Evidence map›Paper›PMID 42265622›Full record

ArticleBMC cardiovascular disorders2026

Association between PM

Chaoling Zhang, Qin Zhou, Jiamin Chen, Zhengmin Min Qian, Maya Kavuri, Tom Burroughs, Zhonghua Ai, Shengtao Wei, Weiquan Lin, Zhoubin Zhang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cardiovascular disorders, 2026. 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

12 authors.

Chaoling Zhang *Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
Qin Zhou *Department of Basic Public Health Services, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, China.
Jiamin ChenDepartment of Basic Public Health Services, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, China.
Zhengmin Min QianDepartment of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA.
Maya KavuriDepartment of Biology, College of Arts & Sciences, Saint Louis University, Saint Louis, MO, USA.
Tom BurroughsDepartment of Health Management & Policy, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA.
Zhonghua AiDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
Shengtao WeiDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
Weiquan LinDepartment of Basic Public Health Services, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, China.
Zhoubin ZhangDepartment of Basic Public Health Services, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, China.
Hui LiuDepartment of Basic Public Health Services, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, China. gzcdc_liuhui@163.com.
Hualiang LinDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China. linhualiang@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China 72104061National Science and Technology Major Project of China 2024ZD0524500National Science and Technology Major Project of China 2024ZD0524502the Key Project of Medicine Discipline of Guangzhou No.2025-2027-12
6 · The paper itself

Abstract

backgroundFine particulate matter (PM

methodsThe study was based on a survey of elderly people in the communities of Guangzhou from 2018 to 2022. Bilinear interpolation and residential addresses were used to ascertain annual averages of PM

results215,073 participants were included in this study. Each participant received at least one electrocardiogram examination, with a total of 691,990 recordings. PM

conclusionOur study provides evidence that PM

Indexed as

Air PollutantsElectrocardiographyHeart RateParticulate MatterAgedAged, 80 and overAge FactorsChinaFemaleHeart Disease Risk FactorsHumansLongitudinal StudiesMaleParticle SizePredictive Value of TestsRisk AssessmentAir PollutantsParticulate MatterComponentsElectrocardiogram abnormalityLongitudinal studyPM2.5

Identifiers

PMID42265622
PMCPMC13474518

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.