Evidence map›Paper›PMID 32458239›Full record

ArticleClinical rheumatology2020

Associations of serum iron and ferritin with hyperuricemia and serum uric acid.

Yilun Wang, Zidan Yang, Jing Wu, Dongxing Xie, Tuo Yang, Hui Li, Yilin Xiong

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In one paragraph

Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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

7 authors.

Yilun WangDepartment of Orthopaedics, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, 410008, Hunan, China.
Zidan YangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Jing WuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Dongxing XieDepartment of Orthopaedics, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, 410008, Hunan, China.
Tuo YangHealth Management Center, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hui LiDepartment of Orthopaedics, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, 410008, Hunan, China. lihui1988@csu.edu.cn.
Yilin XiongDepartment of Orthopaedics, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, 410008, Hunan, China. xiongyilin@csu.edu.cn.

Funding

Clinical Scientific Research Foundation of Xiangya Hospital, Central South University 2015L03innovation Foundation of the Central South University for Postgraduate 2018zzts045Key Research and Development Program of Hunan Province 2018SK2070National Natural Science Foundation of China 81601941, 81772413, 81702207, 81702206Natural Science Foundation of Hunan Province 2017JJ3491, 2017JJ3492Postdoctoral Science Foundation of Central South University 182130Xiangya Clinical Big Data System Construction Project of Central South University 45Young Investigator Grant of Xiangya Hospital, Central South University 2016Q03, 2016Q06
6 · The paper itself

Abstract

objectivesTo assess the serum iron and ferritin levels in relation to the prevalence of hyperuricemia (HU) and the serum uric acid (SUA) level.

methodsSerum iron and ferritin concentrations were detected by Ferene method and chemiluminescence method, respectively. SUA level was detected by uricase-PAP method. HU was defined as SUA ≥ 416 μmol/L for male and ≥ 357 μmol/L for female. Multivariable-adjusted logistic regressions were constructed to investigate the associations between serum iron/ferritin levels and prevalence of HU. Pearson correlation analysis and multivariable linear regression were performed to examine the correlations between serum iron/ferritin levels and SUA level.

resultsA total of 2824 subjects (mean age 52.2 ± 7.2) were included. The overall prevalence of HU was 17.3%. Compared with the lowest quartile, the multivariable-adjusted odds ratios (OR) and its 95% confidence interval (CI) of HU were 1.33 (95%CI 0.97-1.82), 1.17 (95%CI 0.85-1.60), and 1.56 (95%CI 1.14-2.13) in the second, third, and fourth quartiles of serum iron, respectively (P for trend = 0.012), and were 1.29 (95%CI 0.89-1.88) in the second, 2.13 (95%CI 1.47-3.07) in the third, and 2.25 (95%CI 1.54-3.29) in the fourth quartile of serum ferritin (P for trend < 0.001). Pearson correlation coefficient indicated a weak positive correlation between serum iron (r = 0.2, P < 0.001) and ferritin (r = 0.3, P < 0.001) levels and SUA. Such positive correlations were further confirmed by multiple linear regression (serum iron: standardized β = 0.059, P < 0.001; serum ferritin: standardized β = 0.061, P = 0.001).

conclusionsBoth serum iron and ferritin showed a positive correlation with the prevalence of HU, and a weak positive correlation with SUA level. Key Points • Subjects with higher levels of serum iron or ferritin had higher prevalence of HU. • There was a weak positive correlation between serum iron/ferritin levels and SUA level.

Indexed as

HyperuricemiaUric AcidCross-Sectional StudiesFemaleFerritinsHumansIronMaleMiddle AgedRisk FactorsFerritinsIronUric AcidCross-sectional studyFerritinHyperuricemiaIronUric acid

Identifiers

PMID32458239

What OpenQuestion holds

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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.