Evidence map›Paper›PMID 39853053›Full record

ArticleToxics2025

Association Between Urinary Metal Levels and Chronic Kidney Dysfunction in Rural China: A Study on Sex-Specific Differences.

Kaisheng Teng, Qinyi Guan, Qiumei Liu, Xiaoting Mo, Lei Luo, Jiahui Rong, Tiantian Zhang, Wenjia Jin, Linhai Zhao, Songju Wu and 2 more

Abstract read
In one paragraph

Article in Toxics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Kaisheng TengDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.
Qinyi GuanDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.
Qiumei LiuDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.ORCID 0000-0002-3387-2775
Xiaoting MoDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.
Lei LuoDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.
Jiahui RongDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.
Tiantian ZhangDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.
Wenjia JinDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.
Linhai ZhaoDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.
Songju WuDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.
Zhiyong ZhangDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.
Jian QinDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, China.

Funding

Guangxi Natural Science Foundation for Innovation Research Team 2019GXNSFGA245002Innovation Platform and Talent Plan in Guilin 20220120-2National Natural Science Foundation of China 81960583National Natural Science Foundation of China 82260629Open Project of Key Laboratory of Longevity and Aging-related Diseases(Guangxi Medical University), Ministry of Education KLLAD202304The study was supported by the Major Science and Technology Projects in Guangxi AA22096026Xinghu Scholars Program of Guangxi Medical University, he Open Project Program of Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University 2022-GKLEH-02
6 · The paper itself

Abstract

backgroundWhile current epidemiological studies have documented associations between environmental metals and renal dysfunction, the majority have concentrated on plasma metal levels. The relationship between urinary metal exposure and chronic kidney disease (CKD) remains contentious, particularly within specific demographic groups.

methodsThis cross-sectional study included 2919 rural Chinese adults recruited between 2018 and 2019. Urine metals were measured by ICP-MS. Least absolute shrinkage and selection operator (LASSO) regression was employed to identify metals significantly associated with CKD. Then, we used binary logistic regression, along with restricted cubic spline (RCS) models, to assess the individual exposure effects of specific metals on CKD. Quantile g-computation, weighted quantile sum regression, and Bayesian kernel machine regression (BKMR) models were applied to evaluate combined effects of metal exposures on CKD. Gender-stratified analyses were also conducted to explore these associations.

resultsLASSO identified seven metals (V, Cu, Rb, Sr, Ba, W, Pb) with significant impacts on CKD. In single-metal models, Cu and W exhibited a positive correlation with CKD, whereas V, Rb, Sr, Ba, and Pb showed significant negative correlations (all

conclusionsOur study findings demonstrate a negative association between the urinary metal mixture and CKD risk, particularly notable in females. Joint exposure to multiple urinary metals may involve synergistic or antagonistic interactions influencing renal function. Further research is needed to validate these observations and elucidate underlying mechanisms.

Indexed as

bayesian kernel machine regressionchronic kidney diseasequantile g-computationurinary metalweighted quantile sum

Identifiers

PMID39853053
PMCPMC11768882

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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.