Evidence map›Paper›PMID 33790604›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Asymptomatic Hyperuricemia and Metabolically Unhealthy Obesity: A Cross-Sectional Analysis in the Tianning Cohort.

Jia Yu, Hongyan Sun, Jinhua Zhu, Xintong Wei, Hongfei Shi, Bin Shen, Liyun Ren, Yan He, Rongyan Zhang, Mingzhi Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% 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, 21 citations in OpenAlex.

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  10. Association ofFrontiers in genetics · 2021
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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

11 authors at 1 institution in 1 country.

Jia Yu *Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China.ORCID 0000-0001-9423-485X
Hongyan Sun *Center for Disease Prevention and Control of Tianning District, Changzhou, People's Republic of China.
Jinhua Zhu *Center for Disease Prevention and Control of Wujiang District, Suzhou, People's Republic of China.
Xintong WeiDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China.
Hongfei ShiCenter for Disease Prevention and Control of Tianning District, Changzhou, People's Republic of China.
Bin ShenCenter for Disease Prevention and Control of Wujiang District, Suzhou, People's Republic of China.
Liyun RenDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China.
Yan HeDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China.
Rongyan ZhangCenter for Disease Prevention and Control of Wujiang District, Suzhou, People's Republic of China.
Mingzhi ZhangDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China.
Hao PengDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe relationship between obesity and hyperuricemia has been demonstrated by many studies. However, whether or to what extent metabolic condition influents the association between obesity and hyperuricemia was not clear. Here, we aimed to examine the association between obese-metabolic phenotype and hyperuricemia in a large sample of Chinese adults.

methodsAccording to BMI and metabolic syndrome, obese-metabolic phenotype was defined as metabolically unhealthy obesity (MUO), metabolically healthy obesity (MHO), metabolically unhealthy non-obesity (MUNO) and metabolically healthy non-obesity (MHNO)in the Tianning cohort (N=5072). We conducted a cross-sectional analysis between obese-metabolic phenotype and hyperuricemia, followed by a Mendelian Randomization analysis using GWAS summary data to confirm the causality between uric acid and BMI.

resultsThe average level of serum UA showed 41.87-higher μmol/L in participants with MHO (β=41.87,

conclusionMUO, in comparison with MHO, was significantly associated with hyperuricemia in Chinese adults.

Indexed as

hyperuricemiametabolic syndromeobesityserum uric acid

Identifiers

PMID33790604
PMCPMC8006809
OpenAlexW3137218116

What Socratic 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 Socratic graph.