Evidence map›Paper›PMID 40437115›Full record

ArticleScientific reports2025

A retrospective study on the association of ambient air pollutants and temperature co-exposure with female infertility risk in Chengdu, China.

Kaili Zhang, Wei Chen, Prasanna Divigalpitiya, Shasha Xing, Erdan Luo

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

5 authors.

Kaili ZhangGraduate School of Human-Environment Studies, Kyushu University, Fukuoka, 819-0395, Japan.
Wei ChenSchool of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Prasanna DivigalpitiyaFaculty of Human-Environment Studies, Kyushu University, Fukuoka, 819-0395, Japan.
Shasha XingSchool of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Erdan LuoSchool of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China. luoerdan@sina.cn.

Funding

Chengdu Medical Scientific Research Project 2023004JST SPRING JPMJSP2136Yingcai Scheme, Chengdu Women's and Children's Central Hospital YC2021003Yingcai Scheme, Chengdu Women's and Children's Central Hospital YC2023010
6 · The paper itself

Abstract

Few studies explored air pollution's role in female infertility, especially with temperature factors. Investigating these effects is essential given global climate change and declining fertility rates. This retrospective study, conducted in Chengdu, China, included 1158 patients with primary infertility, 804 patients with secondary infertility, and 1809 fertile women who visited outpatient clinics between 2018 and 2023. Individual exposure levels to six air pollutants and temperatures were determined based on residential addresses. Multinomial logistic regression assessed the associations between air pollutants, temperature, and female infertility across five exposure windows (3-36 months before diagnosis). A stratified analysis by age was performed, and the interactions and combined exposure effects were further evaluated. Exposure to NO

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureInfertility, FemaleTemperatureAdultChinaFemaleHumansMiddle AgedParticulate MatterRetrospective StudiesRisk FactorsAir PollutantsParticulate MatterAir pollutionAmbient exposureFemale infertilityInteractionTemperature

Identifiers

PMID40437115
PMCPMC12119891

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.