Evidence map›Paper›PMID 32457333›Full record

ArticleScientific reports2020

Association between serum copper levels and prevalence of hyperuricemia: a cross-sectional study.

Ting Jiang, Dongxing Xie, Jing Wu, Hongyi He, Haochen Wang, Ning Wang, Zhenglei Zhu, Yilun Wang, Tuo Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Associations between multiple essential trace metal concentrations and risk of hyperuricemia: insights from a central Chinese population.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
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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

9 authors at 2 institutions in 1 country.

Ting JiangDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Dongxing XieDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jing WuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Hongyi HeDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Haochen WangDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ning WangDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhenglei ZhuDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yilun WangDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China. yilun_Wang@csu.edu.cn.
Tuo YangDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China. yangtuo@csu.edu.cn.
Xiangya Hospital Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperuricemia has been recognized as a worldwide public health concern. This study was conducted to examine the association between serum copper (Cu) concentration and the prevalence of hyperuricemia in a middle-aged and elderly population. Serum Cu concentration was measured by Roche modular P800 using the PAESA method. Serum uric acid (UA) concentration was detected by a Beckman Coulter AU 5800. Presence of hyperuricemia was defined as serum UA ≥ 416 μmol/L for men and ≥360 μmol/L for women. The association between serum Cu concentration and the prevalence of hyperuricemia was evaluated by logistic regression. The prevalence of hyperuricemia was 17.6% (n = 6,212) in the present study. Relative to the lowest quintile, the age- and sex-adjusted odds ratios for hyperuricemia were 1.38 (95% CI: 1.12 to 1.70), 1.34 (95% CI: 1.07 to 1.66), and 1.53 (95% CI: 1.23 to 1.91) in the third, fourth, and fifth serum Cu concentration quintiles (P for trend < 0.001). Similar results were found both in men and women subgroups. None of the findings were materially altered after adjustment for additional potential confounders. In conclusion, in this population-based cross-sectional study, serum Cu concentration was positively associated with the prevalence of hyperuricemia.

Indexed as

AdultCopperCross-Sectional StudiesFemaleHumansHyperuricemiaLogistic ModelsMaleMiddle AgedOdds RatioPrevalenceUric AcidCopperUric Acid

Identifiers

PMID32457333
PMCPMC7250918
OpenAlexW3032101400

What OpenQuestion holds

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LicenceCC BY
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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.