Evidence map›Paper›PMID 42138835›Full record

ArticleArquivos brasileiros de cardiologia2026

A Two-sample Mendelian Randomization Study of Air Pollution/Smoking and Cardiac Arrest

Xuelin Tian, Yu Wang, Qingzhao Tan, Liying Liu

Abstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xuelin TianZhongshan Hospital Xiamen University, Xiamen - China.
Yu WangXiamen University - Department of Emergency, Xiamen - China.ORCID 0009-0001-9894-7141
Qingzhao TanZhongshan Hospital Xiamen University, Xiamen - China.
Liying LiuZhongshan Hospital Xiamen University, Xiamen - China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObservational studies have suggested a connection between air pollution/smoking and cardiac arrest (CA); nevertheless, the causal role of air pollution/smoking in CA remains uncertain.

objectivesThis study aimed to elucidate the causal association between air pollution/smoking and CA using a two-sample Mendelian randomization (MR) approach.

methodsThis study utilized summary data from genome-wide association studies (GWAS). The primary analysis employed the inverse-variance weighted (IVW) method, supplemented by MR-Egger, weighted median, and weighted mode methods. For sensitivity analysis, MR-Egger and MR-PRESSO were employed to address horizontal pleiotropy. Cochran's Q test was used to assess heterogeneity, and leave-one-out analysis was applied to identify the influence of outliers. A two-sided p-value < 0.05 was considered statistically significant for the causal estimates.

resultsIVW method showed a significant association between smoking status and CA (OR = 2.182, 95% CI: 1.137 - 4.188, p = 0.019). No significant causal associations were found for any of the air pollution metrics or other smoking-related traits. Results of MR Egger and weighted median methods revealed an insignificant causal association between air pollution/smoking and CA. Horizontal pleiotropy or outliers were not detected by sensitivity tests.

conclusionsFindings of this MR study indicate that smoking has a causal effect on the incidence of developing CA. However, the null findings for air pollution should be interpreted with caution, as the statistical power to detect modest effects was limited. More studies are warranted to verify the outcomes of this study.

Indexed as

Air PollutionHeart ArrestMendelian Randomization AnalysisSmokingGenome-Wide Association StudyHumansRisk Factors

Identifiers

PMID42138835
PMCPMC13128207

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