Evidence map›Paper›PMID 41148138›Full record

ArticleJAMA network open2025

A Hypothetical PM2.5 Intervention for the Risk of Hospitalization for Cardiovascular Diseases.

Chengyi Lin, Lingzhi Chu, Riyang Liu, Antonio Gasparrini, Andrew T DeWan, Laura Forastiere, Kai Chen

Abstract read
In one paragraph

Article in JAMA network open, 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. When air gets heavy: joint PMFrontiers in public health · 2026
    Article
  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

7 authors.

Chengyi LinDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.
Lingzhi ChuDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.
Riyang LiuYale Center on Climate Change and Health, Yale School of Public Health, New Haven, Connecticut.
Antonio GasparriniEnvironment & Health Modelling Laboratory, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Andrew T DeWanYale Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Connecticut.
Laura ForastiereDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Kai ChenDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: There is limited direct evidence of the effects of policies regarding ambient particulate matter with an aerodynamic diameter of 2.5 µm or less (PM2.5) on the risk of hospitalization for cardiovascular diseases (CVD). This evidence is essential for estimating the benefits of meeting specific PM2.5 standards in the regulatory impact analysis. Objective: To estimate the association of strengthening ambient PM2.5 standards with the risk of hospitalization for major CVD outcomes. Design, Setting, and Participants: This population-based study used data from the UK Biobank cohort and followed up the participants from January 1, 2015, to December 31, 2019. All participants were 60 years or older and had no history of hospitalization with a primary diagnosis of a specific CVD at baseline. Data were analyzed from August 1, 2022, to August 25, 2025. Exposures: Annual mean PM2.5 exposure was assigned based on a 1 × 1-km2 resolution PM2.5 model linked to participants' residential locations. Main Outcomes and Measures: The main outcomes were the first hospitalization with a primary diagnosis of stroke, myocardial infarction, heart failure, or arrhythmia. Longitudinal targeted maximum likelihood estimation was used to estimate 5-year hospitalization risks under hypothetical PM2.5 interventions. Results: Among the 502 133 UK Biobank participants recruited from 2006 to 2010 (273 158 [54.4%] female), 307 202 participants met the eligibility criteria for stroke, 304 212 for myocardial infarction, 310 100 for heart failure, and 302 255 for arrhythmia. The median age was 68.0 (IQR, 64.6-71.5) years for stroke, myocardial infarction, and arrhythmia, 68.0 (IQR, 64.7-71.5) years for heart failure, with female participants ranging from 54.4% to 55.0% across cohorts. Compared with no intervention on PM2.5, implementing a stricter ambient PM2.5 standard would reduce the absolute risk of hospitalization for major CVD. It was estimated that for the hypothetical PM2.5 intervention of reducing PM2.5 exposure by 5% if it is above the threshold of 9 µg/m3, the estimated 5-year risk difference of hospitalization for stroke was -2.26 per mille (95% CI, -8.97 to -20.64 per mille); for myocardial infarction, -8.64 per mille (95% CI, -9.16 to -6.38 per mille); for heart failure, -3.20 per mille (95% CI, -4.16 to -1.25 per mille); and for arrythmia, -4.16 per mille (95% CI, -12.70 to 12.93 per mille). For the hypothetical PM2.5 intervention of reducing PM2.5 exposure by 5% if it is above the threshold of 12 µg/m3, the estimated 5-year risk difference of hospitalization for stroke was -1.54 per mille (95% CI, -2.21 to 0.73 per mille). However, the reduction in risk for arrhythmia was not statistically significant (-2.06 per mille [95% CI, -4.79 to 3.12 per mille]). Conclusions and Relevance: In this cohort study using data from the UK Biobank, the absolute risk reduction of hospitalization for stroke, myocardial infarction, heart failure, and arrhythmia due to hypothetical ambient PM2.5 interventions was quantified. The findings suggest the beneficial cardiovascular health impacts of further strengthening the current PM2.5 regulations in the United Kingdom.

Indexed as

Air PollutantsAir PollutionCardiovascular DiseasesEnvironmental ExposureHospitalizationParticulate MatterAgedFemaleHumansMaleMiddle AgedRisk AssessmentUnited KingdomAir PollutantsParticulate Matter

Identifiers

PMID41148138
PMCPMC12569718

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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.