Evidence map›Paper›PMID 40770788›Full record

ArticleJournal of health, population, and nutrition2025

Associations between serum lipid profiles and the incidence of chronic obstructive pulmonary disease in the UK Biobank.

Mengxia Li, Bingqing Xu, Hao Yu, Yanan Wan, Zheng Zhu, Pengfei Luo, Jian Su, Jinyi Zhou, Xikang Fan

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Mengxia Li *Department of Non-Communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Bingqing Xu *Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Hao YuDepartment of Non-Communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Yanan WanDepartment of Non-Communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Zheng ZhuDepartment of Non-Communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Pengfei LuoDepartment of Non-Communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Jian SuDepartment of Non-Communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
Jinyi Zhou *Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. zhoujinyi74@sina.com.
Xikang Fan *Department of Non-Communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China. xikangfan1991@jscdc.cn.

Funding

Jiangsu Provincial Health Commission Medical Research Project H2023022Jiangsu Provincial Health Commission Medical Research Project K2023072
6 · The paper itself

Abstract

objectiveTo investigate the relationship between serum lipid levels and the risk of Chronic obstructive pulmonary disease (COPD) in the UK Biobank.

methodsWe performed this prospective study in 381,938 adults without COPD from UK Biobank. Serum high-density cholesterol (HDL-C), low-density cholesterol (LDL-C), total cholesterol (TC), triglyceride (TG), apolipoprotein A (ApoA) and apolipoprotein B (ApoB) were measured and classified into quintiles. Restricted cubic spline (RCS) analysis was applied to visualize the dose-response relationship between lipids and COPD risk and Cox proportional hazard models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs).

resultsWe documented 10,443 incident COPD cases. Nonlinear relationships were found between HDL-C, LDL-C, TC, ApoA, ApoB and COPD risk with RCS analysis (P values for non-linearity < 0.05). Accordingly, multivariable-adjusted regression analysis indicated abnormal HDL-C and ApoA, and low LDL-C, TC and ApoB were associated with increased risk of COPD. Compared to intermediate quintile (Q3) group, both high or low HDL-C and ApoA were associated with risk of COPD. Corresponding HRs (95% CIs) were 1.15 (1.08-1.22), 1.16 (1.09-1.23) in Q1 group and 1.08 (1.01-1.16), 1.07 (1.00-1.14) in Q5 group. For LDL-C, TC and ApoB, there were more than 29% higher risk was observed in Q1 group with HRs (95% CIs) of 1.34 (1.27-1.42), 1.38 (1.30-1.46) and 1.29 (1.21-1.37), while HRs (95% CIs) were 0.88 (0.83-0.94), 0.92 (0.86-0.98) and 0.90 (0.84-0.95) in Q5 groups. We also observed the interactions between specific lipids and age at recruitment, sex and smoking status with stratified analysis.

conclusionsOur study provides the first evidence demonstrating the associations between six major serum lipids and COPD risk, revealing multiple nonlinear relationships. There were U-shaped associations between serum HDL-C, ApoA and COPD risk, and L-shaped associations between LDL-C, TC, ApoB and COPD risk.

Indexed as

LipidsPulmonary Disease, Chronic ObstructiveAdultAgedApolipoproteins BBiological Specimen BanksCholesterolCholesterol, HDLCholesterol, LDLFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesApolipoproteins BCholesterolCholesterol, HDLCholesterol, LDLLipidsTriglyceridesChronic obstructive pulmonary diseaseIncidenceProspective cohort studySerum lipidsUK biobank

Identifiers

PMID40770788
PMCPMC12330189

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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.