Evidence map›Paper›PMID 40742516›Full record

ArticleJournal of endocrinological investigation2025

Identifying the impact and critical windows of extreme temperatures on the risk of gestational diabetes mellitus in twin pregnancies.

Yun-Ren Pan, Wei-Zhen Tang, Wei-Ze Xu, Ying-Xiong Wang, Li Wen, Yong-Heng Wang, Cheng-Zhi Hu, Shu-Juan Luo, Ya Chen, Chen-Yang Liu and 5 more

Abstract read
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In one paragraph

Article in Journal of endocrinological investigation, 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

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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

15 authors.

Yun-Ren Pan *Department of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, 400016, China.
Wei-Zhen Tang *Department of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, 400016, China.
Wei-Ze XuDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, 400016, China.
Ying-Xiong WangDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, 400016, China.
Li WenDepartment of Obstetrics, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China.
Yong-Heng WangDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, 400016, China.
Cheng-Zhi HuFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, 430074, China.
Shu-Juan LuoDepartment of Obstetrics, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China.
Ya ChenDepartment of Obstetrics, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China.
Chen-Yang LiuDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, 400016, China.
Si-Ning ChenDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, 400016, China.
Zhe-Ming KangDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, 400016, China.
Lan WangDepartment of Obstetrics, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China. wanglan120@outlook.com.
Qin-Yu CaiDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, 400016, China. cqmucaiqy@stu.cqmu.edu.cn.
Tai-Hang LiuDepartment of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, 400016, China. liuth@cqmu.edu.cn.

Funding

Natural Science Foundation of Chongqing CSTB2023NSCQ-MSX0384Natural Science Foundation of Chongqing CSTB2024NSCQ-MSX0706The National Key Research and Development Program of China 2023YFC2705900
6 · The paper itself

Abstract

Extreme temperature events have become more frequent due to industrialization, urbanization, and climate change, leading to health risks. Women with twin pregnancies are particularly vulnerable, yet research on how these temperatures affect gestational diabetes mellitus (GDM) remains limited. This study investigates the impact of extreme temperatures on GDM incidence in twin pregnancies, focusing on identifying critical periods of susceptibility. Data from 3,769 twin pregnancies were analyzed using temperature information from local meteorological stations. Extreme temperatures, defined as heat waves and cold spells, were categorized by daily maximum, minimum, and mean temperatures. The relationship between the frequency and duration of these events and GDM risk was evaluated through multivariable logistic regression, while a distributed lag nonlinear logistic model assessed temperature impacts across gestational weeks. Results from 1,063 GDM cases revealed significant differences in incidence across screening temperatures. GDM risk increased with days exceeding the 90th percentile temperature in the four weeks prior to screening, as well as with the frequency of cold spells and heatwaves earlier in pregnancy. Both high and low extreme temperatures during specific gestational weeks were associated with higher GDM risk, suggesting these factors should be considered in preventive strategies for twin pregnancies.

Indexed as

Cold TemperatureDiabetes, GestationalExtreme HeatHot TemperaturePregnancy, TwinAdultFemaleHumansIncidencePregnancyRisk FactorsClimate changeDiurnal temperature rangeGestational diabetes mellitusTemperature extremesTwin pregnancy

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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.