Evidence map›Paper›PMID 41211194›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2025

Effects of Diabetes Mellitus and Glycemic Traits on COPD and Pulmonary Function Traits: Insights From Mendelian Randomization and NHANES.

Na Wang, Guangdong Wang, Tingting Liu, Wenwen Ji, Mengcong Li, Tingting Li, Tinghua Hu, Zhihong Shi

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 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

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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. Review
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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

8 authors.

Na WangDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Guangdong WangDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Tingting LiuDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.ORCID 0000-0003-1109-4404
Wenwen JiDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Mengcong LiDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Tingting LiDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Tinghua HuDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Zhihong ShiDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This two-sample Mendelian randomization (MR) analysis and study based on the National Health and Nutrition Examination Survey (NHANES) aimed to evaluate the effects of diabetes mellitus and glycemic traits on chronic obstructive pulmonary disease (COPD) and pulmonary function traits. Patients and Methods: Utilizing a two-sample MR analysis and NHANES data (2007-2012), this study investigated the associations of diabetes and glycemic traits with COPD and pulmonary function traits. Exposures included type 1 (T1DM) and type 2 diabetes (T2DM), fasting glucose (FGlu), fasting insulin (FIns), glycated hemoglobin (HbA1c), and 2-hour glucose (2hGlu). Outcomes included COPD, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), the FEV1/FVC ratio, and peak expiratory flow (PEF). The MR analysis employed inverse variance weighted (IVW) and weighted median methods. Multivariate logistic regression and linear regression were used to evaluate the associations, adjusting for age, gender, race, body mass index (BMI), and blood cholesterol in the NHANES database. Results: MR analyses (IVW results) indicated significant causal relationships between T1DM and COPD, and FEV1/FVC ratio (OR = 1.023, 95% CI = 1.012 to 1.034, P < 0.0001; beta = -0.0075, 95% CI = -0.0122 to -0.0028, P = 0.0018, respectively). T2DM also exhibited significant causal associations with FVC and FEV1/FVC ratio (beta = -0.0330, 95% CI = -0.0448 to -0.0212, P < 0.0001; beta = 0.0172, 95% CI = 0.0065 to 0.0279, P = 0.0016). 2hGlu showed a significant causal relationship with FEV1/FVC ratio (beta = 0.0472, 95% CI = 0.0089 to 0.0856, P = 0.0159). A total of 389 participants were enrolled in this study (unweighted), with a weighted sample size of 6324845, based on the NHANES database. Multivariate logistic regression revealed no statistically significant association between diabetes, glycemic traits, and COPD. Multivariate linear regression indicated that a 2.7-fold increase in HbA1c levels was negatively correlated with declines in FEV1 (42.56%), FVC (34.92%), and PEF (37.77%). Conclusion: This study demonstrated the impact of diabetes and glycemic traits on COPD and lung function traits, highlighting important clinical implications.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2LungPulmonary Disease, Chronic ObstructiveAdultAgedBiomarkersFemaleForced Expiratory VolumeGlycated HemoglobinHumansInsulinLinear ModelsLogistic ModelsMaleMendelian Randomization AnalysisBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanInsulinCOPDglycemicmellitusMendelian randomizationNHANESpulmonary function

Identifiers

PMID41211194
PMCPMC12595987

What Socratic holds

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LicenceCC BY-NC
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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.