Evidence map›Paper›PMID 41408610›Full record

ArticleBMC public health2025

Associations of mixed exposure to ambient air pollution and environmental factors with the risk of miscarriage in women undergoing assisted reproductive technology: a retrospective cohort study.

Jiaming Xiao, Hua Fang, Yiqin Chen, Bingbing Wang, Yi Zhang, Qianqian Guo, Ke Xu, Ye He, Yan Sun, Wenxiang Wang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jiaming Xiao *Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou City, Fujian Province, China.
Hua Fang *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou City, Fujian Province, China.
Yiqin Chen *Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou City, Fujian Province, China.
Bingbing WangFujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou City, Fujian Province, China.
Yi ZhangFujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou City, Fujian Province, China.
Qianqian GuoFujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou City, Fujian Province, China.
Ke XuFujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou City, Fujian Province, China.
Ye HeFujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou City, Fujian Province, China. heye@fjmu.edu.cn.
Yan SunCenter of Reproductive Medicine, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou City, Fujian Province, China. sunyanteam@163.com.
Wenxiang WangFujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou City, Fujian Province, China. wangwenxiang@fjmu.edu.cn.

Funding

Major Scientific Research Program for Young and Middle-aged Health Professionals of Fujian Province 2022ZQNZD010National Key Research and Development Program of China 2024YFC2706700National Natural Science Foundation of China 82504418National Natural Science Foundation of China 82574122Natural Science Foundation of Fujian Province 2024J011062Startup Fund for Scientific Research, Fujian Medical University 2021QH2009
6 · The paper itself

Abstract

backgroundPrevious studies have focused on the effects of ambient air pollutant levels on assisted reproduction. This research focused on the combined effects of lower concentrations of air pollutants and multiple environmental factors on miscarriage following assisted reproductive technologies.

methodsA retrospective cohort study involving 2654 women who received treatment at a local hospital between 2015 and 2022 and met the inclusion criteria was conducted. The daily average levels of six pollutants (PM

resultsA significant positive associations were observed between miscarriage and exposure to PM2.5 (aOR = 1.49, 95% CI: 1.08 ~ 2.06), temperature (aOR = 1.36, 95% CI: 1.25 ~ 1.48), UV intensity (aOR = 1.36, 95% CI: 1.21 ~ 1.54). The WQS model revealed a positive correlation between mixed-exposure environmental factors and miscarriage (aOR = 3.65, 95% CI: 1.74 ~ 7.69). The BKMR results indicate that the overall effect of mixed environmental factor exposure from the embryo transfer date on the outcome is positively correlated with the risk of miscarriage. The NDVI, wind speed, surface pressure and UV intensity presented relatively high PIPs. Gene prediction and enrichment revealed that genes associated with environmental factors and miscarriage are associated primarily with immune-inflammatory responses.

conclusionsResults revealed that mixed exposure to air pollutants and environmental factors increases the risk of miscarriage. The analysis further demonstrated that temperature, NDVI, UV intensity, and wind speed could mitigate the impact of air pollutants on miscarriage. However, mixed exposure to these environmental factors still increases the risk of miscarriage. The potential mechanism may involve the influence of environmental factors on miscarriage through an immune‒inflammatory response.

Indexed as

Abortion, SpontaneousAir PollutantsAir PollutionEnvironmental ExposureReproductive Techniques, AssistedAdultChinaFemaleHumansParticulate MatterPregnancyRetrospective StudiesRisk FactorsAir PollutantsParticulate MatterAmbient air pollutionEnvironmental factorsMiscarriageMixed effectsNetwork toxicology

Identifiers

PMID41408610
PMCPMC12709834

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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.