.14 and 1.88 mg/L, and we found that the simultaneous elevation of both TyG and CRP significantly increased the risk of COPD. Moreover, the joint effect was stronger in participants younger than 60 years old, males, smokers or passive smokers, those with body mass index (BMI) < 25.0 kg/m

conclusionsThese results underscored the individual and joint effects of TyG and CRP upon COPD risk, indicating their usefulness as biomarkers for early risk assessment.

Indexed as

Blood GlucoseC-Reactive ProteinPulmonary Disease, Chronic ObstructiveTriglyceridesAdultAgedBiomarkersFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsROC CurveBiomarkersBlood GlucoseC-Reactive ProteinTriglyceridesC-creative proteinChronic obstructive pulmonary diseaseJoint effectTriglyceride-glucose index

Identifiers

PMID41053749
PMCPMC12502271

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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.