Evidence map›Paper›PMID 40684455›Full record

ArticleAnnals of medicine2025

The impact of extreme air pollution on preterm birth in twin pregnancies: identifying susceptible exposure windows.

Wei-Ze Xu, Wei-Zhen Tang, Qin-Yu Cai, Yun-Ren Pan, Ying-Xiong Wang, Ya Chen, Xia Lan, Hong-Yu Xu, Zi-Heng Zhang, Bo-Yuan Deng and 3 more

Abstract read
In one paragraph

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

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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Wei-Ze XuDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China.
Wei-Zhen TangDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China.
Qin-Yu CaiDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China.
Yun-Ren PanDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China.
Ying-Xiong WangDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China.
Ya ChenDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China.
Xia LanDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China.
Hong-Yu XuDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China.
Zi-Heng ZhangDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China.
Bo-Yuan DengDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China.
Li WenDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China.
Lan WangDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China.
Tai-Hang LiuDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccelerated industrialization globally has intensified air pollution, but the susceptibility periods for extreme air pollution in twin pregnancies remain undefined.

methodsThis study investigated the association between extreme air pollution exposure and preterm birth risk in twin pregnancies. Data on 3623 twin pregnancies in Chongqing from 2017 to 2022 and air pollution readings from 12 monitoring stations were analyzed using distributed lag non-linear quasi-Poisson regression models. Additionally, four extreme air pollution indices were developed to assess the cumulative effects of lagged exposures on preterm birth risk through multivariate logistic regression.

resultsCompared to the lower quartile, the 95th percentile of extreme air pollution exposure showed a positive correlation between concentrations of PM

conclusionThe study highlights gestational windows of 8-11 and 29-33 weeks as highly sensitive to extreme pollution for preterm birth in twin pregnancies, with marked risk increases during 0-3, 0-6 and 0-9-month lag periods.

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureMaternal ExposurePregnancy, TwinPremature BirthAdultChinaEnvironmental MonitoringFemaleGestational AgeHumansInfant, NewbornOzoneParticulate MatterPregnancyAir PollutantsOzoneParticulate MatterSulfur Dioxideair pollutioncumulative effectdistributed lag modelpreterm birthsusceptible exposure windowTwin pregnancy

Identifiers

PMID40684455
PMCPMC12278472

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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.