Evidence map›Paper›PMID 42248854›Full record

ArticleNature communications2026

Epidemiological and bioinformatics analyses of air pollution and genetic susceptibility in aortic stenosis risk.

Yudiyang Ma, Qi Jiang, Jing Zhang, Yining Yang, Yaohua Tian, Jian Yang

Abstract read
In one paragraph

Article in Nature communications, 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

6 authors.

Yudiyang Ma *Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qi Jiang *Key Laboratory of Environment and Health, Department of Occupational and Environmental Health, Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jing Zhang *Department of Cardiology, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People's Hospital, Yichang, China.
Yining YangDepartment of Cardiology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China. yangyn5126@163.com.ORCID http://orcid.org/0000-0002-8332-8508
Yaohua TianDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. yaohua_tian@hust.edu.cn.ORCID http://orcid.org/0000-0002-9853-6991
Jian YangDepartment of Cardiology, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People's Hospital, Yichang, China. yangjian@ctgu.edu.cn.ORCID http://orcid.org/0000-0002-1391-1482

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While air pollution is a recognized cardiovascular risk, its specific impact on aortic stenosis (AS) remains poorly characterized. This study investigates the association between air pollution and incident AS, integrating gene-environment interactions and network toxicology. Based on the UK Biobank as the primary cohort, long-term air pollution exposure (per standard deviation increase) is associated with an increased risk of AS, with HRs and 95% CIs of 1.60 (1.55,1.66) for PM

Indexed as

Air PollutionAortic Valve StenosisGenetic Predisposition to DiseaseAir PollutantsComputational BiologyEnvironmental ExposureFemaleGene-Environment InteractionHumansParticulate MatterRisk FactorsUnited KingdomAir PollutantsParticulate Matter

Identifiers

PMID42248854
PMCPMC13402292

What OpenQuestion 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 OpenQuestion graph.