Evidence map›Paper›PMID 40376055›Full record

ArticleFrontiers in public health2025

Global burden and future projections of geriatric gout (1990-2021): a comprehensive analysis and Bayesian Age-Period-Cohort modeling.

Jiqing Wang, Yonghui Zhao, Boya Zhao, Yingang Zhang

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Jiqing Wang *Department of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yonghui Zhao *Department of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Boya ZhaoCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yingang ZhangDepartment of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Gout is increasingly recognized as a major chronic condition among older adults, contributing significantly to global disease burden, healthcare costs, and disability. Methods: This study utilized data from the Global Burden of Disease (GBD) database, covering 204 countries and regions from 1990 to 2021. We evaluated age-standardized incidence rates, prevalence, and Years Lived with Disability (YLDs) of gout among individuals aged 60 years and older. Inequality and frontier analyses were conducted to explore disparities, and Bayesian Age-Period-Cohort (BAPC) models were applied for future trend projections up to 2036. Results: All indicators-incidence, prevalence, and YLDs-showed a steady increase across the study period, with particularly rapid growth observed in high Socio-demographic Index (SDI) regions and among older women. Although the burden was concentrated in high SDI countries, increasing trends were also evident in low SDI areas. Significant heterogeneity was found among countries with similar SDI levels. Discussion: The projected rise in gout burden through 2036 underscores the urgent need for targeted public health strategies. Disparities across SDI groups suggest that medical infrastructure, prevention programs, and cultural contexts play critical roles in disease control. Comprehensive interventions are essential to manage this growing challenge, especially among high-risk older populations.

Indexed as

Cost of IllnessGlobal Burden of DiseaseGlobal HealthGoutAgedAged, 80 and overBayes TheoremCohort StudiesFemaleForecastingHumansIncidenceMaleMiddle AgedPrevalenceBAPC analysisGBDgoutolder adult populationYLDs rate

Identifiers

PMID40376055
PMCPMC12078167

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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.