Evidence map›Paper›PMID 40589826›Full record

ArticleFrontiers in public health2025

Association of exposure to PM

Mengdan Liang, Liping Qiu, Biyun Lin, Zhehui Chen, Xiannuan Jiang, Mengying Xie, Xiaowei Xie, Hanbing Chen, Xiongkun He, Xiaoxiao Huang and 6 more

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

16 authors.

Mengdan Liang *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Liping Qiu *The Collaboration Unit for State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Health Commission Key Laboratory of Pathogenic Diagnosis and Genomics of Emerging Infectious Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, China.
Biyun Lin *Department of Neonatal Intensive Care Unit, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Zhehui ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Xiannuan JiangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Mengying XieThe Second Clinical Medical School, Nanchang University, Nanchang, China.
Xiaowei XieDepartment of Urology, Harbin Medical University Cancer Hospital, Harbin, China.
Hanbing ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Xiongkun HeDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Xiaoxiao HuangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Liang LuThe Collaboration Unit for State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Health Commission Key Laboratory of Pathogenic Diagnosis and Genomics of Emerging Infectious Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, China.
Lanlan ZhangHospital-Acquired Infection Control Department, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Hongjie QiuDepartment of Medical Imaging, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Yihong ChenDepartment of Obstetrics and Gynecology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Junqi WuDepartment of Laboratory Medicine, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Xiaoxu XieDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Exposure to PM Methods: Here, we investigated this relationship using data from 6090 pregnant women, estimating exposure to 11 PM Results: Exposure to Al, Cd, Pb, Cr, Ni, Se, and Tl increased PROM risk, with hazard ratios ranging from 1.40 to 1.87. As and Mn were also correlated with PROM during specific trimesters. The GWQS model showed a 3% increased risk of PROM with metal mixture exposure (95% CI: 2%, 4%), mainly driven by Pb in the positive direction. The Q-gcomp model revealed a 5% increased risk (95% CI: 2%, 8%), also primarily due to Pb. In the BKMR model, Ni had the highest influence. Conclusion: Both individual metals and metal mixtures were associated with PROM, with Pb, Se, and Tl positively correlated with preterm PROM.

Indexed as

Air PollutantsEnvironmental ExposureMaternal ExposureMetalsParticulate MatterPremature Rupture of Fetal MembranesAdultFemaleHumansPregnancyProspective StudiesAir PollutantsMetalsParticulate Matterair pollutionmetalmixtureparticulate matterpremature rupture of membranes

Identifiers

PMID40589826
PMCPMC12207744

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.