Evidence map›Paper›PMID 39925481›Full record

ArticleEco-Environment & Health2025

Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study.

Yudiyang Ma, Ying Hui, Linxi Tang, Jianing Wang, Meiqi Xing, Lei Zheng, Feipeng Cui, Shuohua Chen, Shouling Wu, Zhenchang Wang and 1 more

Abstract read
In one paragraph

Article in Eco-Environment & Health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

11 authors.

Yudiyang MaMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Ying HuiDepartment of Medical Imaging, Kailuan General Hospital, Tangshan 063000, China.
Linxi TangMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Jianing WangMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Meiqi XingMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Lei ZhengMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Feipeng CuiMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Shuohua ChenDepartment of Medical Imaging, Kailuan General Hospital, Tangshan 063000, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan 063000, China.
Zhenchang WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Yaohua TianMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral small vessel disease (CSVD), a chronic and progressive vascular disorder closely associated with stroke and dementia, is primarily identified and diagnosed in cranial magnetic resonance imaging (MRI). Given the limited evidence on the relationship between air pollution and CSVD, this study aimed to investigate the links between multiple air pollutants exposure and CSVD risk. Eligible subjects and their cranial MRI data were obtained from the Multi-modality Medical Imaging Study Based on Kailuan Study, totaling 1216 participants. Ordinal and binary logistic regression models were utilized to evaluate the associations between air pollution exposure and the neuroimaging markers of CSVD. For each interquartile range increase in air pollutant exposure during the examination year, the odds ratios and 95% confidence intervals of the increased white matter hyperintensity burden were 1.45 (1.15, 1.84) for PM

Indexed as

Air pollutionCerebral small vessel diseaseNeuroimaging features

Identifiers

PMID39925481
PMCPMC11803214

What OpenQuestion holds

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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.