Evidence map›Paper›PMID 36531480›Full record

ArticleFrontiers in endocrinology2022

Associations of metal exposure with hyperuricemia and gout in general adults.

Jing Xu, Xu Zhu, Rutai Hui, Yujie Xing, Junkui Wang, Shuang Shi, Yong Zhang, Ling Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 33 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

8 authors at 3 institutions in 1 country.

Jing XuDepartment of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Xu ZhuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
Rutai HuiDepartment of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yujie XingDepartment of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Junkui WangDepartment of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Shuang ShiDepartment of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Yong ZhangDepartment of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Ling ZhuDepartment of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Shaanxi Provincial People's Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epidemiological evidence of the associations between metal exposure and gout-related outcomes (including serum uric acid [SUA], hyperuricemia and gout) is scarce. The aim of the study is to investigate the associations of metal exposure with SUA, hyperuricemia and gout in general adults. Methods: In this study, the exposure to five blood metals (mercury, manganese, lead, cadmium and selenium) of general adults was analyzed based on the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018 (n = 14,871). Linear, logistic and weighted quantile sum (WQS) regression models were applied to examine the associations of blood metals with gout-related outcomes. Possible dose-response relationships were analyzed through restricted cubic spline regression. Results: Compared with the lowest quartile of blood metals, mercury (quartile 2 and 4), lead (quartile 2, 3, and 4) and selenium (quartile 2 and 4) were found to be positively correlated with SUA and hyperuricemia. Higher levels of mercury and lead were associated with gout, but only those in the fourth quartile had statistical significance (OR [95%CI]: 1.39 [1.10-1.75] and 1.905 [1.41-2.57]) respectively). The WQS index of the blood metals was independently correlated with SUA (β [95%CI]: 0.17 [0.13-0.20]), hyperuricemia (OR [95%CI]: 1.29 [1.16-1.42]) and gout (OR [95%CI]: 1.35 [1.15-1.58]). Among them, lead was the most heavily weighted component (weight = 0.589 for SUA, 0.482 for hyperuricemia, and 0.527 for gout). In addition, restricted cubic spline regression models showed a linear association of lead with the prevalence of hyperuricemia and gout. Conclusion: Our results suggested that blood metal mixtures were positively associated with gout-related outcomes, with the greatest effect coming from lead.

Indexed as

GoutHyperuricemiaMercurySeleniumCross-Sectional StudiesHumansNutrition SurveysUric AcidMercurySeleniumUric Acidblood metalsgouthyperuricemiauric acidweighted quantile sum

Identifiers

PMID36531480
PMCPMC9755211
OpenAlexW4311195322

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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.