Evidence map›Paper›PMID 39696280›Full record

ArticleBMC public health2024

Investigation of the relationship between lead exposure in heavy metals mixtures and the prevalence of stroke: a cross-sectional study.

Jiarong He, Wen Zhang, Fang Zhao, Ming Wang, Zhuo Wang, Chen Liang, Jing Pan, Jiaoying Jia, Mingming Zhang

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

9 authors.

Jiarong HeDepartment of Neurosurgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China.
Wen ZhangDepartment of Nephrology, Yiyang Central Hospital, University of South China, Yiyang, Hunan, P. R. China.
Fang ZhaoDepartment of Rheumatology, The First Hospital, Institute of Innovation and Applied Research in Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, P. R. China.
Ming WangDepartment of Neurosurgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China.
Zhuo WangDepartment of Neurosurgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China.
Chen LiangDepartment of Neurosurgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China.
Jing PanDepartment of Nephrology, Hengyang Central Hospital, University of South China, Hengyang, Hunan, P. R. China.
Jiaoying JiaDepartment of Neurosurgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China. jiajiaoying@csu.edu.cn.
Mingming ZhangDepartment of Neurosurgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China. zhangmm@csu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities of Central South University 2022ZZTS0952JuHui Medical Technology (Shenzhen) Co., Ltd FW20230556Natural Science Foundation of Hunan Province, China 2022JJ70059Natural Science Foundation of Hunan Province, China 2023JJ40854
6 · The paper itself

Abstract

backgroundThe adverse effects of environmental toxic metal exposure on human health are well-documented. However, the specific influence of heavy metal exposure on stroke prevalence remains underexplored.

methodsThis study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2011 to 2018 to investigate the association between blood metal concentrations and the incidence of stroke. Four analytical approaches-logistic regression, Restricted Cubic Splines (RCS), Weighted Quantile Sum regression (WQS), and Bayesian Kernel Machine Regression (BKMR)-were employed to assess the relationship, with a mediation analysis conducted to explore the role of inflammatory markers in Pb exposure-induced stroke.

resultsAmong the 9,399 participants in this project, 421 (4.4%) were diagnosed with stroke. After adjusting for covariates, a multivariable logistic regression model identified a positive association between the logarithmic concentration of Pb and the incidence of stroke. Besides, the analysis conducted using both WQS and BKMR methodologies found a consistent positive association between the composite exposure to heavy metals and the frequency of stroke cases, with Pb emerging as the predominant factor in this relationship. An evident saturation phenomenon was noted in the correlation between lead exposure and the risk of stroke. Additionally, the interplay between Pb exposure and stroke manifestation was found to be partially mediated by inflammatory markers, which were responsible for 6.9% of the observed effect (95%CI:0.01, 0.24, P = 0.03).

conclusionThese findings indicate a notable contribution of Pb exposure to stroke risk, highlighting inflammation as a significant intermediary mechanism in the Pb exposure-stroke association.

Indexed as

Environmental ExposureLeadMetals, HeavyNutrition SurveysStrokeAdultAgedBayes TheoremCross-Sectional StudiesEnvironmental PollutantsFemaleHumansMaleMiddle AgedPrevalenceUnited StatesEnvironmental PollutantsLeadMetals, HeavyHeavy metalsInflammationLeadNHANESStroke

Identifiers

PMID39696280
PMCPMC11658309

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LicenceCC BY-NC-ND
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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.