Evidence map›Paper›PMID 41446522›Full record

ArticleFrontiers in public health2025

Associations between weekly maternal exposure to ambient particulate matter and congenital heart disease.

Sun Li, Shao Yan, Gong Tian, Peng Xiaoju, Zhou Fanjie, Wu Qianlan

Abstract read
In one paragraph

Article in Frontiers in 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
0cells of the map it votes in
0citing 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

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

6 authors.

Sun LiSuzhou Municipal Hospital, Suzhou Women and Childrens Health Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Shao YanSuzhou Municipal Hospital, Suzhou Women and Childrens Health Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Gong TianSuzhou Municipal Hospital, Suzhou Women and Childrens Health Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Peng XiaojuSuzhou Municipal Hospital, Suzhou Women and Childrens Health Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Zhou FanjieSuzhou Municipal Hospital, Suzhou Women and Childrens Health Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Wu QianlanSuzhou Municipal Hospital, Suzhou Women and Childrens Health Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between maternal exposure to air pollution and congenital heart diseases (CHDs) has garnered increasing attention. However, investigations into critical weekly specific exposure windows for CHDs remain limited. This study evaluated the relationship between maternal ambient particulate matter exposure throughout the entire pregnancy period and the risk of CHDs, as well as explored critical weekly specific exposure windows. Method: Based on the Jiangsu Maternal and Child Health Monitoring Manual and the Environmental Health Department of Suzhou CDC, 19,914 pregnant women with complete hospital delivery records between 2021 and 2023 were included, and the concentration data for five air pollutants (PM Results: A 10 μg/m Conclusion: Our study results demonstrate that exposure to high concentrations of PM

Indexed as

Air PollutantsAir PollutionHeart Defects, CongenitalMaternal ExposureParticulate MatterAdultChinaFemaleHumansPregnancyAir PollutantsParticulate Matterambient particulate mattercongenital heart defectsgestational exposuresusceptible exposure windowsSuzhou

Identifiers

PMID41446522
PMCPMC12722514

What OpenQuestion holds

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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.