Evidence map›Paper›PMID 42844605›Full record

ArticleBMC public health2026

Association between exposure to indoor PM

Ya Wen, Wan Ying Liu, Jin Wang, Ruixia Niu, Guiming Zhu, Qian Gao, Tong Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 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

7 authors.

Ya Wen *Department of Health Statistics, School of Public Health, Shanxi Medical University, No. 98, University Street, Yuci District, Jinzhong, Shanxi, 030600, China.
Wan Ying Liu *Department of Health Statistics, School of Public Health, Shanxi Medical University, No. 98, University Street, Yuci District, Jinzhong, Shanxi, 030600, China.
Jin WangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, No. 98, University Street, Yuci District, Jinzhong, Shanxi, 030600, China.
Ruixia NiuDepartment of Health Statistics, School of Public Health, Shanxi Medical University, No. 98, University Street, Yuci District, Jinzhong, Shanxi, 030600, China.
Guiming ZhuDepartment of Health Statistics, School of Public Health, Shanxi Medical University, No. 98, University Street, Yuci District, Jinzhong, Shanxi, 030600, China. guimingzhu@163.com.
Qian GaoDepartment of Health Statistics, School of Public Health, Shanxi Medical University, No. 98, University Street, Yuci District, Jinzhong, Shanxi, 030600, China. gaoqian@sxmu.edu.cn.
Tong WangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, No. 98, University Street, Yuci District, Jinzhong, Shanxi, 030600, China. tongwang@sxmu.edu.cn.ORCID http://orcid.org/0000-0002-9403-7167

Funding

National Natural Science Foundation of China 82204163National Natural Science Foundation of China 82373692
6 · The paper itself

Abstract

backgroundWith global population aging, investigating the health impacts of PM

methodsWe analyzed 12,607 elderly participants (mean age 86.81 ± 11.34) followed from 2008 to 2018. Over a median follow-up of 4.14 years, 8,643 deaths were recorded. Indoor concentrations of PM

resultsTime-varying Cox models identified PM

conclusionThis study underscores the need to prioritize control of BC, OM, and SO

Indexed as

Air PollutantsAir Pollution, IndoorEnvironmental ExposureMortalityParticulate MatterAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansMaleProspective StudiesAir PollutantsParticulate MatterChemical componentsIndoor air pollutionMortality riskOlder adultsPM2.5

Identifiers

PMID42844605
PMCPMC13644256

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.