Evidence map›Paper›PMID 33292806›Full record

SynthesisGlobal health research and policy2020

Geographical distribution of hyperuricemia in mainland China: a comprehensive systematic review and meta-analysis.

Jiayun Huang, Zheng Feei Ma, Yutong Zhang, Zhongxiao Wan, Yeshan Li, Hang Zhou, Anna Chu, Yeong Yeh Lee

Registry-linked trialOpen access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Global health research and policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07004231 (Using Gout Buddy to Enhance Dietary Literacy and Gout Management-A Mixed Method Clinical Trial), which is not on this map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% 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.

NCT07004231 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Using Gout Buddy to Enhance Dietary Literacy and Gout Management-A Mixed Method Clinical Trial

TypeinterventionalSponsorSingHealth PolyclinicsRan2025 to 2026Enrolled110ConditionsGoutArmsGOUT Buddy, an AI chatbot
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 96 citations in OpenAlex.

  1. A metabolomic signatures in hyperuricemia: a systematic review.Metabolomics : Official journal of the Metabolomic Society · 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

8 authors at 7 institutions in 4 countries.

Jiayun HuangDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China.
Zheng Feei MaDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China. zhengfeeima@gmail.com.ORCID 0000-0002-7276-2229
Yutong ZhangJinzhou Medical University, Jinzhou, 121001, Liaoning, China.
Zhongxiao WanDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, 199 Ren'ai Road, Suzhou, 215123, China.
Yeshan LiDepartment of Respiratory and Critical Care Medicine, The Second People's Hospital of Wuhu, Wuhu, 241000, Anhui, China.
Hang ZhouClinical Medical College, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Anna ChuDepartment of Human Nutrition, University of Otago, Dunedin, 9016, New Zealand.
Yeong Yeh LeeSchool of Medical Sciences, Universiti Sains Malaysia, 16150, Kota Bharu, Kelantan, Malaysia.
Hospital Universiti Sains Malaysia · MYJinzhou Medical University · CNNorthern Jiangsu People's Hospital · CNSoochow University · CNSutherland Hospital · AUUniversity of Otago · NZXi’an Jiaotong-Liverpool University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFructose plays an important role in the complex metabolism of uric acid in the human body. However, high blood uric acid concentration, known as hyperuricemia, is the main risk factor for development of gout. Therefore, we conducted an updated meta-analysis on the prevalence and geographical distribution of hyperuricemia among the general population in mainland China using systematic literature search.

methodsFive electronic databases were used to search for relevant articles published until 2019. All calculations were conducted using the Comprehensive Meta-Analysis (CMA) software. We included 108 eligible articles (172 studies by sex, 95 studies by regions, and 107 studies by study type) and an overall sample size of > 808,505 participants.

resultsThe pooled prevalence of hyperuricemia among the general population in mainland China was 17.4% (95% CI: 15.8-19.1%). Our subgroup analysis indicated that the pooled prevalence by regions ranged from 15.5 to 24.6%. Those living Northeast region and being males had the highest prevalence (P < 0.001). In addition, some provinces in South Central, East and Northeast regions reported a high prevalence (> 20%), particularly in males. An increasing prevalence was reported since 2005-2009 until 2015-2019. No publication of bias was observed as indicated by a symmetrical funnel plot and Begg and Mazumdar rank correlation (P = 0.392).

conclusionPrevalence of hyperuricemia is increasing in China, and future studies should investigate the association between the prevalence of hyperuricemia and its risk factors in order to tackle the issue, particularly among the vulnerable groups. Also, our study was the first comprehensive study to investigate the overall prevalence of hyperuricemia in mainland China covering the six different regions.

Indexed as

ChinaGoutHumansHyperuricemiaPrevalenceRisk FactorsChinaGoutHyperuricemiaUrbanisationUric acid

Identifiers

PMID33292806
PMCPMC7708223
OpenAlexW3108917138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.