Evidence map›Paper›PMID 37285198›Full record

ArticleJMIR public health and surveillance2023

Global, Regional, and National Prevalence of Gout From 1990 to 2019: Age-Period-Cohort Analysis With Future Burden Prediction.

Qiyu He, Tsz-Ngai Mok, Tat-Hang Sin, Jiaying Yin, Sicun Li, Yiyue Yin, Wai-Kit Ming, Bin Feng

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07061587 (Developing A Gout Action Plan in Primary Care Setting in Singapore), which is not on this map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
19.1field-weighted citation impact, top 1% 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.

NCT07061587 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Developing A Gout Action Plan in Primary Care Setting in Singapore

TypeinterventionalSponsorSingHealth PolyclinicsRan2025 to 2027Enrolled72ConditionsGout, Hyperuricemia, Gout Flare, Gout ChronicArmsGout action plan
3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 96 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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 2 countries.

Qiyu He *State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Bejing, China.ORCID 0000-0003-3062-5020
Tsz-Ngai Mok *Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-4256-3333
Tat-Hang Sin *Department of Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0002-5650-8845
Jiaying YinSchool of Public Health, University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-1095-003X
Sicun LiDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong.ORCID 0009-0004-4386-8894
Yiyue YinDepartment of Biostatistics, College of Science, City University of Hong Kong, Hong Kong, Hong Kong.ORCID 0009-0008-4646-8019
Wai-Kit Ming *Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-8846-7515
Bin Feng *Department of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0003-3626-3331
City University of Hong Kong · HKChinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGout is a common and debilitating condition that is associated with significant morbidity and mortality. Despite advances in medical treatment, the global burden of gout continues to increase, particularly in high-sociodemographic index (SDI) regions.

objectiveTo address the aforementioned issue, we used age-period-cohort (APC) modeling to analyze global trends in gout incidence and prevalence from 1990 to 2019.

methodsData were extracted from the Global Burden of Disease Study 2019 to assess all-age prevalence and age-standardized prevalence rates, as well as years lived with disability rates, for 204 countries and territories. APC effects were also examined in relation to gout prevalence. Future burden prediction was carried out using the Nordpred APC prediction of future incidence cases and the Bayesian APC model.

resultsThe global gout incidence has increased by 63.44% over the past 2 decades, with a corresponding increase of 51.12% in global years lived with disability. The sex ratio remained consistent at 3:1 (male to female), but the global gout incidence increased in both sexes over time. Notably, the prevalence and incidence of gout were the highest in high-SDI regions (95% uncertainty interval 14.19-20.62), with a growth rate of 94.3%. Gout prevalence increases steadily with age, and the prevalence increases rapidly in high-SDI quantiles for the period effect. Finally, the cohort effect showed that gout prevalence increases steadily, with the risk of morbidity increasing in younger birth cohorts. The prediction model suggests that the gout incidence rate will continue to increase globally.

conclusionsOur study provides important insights into the global burden of gout and highlights the need for effective management and prophylaxis of this condition. The APC model used in our analysis provides a novel approach to understanding the complex trends in gout prevalence and incidence, and our findings can inform the development of targeted interventions to address this growing health issue.

Indexed as

GoutBayes TheoremCohort StudiesFemaleHumansMalePrevalenceQuality-Adjusted Life Yearsage-period-cohort analysisBayesian age-period-cohort analysisGlobal Burden of Disease Study 2019goutNorped age-period-cohort analysispredictionprevalence

Identifiers

PMID37285198
PMCPMC10285625
OpenAlexW4379600756

What OpenQuestion holds

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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.