Evidence map›Paper›PMID 39804449›Full record

ArticleEuropean journal of epidemiology2025

Association between preconception and early pregnancy exposure to fine particulate matter and nervous system anomalies: a nested case-control study.

Bao-Ru Chuang, Chung-Chin Lee, Yu-Ting Lin, Chau-Ren Jung, Mei-Ling Chen, Bing-Fang Hwang

Abstract read
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In one paragraph

Article in European journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Bao-Ru Chuang *Department of Occupational Safety and Health, College of Public Health, China Medical University, No. 100, Section 1, Economic and Trade Road, Beitun District, Taichung, 406040, Taiwan, Republic of China.
Chung-Chin LeeDepartment of Occupational Safety and Health, College of Public Health, China Medical University, No. 100, Section 1, Economic and Trade Road, Beitun District, Taichung, 406040, Taiwan, Republic of China.
Yu-Ting Lin *Department of Biomedical Informatics, College of Medicine, China Medical University, Taichung, Taiwan.
Chau-Ren JungDepartment of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.
Mei-Ling ChenDepartment of English for Global Communication, HungKuang University, Taichung, Taiwan, Republic of China. mlchen@hk.edu.tw.
Bing-Fang HwangDepartment of Occupational Safety and Health, College of Public Health, China Medical University, No. 100, Section 1, Economic and Trade Road, Beitun District, Taichung, 406040, Taiwan, Republic of China. bfhwang@mail.cmu.edu.tw.ORCID http://orcid.org/0000-0002-5951-9662

Funding

Clinical Trial Center, China Medical University Hospital CMU110-MF-58Clinical Trial Center, China Medical University Hospital CMU111-MF-55Clinical Trial Center, China Medical University Hospital CMU112-MF-91National Science and Technology Council MOST 111-2121-M-039-001National Science and Technology Council NSTC 112-2121-M-039-002
6 · The paper itself

Abstract

Although several environmental factors may increase the risk of nervous system anomalies, the association between exposure to particulate matter with an aerodynamic diameter of ≤ 2.5 μm (PM

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureMaternal ExposureNervous System MalformationsParticulate MatterAdultCase-Control StudiesFemaleHumansPregnancyRisk FactorsTaiwanAir PollutantsParticulate MatterNervous system anomaliesNested case-control studyNeural tube defectsPM2.5Preconception exposureSatellite-based estimation model

Identifiers

PMID39804449

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.