Evidence map›Paper›PMID 40971761›Full record

ArticleThe Journal of international medical research2025

Evaluating the impact of environmental metal mixtures on chronic kidney disease risk: Insights from the National Health and Nutrition Examination Survey 2011-2016.

Sen Zhang, XiaoJuan Fu

Abstract read
In one paragraph

Article in The Journal of international medical research, 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. 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

2 authors.

Sen ZhangDepartment of Nuclear Medicine, Deyang People's Hospital, China.ORCID 0000-0002-8475-2968
XiaoJuan FuDepartment of Nephrology, The First Affiliated Hospital of Chengdu Medical College, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundChronic kidney disease is a global health issue, with environmental metal mixtures potentially contributing to its risk, although interactions between metals remain unclear. The present study aims to systematically explore the association between exposure to environmental metal mixtures and the risk of chronic kidney disease as well as their potential interactive effects.MethodsData from 3514 adults (aged ≥20 years) who participated in the National Health and Nutrition Examination Survey 2011-2016 were analyzed. Blood concentrations of lead, cadmium, mercury, selenium, manganese, serum copper, and zinc were measured. Chronic kidney disease was defined by an estimated glomerular filtration rate of <60 mL/min/1.73 m

Indexed as

Environmental ExposureEnvironmental PollutantsMetalsRenal Insufficiency, ChronicAdultAgedBayes TheoremCadmiumCopperFemaleGlomerular Filtration RateHumansLeadMaleMercuryMetals, HeavyCadmiumCopperEnvironmental PollutantsLeadMercuryMetalsMetals, HeavyZincBayesian kernel machine regressionChronic kidney diseaseheavy metalsmachine learningmetal mixture exposureNational Health and Nutrition Examination Surveyweighted quantile sum regression

Identifiers

PMID40971761
PMCPMC12449636

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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.