Evidence map›Paper›PMID 39958618›Full record

ArticleTobacco induced diseases2025

Examining the relationship between secondhand smoke and non-malignant digestive system diseases: Mendelian randomization evidence.

Yujun Yu, Yongyun Jin

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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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

2 authors.

Yujun YuDepartment of Colorectal Surgery, Hangzhou Red Cross Hospital, Hangzhou, China.
Yongyun JinDepartment of Colorectal Surgery, Hangzhou Red Cross Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSecondhand smoke (SHS) may exacerbate the global disease burden, particularly in workplace settings. Observational studies have implicated SHS as a risk factor for various non-malignant digestive system diseases (NMDSD), yet establishing a causal relationship remains challenging. Therefore, we conducted a Mendelian randomization (MR) study to explore whether workplace exposure to SHS is associated with NMDSD.

methodsThis study utilized a secondary dataset analysis based on Genome-Wide association study (GWAS) summary data. Genetic variants associated with exposure to SHS in the workplace were used as instrumental variables. Genome-wide association study (GWAS) summary data for SHS were obtained from the UK Biobank. GWAS summary data for NMDSD were sourced from the FinnGen study, the International Inflammatory Bowel Disease Genetics Consortium (IIBDGC), and a large-scale study conducted in Japan. We employed inverse variance-weighted (IVW), MR-Egger, and weighted median methods for MR analysis. Additionally, sensitivity analyses were conducted to ensure the robustness of our findings.

resultsAccording to the IVW model, SHS in the workplace was positively associated with ulcerative colitis (UC) (OR=2.03; 95% CI: 1.03-4.05; p=0.04). There was no evidence of horizontal pleiotropy biasing causality (p>0.05), and leave-one-out analysis confirmed the stability and robustness of this association.

conclusionsOur study identifies an association between regular exposure to SHS in the workplace and an increased risk of ulcerative colitis. However, the potential influence of active smoking or exposure to SHS from other sources cannot be excluded. Further research is needed to confirm these findings.

Indexed as

Mendelian randomizationnon-malignant digestive system diseasessecondhand smokeulcerative colitis

Identifiers

PMID39958618
PMCPMC11826309

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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.