Evidence map›Paper›PMID 41057567›Full record

SynthesisCardiovascular toxicology2025

Effects of PM2.5 Reduction Interventions on Cardiovascular Indicators: A Meta-analysis.

Qin Liu, Fenglin Xu, Ping Zhang, Xi Zheng, Fanying Xiang, Shunqing Luo, Shenying Fang, Xizhou An, Yang Bi, Jingyu Chen and 3 more

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Cardiovascular toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Qin Liu *Department of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China.
Fenglin Xu *Department of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China.
Ping Zhang *Department of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China.
Xi ZhengDepartment of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China.
Fanying Xiang *Department of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China.
Shunqing LuoDepartment of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China.
Shenying FangSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
Xizhou AnDepartment of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China.
Yang BiDepartment of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China.
Jingyu ChenDepartment of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China.
Yang GaoDepartment of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China.
Shihai ZhengDepartment of Transfusion Medicine, Chongqing Liangjiang New Area People's Hospital, Chongqing, 401121, China. 394038438@qq.com.
Xiaohua LiangDepartment of Clinical Epidemiology and Biostatistics of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, 400016, China. xiaohualiang@hospital.cqmu.edu.cn.

Funding

Basic Research Project of Key Laboratory of Ministry of Education of China in 2021 GBRP-202106Intelligent Medicine Project ZHYX202109Major Health Project of Chongqing Science and Technology Bureau CSTC2021jscx-gksb-N0001National Clinical Research Center for Child Health and Disorders NCRCCHD-2022-GP-01Program for Youth Innovation in Future Medicine from Chongqing Medical University W0088the Natural Science Foundation Project 82373590
6 · The paper itself

Abstract

Exposure to fine particulate matter (PM2.5) is associated with adverse cardiovascular outcomes, but the effectiveness of individual-level interventions to reduce exposure remains unclear. This meta-analysis aimed to assess the effects of four distinct categories of PM2.5 interventions on cardiovascular health including high-efficiency particulate air (HEPA) filters, respiratory protective equipment, improved cookstoves, and other behavioral PM2.5 reduction methods. We systematically searched PubMed, Embase, Web of Science, and the Cochrane library for studies published between December 2002 and March 2025 that reported the cardiovascular effect of PM2.5 reduction. Intervention methods were categorized based on their mechanisms of action and implementation settings. The primary outcomes were systolic blood pressure (SBP) and diastolic blood pressure (DBP), with secondary outcomes including endothelial function indices, heart rate variability (HRV), and inflammatory markers. A total of 72 trials involving 6,063 participants (age range: 12.4-82 years) were included. Overall, PM2.5 reduction interventions significantly decreased SBP by 1.97 mmHg (95% CI: -2.89, -1.05) and DBP by 1.08 mmHg (95% CI: -1.80, -0.35). Among secondary outcomes, C-reactive protein (CRP) decreased significantly (MD = -0.03mg/dl, 95% CI: -0.06, -0.00, P = 0.042), while no significant changes were observed in interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), or HRV. Subgroup analyses revealed differential effects by intervention type: Air filtration interventions showed the largest effect on SBP (MD = -1.94mmHg, 95% CI: -3.33, -0.55, P = 0.006) compared to other interventions. These findings suggest that PM2.5 reduction interventions could lower blood pressure and reduce markers of systemic inflammation, indicating that personal-level interventions may provide measurable cardiovascular benefits, even with short-term implementation.

Indexed as

Air PollutantsAir PollutionCardiovascular DiseasesEnvironmental ExposureInhalation ExposureParticulate MatterAdolescentAdultAgedAged, 80 and overAir FiltersBlood PressureChildFemaleHeart Disease Risk FactorsHeart RateAir PollutantsParticulate MatterBlood pressureCardiovascular healthParticulate matterPM2.5 interventions

Identifiers

What OpenQuestion holds

Textmetadata
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.