Evidence map›Paper›PMID 39997956›Full record

ArticleToxics2025

Air Pollution Exposure and Gestational Diabetes Mellitus Risk: A Retrospective Case-Control Study with Multi-Pollutant Analysis in Wuhan, Hubei Province.

Mengyang Dai, Jianfeng Liu, Min Hu, Feng Zhang, Yanjun Wang, Fangfang Dai, Rui Qu, Zhixiang Fang, Jing Yang

Abstract read
In one paragraph

Article in Toxics, 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

9 authors.

Mengyang DaiReproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Jianfeng LiuThe State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China.ORCID 0009-0004-4507-8909
Min HuDepartment of Gynaecology and Obstetrics, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Feng ZhangReproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0003-0326-5365
Yanjun WangReproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Fangfang DaiReproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Rui QuReproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Zhixiang FangThe State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China.ORCID 0000-0003-1651-878X
Jing YangReproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0002-3286-0772

Funding

National Key Research and Development Program of China 2023YFC2705700the Key Research & Development Program of Hubei Province 2022BCA042
6 · The paper itself

Abstract

Ambient air pollution has been associated with gestational diabetes mellitus (GDM); however, evidence regarding trimester-specific effects from China remains limited. This case-control study study analyzed data from pregnant women who delivered in Wuhan, China, between 2017 and 2022 (164 GDM cases and 731 controls), integrating geographic information, air quality measurements, and maternal characteristics. Using Inverse Distance Weighting interpolation and Generalized Linear Mixed Models (GLMM), we assessed associations between air pollutant exposure and GDM across different gestational periods. Results indicated that NO

Indexed as

air pollutioncase–control studygestational diabetes mellitusnitrogen dioxidepregnancy trimester

Identifiers

PMID39997956
PMCPMC11860625

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.