Evidence map›Paper›PMID 35793044›Full record

ArticleBiological trace element research2023

Sex-Specific Associations of Urinary Metals with Renal Function: a Cross-sectional Study in China.

Yinxia Lin, Jiansheng Cai, Qiumei Liu, Xiaoting Mo, Min Xu, Junling Zhang, Shuzhen Liu, Chunmei Wei, Yanfei Wei, Shenxiang Huang and 7 more

Abstract read
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In one paragraph

Article in Biological trace element research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 30% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

17 authors at 2 institutions in 1 country.

Yinxia Lin *Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Jiansheng Cai *Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Qiumei Liu *Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Xiaoting MoDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Min XuDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Junling ZhangDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Shuzhen LiuDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Chunmei WeiDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Yanfei WeiDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Shenxiang HuangDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Tingyu MaiSchool of Public Health, Guilin Medical University, 20 Lequn Road, Guangxi Zhuang Autonomous Region, Guilin, 541004, China.
Dechan TanSchool of Public Health, Guilin Medical University, 20 Lequn Road, Guangxi Zhuang Autonomous Region, Guilin, 541004, China.
Huaxiang LuDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Tingyu LuoSchool of Public Health, Guilin Medical University, 20 Lequn Road, Guangxi Zhuang Autonomous Region, Guilin, 541004, China.
Ruoyu GouSchool of Public Health, Guilin Medical University, 20 Lequn Road, Guangxi Zhuang Autonomous Region, Guilin, 541004, China.
Zhiyong ZhangDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China. rpazz@163.com.
Jian QinDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China. qinjian@gxmu.edu.cn.
Guangxi Medical University · CNGuilin Medical University · CN

Funding

Guangxi Natural Science Foundation for Innovation Research Team No. 2019GXNSFGA245002Major Science and Technology Projects in Guangxi No. GKAA22399National Natural Science Foundation of China No. 81760577Scientific Research and Technology Development Program of Guangxi No. AD17129003
6 · The paper itself

Abstract

backgroundExtensive studies have revealed the link between heavy metals and CKD. Compared to single meta-elements, mixture of metals reflect real-life metals exposure scenarios and are of interest. However, the mechanism of action of metal mixture on renal function is unclear.

methodsThis study aimed to explore the potential relationship between urinary arsenic (As), cadmium (Cd), lead (Pb), manganese (Mn), and chromium (Cr) contents with estimated glomerular filtration rate (eGFR) levels in 2775 participants. The levels of metals in urine were determined by inductively coupled plasma-mass spectrometry. We used linear regression models and the Bayesian kernel machine regression (BKMR) to evaluate the association between metals and eGFR levels.

resultsIn linear regression analysis, urinary As (β = 2.723, 95%CI: 0.29, 5.157) and Pb (β = 3.081, 95%CI: 1.725, 4.438) were positively associated with eGFR in the total population. In the BKMR model, a mixture of the five metals had a positive joint effect on eGFR levels, while Pb (PIP = 0.996) contributed the most to eGFR levels. Pb was positively associated with eGFR levels in the total participants and women. As was positively correlated with eGFR levels in women. Pb and eGFR levels were positively correlated when the other metals were set at 25th, 50th, and 75th percentiles.

conclusionsTo the best of our knowledge, all five metals mixed exposure was positively associated with eGFR. Pb showed more important effects than the other four metals in the mixture, especially in women.

Indexed as

LeadMetals, HeavyBayes TheoremChinaCross-Sectional StudiesFemaleHumansKidneyMaleLeadMetals, HeavyBayesian regression modelEstimated glomerular filtration rateUrinary metal

Identifiers

PMID35793044
OpenAlexW4283829062

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.