Evidence map›Paper›PMID 36851046›Full record

ArticleToxics2023

Causal Associations of PM2.5 and GDM: A Two-Sample Mendelian Randomization Study.

Yi Yang, Xianli Ma, Weiyi Pang, Caina Jiang

Abstract read
In one paragraph

Article in Toxics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Frontiers in cell and developmental biology · 2026
    Article
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  3. Article
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  5. The impact of PMBMC public health · 2024
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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

4 authors.

Yi YangGuangxi Engineering Research Center for Pharmaceutical Molecular Screening and Druggability Evaluation, Guilin Medical University, Guilin 541199, China.ORCID 0000-0002-8247-7042
Xianli MaGuangxi Engineering Research Center for Pharmaceutical Molecular Screening and Druggability Evaluation, Guilin Medical University, Guilin 541199, China.
Weiyi PangGuangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guilin Medical University, Guilin 541199, China.
Caina JiangGuangxi Engineering Research Center for Pharmaceutical Molecular Screening and Druggability Evaluation, Guilin Medical University, Guilin 541199, China.

Funding

Guangxi Science and Technology Base and Talent Special Project AD18050005The Open Project Program of Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University 2022-GKLEH-08
6 · The paper itself

Abstract

Epidemiological studies have linked particulate matter (PM2.5) to gestational diabetes mellitus (GDM). However, the causality of this association has not been established; Mendelian randomization was carried out using summary data from genome-wide association studies (GWAS). For the analysis of the causal relationship between PM2.5 and GDM, the inverse variance weighted (IVW) method was used. The exposure data came from a GWAS dataset of IEU analysis of the United Kingdom Biobank phenotypes consisting of 423,796 European participants. The FinnGen consortium provided the GDM data, which included 6033 cases and 123,000 controls. We also performed multivariate MR (MVMR), adjusting for body mass index (BMI) and smoking. As a result, we found that each standard deviation increase in PM2.5 is associated with a 73.6% increase in the risk of GDM (OR: 1.736; 95%CI: 1.226-2.457). Multivariable MR analysis showed that the effect of PM2.5 on GDM remained after accounting for BMI and smoking. Our results demonstrate a causal relationship between PM2.5 and GDM.

Indexed as

air pollutioncausalitygestational diabetes mellitusMRrisk factor

Identifiers

PMID36851046
PMCPMC9961059

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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.