Evidence map›Paper›PMID 39050738›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2024

Sex Hormones and Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study and Mendelian Randomization Analysis.

Dongru Du, Bi Ran, Dan Xu, Lian Liu, Xueru Hu, Tingting Zeng, Yongchun Shen, Fengming Luo

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2024. 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.

  1. Article
  2. Article
  3. Article
  4. Sex, hormones, and lung health.Physiological reviews · 2026
    Review
  5. Observational
  6. Article
  7. 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

8 authors.

Dongru Du *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Bi Ran *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Dan XuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Lian LiuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Xueru HuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Tingting ZengDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Yongchun ShenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Fengming LuoDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.

Funding

1·3·5 project for disciplines of excellence, West China Hospital, Sichuan University ZYGD23009National Natural Science Foundation of China 82170046, 31871157, AND 81830001
6 · The paper itself

Abstract

Background: Sex steroid hormones, including testosterone and estradiol, play significant roles in various aspects of pulmonary health and diseases. However, although there were a few studies trying to link sex hormones with COPD, their effect remained limited due to small sample size and insufficient causal results. This study aims to investigate the association between sex hormones and chronic obstructive pulmonary disease (COPD) based on the National Health and Nutrition Examination Survey (NHANES) database and evaluate causality via a two-sample Mendelian randomization (MR). Methods: Data from NHANES 2013-2016 were enrolled for the cross-sectional study. The association between sex hormones and COPD was evaluated via multivariable logistic regression. Sex-stratified analysis, subgroup analyses and interaction tests were performed to further evaluate the correlation. For MR analysis, data were collected from genome-wide association studies and FinnGen datasets. The inverse-variance-weighted (IVW) approach, along with four other approaches, was applied in the analysis. Further sensitivity analysis was conducted to assess the existence of pleiotropy and heterogeneity. Results: 7,617 eligible participants were enrolled in the cross-sectional analysis. Negative associations were observed in both testosterone-COPD (OR 0.770, 95% CI 0.626, 0.948, p = 0.018) and estradiol-COPD (OR 0.794, 95% CI 0.688, 0.915, p = 0.005) relationships after covariate adjustments. However, the results from IVW-MR analysis showed that no causal relationship was observed in either the testosterone-COPD (OR 0.83, 95% CI 0.53, 1.29, p = 0.407) or estradiol-COPD (OR 0.74, 95% CI 0.23, 2.38, p = 0.616) relationship, which was also supported by the other four approaches (all p values > 0.05). Conclusion: Although a significant negative association was observed between sex hormones and COPD, the results of MR analysis did not support the causality of this relationship. Our study suggested that sex hormones may indirectly rather than directly affect the development of COPD via potential covariates, which warranted further investigations.

Indexed as

EstradiolGenome-Wide Association StudyMendelian Randomization AnalysisNutrition SurveysPulmonary Disease, Chronic ObstructiveTestosteroneAdultAgedCross-Sectional StudiesDatabases, FactualFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPolymorphism, Single NucleotideEstradiolTestosteronechronic obstructive pulmonary diseaseestradiolMendelian randomizationNHANESsex steroid hormonestestosterone

Identifiers

PMID39050738
PMCPMC11268591

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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.