Evidence map›Paper›PMID 40629394›Full record

Trial reportParticle and fibre toxicology2025

Impacts of subway air particles on healthy adults: a randomized controlled trial in a Chinese city.

Yuan Sun, Yuting Xiang, Yuwei Chen, Dan Xu, Tianyun Wang, Fanmei Zeng, Yu Bao, Luwei Zhao, Yifei Li, Qing Xia and 6 more

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Particle and fibre toxicology, 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.

Yuan SunDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Yuting XiangDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Yuwei ChenDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Dan XuDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Tianyun WangDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Fanmei ZengDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Yu BaoDepartment of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Luwei ZhaoDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Yifei LiDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Qing XiaDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Ye DengDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Jiamei ChenDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Yuting WangDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Wen PengDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Guanhua PangDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China.
Miao HeDepartment of Environmental Physical Factors and Health, School of Public Health, China Medical University, 77th, Puhe Road, Shenyang, 110122, Liaoning, China. mhe@cmu.edu.cn.

Funding

National Natural Science Foundation of China 42077396
6 · The paper itself

Abstract

backgroundSubway systems reduce traffic congestion, air pollution, and carbon dioxide emissions in cities but the impacts of subway air pollution on the health of subway users remain obscure. We conducted a randomized controlled trial involving 83 healthy adults, with 80 included in the final analysis, randomly grouped to spend 2 h daily for 5 consecutive days either in an office or on a subway platform. The fine (PM

resultsThe subway platform exhibited significantly high pollutant levels, with mean PM

conclusionsThis study provides the first evidence that repeated exposure to subway airborne particles is associated with reduced lung function and increased respiratory and systemic inflammation in healthy adults. Our results underscore the need to develop strategies to mitigate exposure risks, ultimately protecting public health in urban environments.

Indexed as

Air PollutantsInhalation ExposureLungParticulate MatterRailroadsAdultBiomarkersChinaCitiesFemaleHumansMaleMiddle AgedNitric OxideOxidative StressParticle SizeAir PollutantsBiomarkersNitric OxideParticulate MatterHealth impactsInflammationOxidative stressParticulate matterSubway

Identifiers

PMID40629394
PMCPMC12235793

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.