Evidence map›Paper›PMID 38844557›Full record

ArticleScientific reports2024

Associations of mixed metal exposure with chronic kidney disease from NHANES 2011-2018.

Xiaoru Shi, Xiao Wang, Jia Zhang, Ying Dang, Changping Ouyang, Jinhua Pan, Aimin Yang, Xiaobin Hu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Cobalt mediates stage-specific toxicity of metal mixtures in cardiovascular-kidney-metabolic syndrome.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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

8 authors.

Xiaoru ShiInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, Lanzhou, 730000, Gansu Province, China.
Xiao WangInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, Lanzhou, 730000, Gansu Province, China.
Jia ZhangInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, Lanzhou, 730000, Gansu Province, China.
Ying DangInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, Lanzhou, 730000, Gansu Province, China.
Changping OuyangInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, Lanzhou, 730000, Gansu Province, China.
Jinhua PanInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, Lanzhou, 730000, Gansu Province, China.
Aimin YangDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Xiaobin HuInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, Lanzhou, 730000, Gansu Province, China. lzhuxb@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metals have been proved to be one of risk factors for chronic kidney disease (CKD) and diabetes, but the effect of mixed metal co-exposure and potential interaction between metals are still unclear. We assessed the urine and whole blood levels of cadmium (Cd), manganese (Mn), lead (Pb), mercury (Hg), and renal function in 3080 adults from National Health and Nutrition Survey (NHANES) (2011-2018) to explore the effect of mixed metal exposure on CKD especially in people with type 2 diabetes mellitus (T2DM). Weighted quantile sum regression model and Bayesian Kernel Machine Regression model were used to evaluate the overall exposure impact of metal mixture and potential interaction between metals. The results showed that the exposure to mixed metals was significantly associated with an increased risk of CKD in blood glucose stratification, with the risk of CKD being 1.58 (1.26,1.99) times in urine and 1.67 (1.19,2.34) times in whole blood higher in individuals exposed to high concentrations of the metal mixture compared to those exposed to low concentrations. The effect of urine metal mixture was elevated magnitude in stratified analysis. There were interactions between urine Pb and Cd, Pb and Mn, Pb and Hg, Cd and Mn, Cd and Hg, and blood Pb and Hg, Mn and Cd, Mn and Pb, Mn and Hg on the risk of CKD in patients with T2DM and no significant interaction between metals was observed in non-diabetics. In summary, mixed metal exposure increased the risk of CKD in patients with T2DM, and there were complex interactions between metals. More in-depth studies are needed to explore the mechanism and demonstrate the causal relationship.

Indexed as

Environmental ExposureNutrition SurveysRenal Insufficiency, ChronicAdultAgedBayes TheoremCadmiumDiabetes Mellitus, Type 2FemaleHumansLeadMaleManganeseMetalsMetals, HeavyMiddle AgedCadmiumLeadManganeseMetalsMetals, HeavyBayesian kernel machine regressionChronic kidney diseaseMixed metalNational health and nutrition surveyType 2 diabetes mellitusWeighted quantile sum

Identifiers

PMID38844557
PMCPMC11156859

What Socratic holds

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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 Socratic graph.