Evidence map›Paper›PMID 39314792›Full record

ArticleFrontiers in public health2024

Causal effects of air pollutants on lung function and chronic respiratory diseases: a Mendelian randomization study.

Xuannian Li, Suqi Liu, Nan Jiang, Fei Xu, Huaman Liu, Xinhua Jia

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Xuannian LiThe First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Suqi LiuThe First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Nan JiangThe First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Fei XuDepartment of Geriatric Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Huaman LiuDepartment of General Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Xinhua JiaDepartment of Pneumology and Critical Care Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Our study aims to clarify the causality between air pollutants and lung function, chronic respiratory diseases, and the potential mediating effects of inflammatory proteins. Method: We employed Mendelian Randomization (MR) analysis with comprehensive instrumental variables screening criteria to investigate the effects of air pollutants on lung function and chronic lung diseases. Our study incorporated genetic instruments for air pollutants, ensuring Result: MR analysis demonstrated significant causal interactions of particulate matter 2.5 (PM Conclusion: Our study ascertained the causal correlations of air pollutants with lung function and COPD, emphasizing the importance of reducing air pollution. Interleukin-17A mediates the reduction of FEV

Indexed as

Air PollutantsMendelian Randomization AnalysisParticulate MatterAir PollutionChronic DiseaseEnvironmental ExposureForced Expiratory VolumeHumansMaleNitrogen DioxideRespiratory Function TestsRespiratory Tract DiseasesAir PollutantsNitrogen DioxideParticulate Matterair pollutionchronic respiratory diseasesinflammatory proteinslung functionMendelian randomization

Identifiers

PMID39314792
PMCPMC11416934

What OpenQuestion holds

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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 OpenQuestion graph.