Evidence map›Paper›PMID 42022204›Full record

ArticleEnvironment & health (Washington, D.C.)2026

Ambient PM

Manting Rao, Weiquan Lin, Liying Luo, Ge Chen, Menghe Wang, Zhonghua Ai, Jiamin Chen, Zhoubin Zhang, Hui Liu, Hualiang Lin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environment & health (Washington, D.C.), 2026. 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. 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

10 authors.

Manting RaoDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Weiquan LinDepartment of Basic Public Health Services, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou 510440, China.
Liying LuoDepartment of Basic Public Health Services, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou 510440, China.
Ge ChenDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Menghe WangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Zhonghua AiDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0009-0001-9372-9145
Jiamin ChenDepartment of Basic Public Health Services, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou 510440, China.
Zhoubin ZhangDepartment of Basic Public Health Services, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou 510440, China.
Hui LiuDepartment of Basic Public Health Services, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou 510440, China.
Hualiang LinDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0002-3643-9408

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationships between fine particulate matter (PM

Indexed as

cardiovascular diseaseschemical componentshypertensionmultistate modelPM2.5

Identifiers

PMID42022204
PMCPMC13096969

What Socratic 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 Socratic graph.