Evidence map›Paper›PMID 39865102›Full record

ArticleScientific reports2025

A comprehensive analysis of trends in the burden of gout in China and globally from 1990 to 2021.

Shiwei Xie, Heng Xiao, Lei Xu, Gengwu Li, Fan Zhang, Mingwei Luo

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

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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

6 authors.

Shiwei XiePanzhihua Central Hospital, No. 34, Yikang Street, East District, Panzhihua City, 617067, Sichuan Province, China.
Heng XiaoPanzhihua Central Hospital, No. 34, Yikang Street, East District, Panzhihua City, 617067, Sichuan Province, China.
Lei XuPanzhihua Central Hospital, No. 34, Yikang Street, East District, Panzhihua City, 617067, Sichuan Province, China.
Gengwu LiPanzhihua Central Hospital, No. 34, Yikang Street, East District, Panzhihua City, 617067, Sichuan Province, China.
Fan ZhangThe First Affiliated Hospital of Kunming Medical University, Wuhua District, Kunming City, 617000, Yunnan Province, China. spinezhangf@126.com.
Mingwei LuoPanzhihua Central Hospital, No. 34, Yikang Street, East District, Panzhihua City, 617067, Sichuan Province, China. 13980287889@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gout is a prevalent metabolic disorder characterized by urate crystal accumulation in joints, leading to acute arthritis and tophi formation. Despite advancements in management, the incidence and prevalence of gout have been increasing globally, particularly in China. This study analyzed data from the Global Burden of Disease Injuries and Risk Factors Study (GBD) to evaluate trends in gout from 1990 to 2021. Statistical analyses were conducted using R and Joinpoint software, while the ARIMA model was employed for forecasting future trends. Our findings revealed a global increase in gout incidence from 93.097 per 100,000 in 1990 to 109.075 per 100,000 in 2021, with cases rising from 3,983,109 to 9,401,585. In China, incidence increased from 122.522 to 151.612 per 100,000, with cases growing from 1,182,498 to 3,079,836. Similarly, global prevalence rose from 536.545 to 653.816 per 100,000, while in China, it increased from 640.679 to 810.359 per 100,000. Disability metrics, including YLDs and DALYs, also demonstrated significant increases both globally and in China. Our analysis indicated that middle-aged and elderly populations, particularly males, are at higher risk for gout. These findings underscore the urgent need for enhanced prevention and management strategies, specifically targeting high-risk populations. Effective public health policies and interventions are crucial to mitigate the escalating burden of gout and improve the quality of life for affected individuals. This study relied on secondary data from the GBD, which may be subject to biases in data collection and reporting. Additionally, variations in diagnostic practices and healthcare access across regions could influence the accuracy of reported trends. Future research should address these limitations by incorporating primary data and exploring region-specific factors contributing to gout prevalence and incidence.

Indexed as

GoutAdolescentAdultAgedChinaCost of IllnessDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseGlobal HealthHumansIncidenceMaleMiddle AgedPrevalenceRisk FactorsARIMAChinaDALYsEpidemiologyGlobal burden of diseaseGoutIncidencePrevalenceYLDs

Identifiers

PMID39865102
PMCPMC11770106

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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.