Evidence mapPaperPMID 39706673Full record

ArticleBMJ open diabetes research & care2024

Role of urinary trace elements in diabetic kidney disease: a cross-sectional analysis.

Tianrui Gao, Jia Lv, Lizhen Lu, Lijuan Guo, Weitian Tang, Fengmin Shao, Shiwei Zhu, Yuchen Zhang, Ruiqi Jia, Jing Zhou and 2 more

Abstract read
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Article in BMJ open diabetes research & care, 2024. 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
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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Tianrui Gao *Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Jia Lv *Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Lizhen Lu *Department of Nephrology, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Lijuan GuoDepartment of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Weitian TangDepartment of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Fengmin ShaoDepartment of Nephrology, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Shiwei ZhuDepartment of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yuchen ZhangDepartment of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Ruiqi JiaDepartment of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Jing ZhouDepartment of Nephrology, Henan Provincial People's Hospital, Zhengzhou, Henan, China guyuesunny@zzu.edu.cn changgao1993@outlook.com jzhou128@126.com.
Chang GaoDepartment of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China guyuesunny@zzu.edu.cn changgao1993@outlook.com jzhou128@126.com.ORCID 0000-0003-3597-1360
Yue GuDepartment of Nephrology, Henan Provincial People's Hospital, Zhengzhou, Henan, China guyuesunny@zzu.edu.cn changgao1993@outlook.com jzhou128@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe balance of trace elements plays an important role in diabetic kidney disease (DKD) patients. However, studies on the differences in urinary trace elements across different DKD stages are scarce. This study aimed to explore the associations between nine essential trace elements and DKD. RESEARCH DESIGN AND

methodsThis cross-sectional analysis included 830 diabetic patients. Participants were classified into non-DKD (NDKD) and DKD, the latter was further grouped into mid and end DKD based on estimated glomerular filtration rate (eGFR), and the case and control were matched based on age and sex. The concentration of urinary trace elements was measured with inductively coupled plasma mass spectrometry.

resultsUrinary concentrations of copper (Cu) and manganese (Mn) in DKD patients were significantly higher than that of NDKD patients, whereas that of iron (Fe), cobalt, selenium, and nickel (Ni) of DKD were lower. Positive correlations between urinary Mn/Cu and the risk of mid-stage and end-stage DKD were revealed by conditional logistic regression, while Fe and Ni were negatively associated with the risk of DKD. In mixed effect analyses, no significant trend was found for joint trace element exposure and risk of mid DKD, while negative associations between combined effects of trace elements and the risk of end DKD were observed.

conclusionsThis study revealed different associations between trace elements and the risk of mid and end DKD using both single and mixture effect modeling. The results suggested that the urinary trace element profile might be associated with the progression of DKD, which provides important insights for understanding the pathogenesis of DKD and developing individualized nutritive management strategies.

Indexed as

Diabetic NephropathiesGlomerular Filtration RateTrace ElementsAgedBiomarkersCase-Control StudiesCopperCross-Sectional StudiesFemaleFollow-Up StudiesHumansMaleManganeseMiddle AgedPrognosisBiomarkersCopperManganeseTrace ElementsCase-Control StudiesDiabetes ComplicationsKidney Diseases

Identifiers

PMID39706673
PMCPMC11667472

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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.