Evidence map›Paper›PMID 40026346›Full record

ArticleGlobal heart2025

Causal Relationship Between Air Pollutants and Blood Pressure Phenotypes: A Mendelian Randomization Study.

Xianshang Zhu, Huabo Mao, Hongyu Zeng, Fengli Lv, Jiancheng Wang

Abstract read
In one paragraph

Article in Global heart, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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

5 authors.

Xianshang ZhuFirst Clinical Medical College, Gansu University of Traditional Chinese Medicine, Lanzhou, Gansu, 730000, China.ORCID 0009-0005-8999-3057
Huabo MaoFirst Clinical Medical College, Gansu University of Traditional Chinese Medicine, Lanzhou, Gansu, 730000, China.ORCID 0009-0002-8755-0189
Hongyu ZengSchool of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.ORCID 0009-0003-1969-0144
Fengli LvSchool of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.ORCID 0009-0000-7132-6129
Jiancheng WangFirst Clinical Medical College, Gansu University of Traditional Chinese Medicine, Lanzhou, Gansu, 730000, China.ORCID 0009-0007-6055-969X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Hypertension is a chronic disease widely prevalent around the world. While previous observational studies have suggested a link between air pollutants and an increased risk of hypertension, causality has not been established. Our study aimed to investigate potential causal relationships between five air pollutants and four blood pressure phenotypes through two-sample Mendelian randomization. Methods: Two-sample Mendelian randomization (MR) analyses were performed using genome-wide association studies (GWAS) data from the IEU OpenGWAS project. The main analysis method was the inverse variance weighting (IVW) method. Heterogeneity was assessed by Cochran's Q test, while pleiotropy was assessed by MR-Egger regression. Sensitivity analysis was performed by weighted median method, MR-Egger method, simple mode method, weighted mode method, and leave-one-out analysis method. Results: Mendelian randomization results showed positive causal associations between PM10 with hypertension (OR: 1.49; 95%CI: 1.06, 2.09; Conclusion: Elevated levels of PM2.5 and PM10 have been associated with an increased risk of developing hypertension, with PM10 specifically linked to higher systolic blood pressure levels. Interestingly, NO

Indexed as

Air PollutantsAir PollutionBlood PressureHypertensionMendelian Randomization AnalysisGenome-Wide Association StudyHumansPhenotypeRisk FactorsAir PollutantsAir pollutantsBlood pressureHypertensionMendelian randomization

Identifiers

PMID40026346
PMCPMC11869833

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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.