Evidence map›Paper›PMID 41450520›Full record

SynthesisFrontiers in public health2025

Relationship between lead exposure and different types of hypertension: systematic review and dose-response meta-analysis.

Peilin Yang, Tianyi Ji, Zhendong Yang, Jiayuan Song, Hongwei Liu, Haixia Fan

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in public health, 2025. 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.

Peilin YangHeilongjiang University of Chinese Medicine, Haerbin, China.
Tianyi JiHeilongjiang University of Chinese Medicine, Haerbin, China.
Zhendong YangHeilongjiang University of Chinese Medicine, Haerbin, China.
Jiayuan SongCollege of Integrative Medicine, Changchun University of Chinese Medicine, Changchun, China.
Hongwei Liu *Department of Neurology, Taiyuan City Central Hospital, The Ninth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Haixia Fan *Department of Sleep Center, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This systematic review and meta-analysis aimed to quantify the association between environmental and occupational lead exposure and the risk of various hypertension subtypes. We further evaluated this relationship through a dose-response analysis to provide a scientific basis for targeted public health interventions. Methods: Observational studies on lead exposure and hypertension were searched from Chinese/English databases (inception to June 9, 2025). Two researchers independently screened studies, extracted data, and assessed bias risk. Random-effects meta-analysis calculated pooled ORs (95% CIs); meta-regression/subgroup analyses explored heterogeneity. Egger's test evaluated publication bias, sensitivity analyses verified result robustness, and dose-response analysis was applied to multi-level exposure data. Result: 24 studies (181,500 participants) were included. Lead exposure correlated significantly with hypertension (pooled OR = 1.27, 95% CI: 1.20-1.34) with high heterogeneity (I Conclusion: Lead exposure is a hypertension risk factor with a clear dose-response relationship. It is recommended to include blood lead in hypertension risk assessment and set a blood lead action level of < 0.107 μg/dl for high-risk groups to reduce hypertension burden from lead pollution. Systematic review registration: https://inplasy.com/inplasy-2025-9-0008/.

Indexed as

Environmental ExposureHypertensionLeadOccupational ExposureFemaleHumansRisk FactorsLeaddose–response relationshiphypertensionlead exposuremeta-analysisrisk factorsystematic review

Identifiers

PMID41450520
PMCPMC12727891

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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.