Evidence map›Paper›PMID 42854061›Full record

ArticleMedicine2026

Trends, decomposition, and projections of gout burden among middle-aged adults in China: GBD 2023.

Chenyang Huang, Quanwei He, Hongwen Song, Zhuhui Duan, Zhiyu Wang, Sensen Cheng, Yueli Qi, Wei Xu, Huan Nie, Qianqing Guo and 6 more

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Chenyang HuangDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.ORCID 0009-0002-4819-7060
Quanwei HeLiver Disease Research Center, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China.
Hongwen SongDepartment of Dermatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Zhuhui DuanDepartment of Stomatology, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, Henan Province, China.
Zhiyu WangDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Sensen ChengDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Yueli QiDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Wei XuDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Huan NieDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Qianqing GuoDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Xiaoying SunDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Yaqiong FanDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Zhiyan MaiDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Haishuo HeDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.
Zhaowei ZhouDepartment of Geriatrics, Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China.
Wei ZhuDepartment of Nephrology and Rheumatology, The 989th Hospital of the PLA Joint Logistics Support Force, Luoyang, Henan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gout has become a rapidly expanding metabolic-inflammatory disease in China, but the long-term trajectory, changing attributable risks, and future burden among middle-aged adults remain incompletely defined. We assessed gout burden among Chinese adults aged 40 to 59 years from 1990 to 2023 and projected trends to 2035. Using Global Burden of Disease Study 2023 (GBD 2023) data, we analyzed gout prevalence, incidence, and disability-adjusted life years among Chinese adults aged 40 to 59 years. Joinpoint regression identified temporal inflection points; Das Gupta decomposition quantified contributions from population growth, aging, and epidemiological change; Bayesian age-period-cohort modeling projected burden to 2035; and population attributable fractions (PAFs) were estimated for high body mass index (BMI) and kidney dysfunction, with sex- and age-stratified analyses. Prevalent cases increased from 2.56 million in 1990 to 6.75 million in 2023, while the age-standardized prevalence rate rose by 21.08% (1226.32-1484.81 per 1,00,000). The steepest acceleration occurred during 2009 to 2018. Population growth accounted for approximately 70% to 73% of the absolute increase, epidemiological change for 19% to 24%, and aging for 6% to 8%. High BMI remained the dominant attributable risk factor, accounting for 32.2% of gout-related disability-adjusted life years in 2023, whereas the PAF attributable to kidney dysfunction declined from 6.5% to 4.7%. Men had a higher BMI-attributable PAF at ages 40 to 44 years, but women had a greater proportional burden from age 45 onward. Projections indicated that gout burden would remain at a high level through 2035. Gout burden among middle-aged adults in China has risen substantially and is increasingly shaped by metabolic risk. Population-level weight and dietary interventions, sex-sensitive prevention and screening, and guideline-concordant urate-lowering management are needed to curb the projected burden. As an ecological analysis of modeled estimates, these findings identify population-level associations rather than establish causation.

Indexed as

GoutAdultBayes TheoremBody Mass IndexChinaDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansIncidenceMaleMiddle AgedPrevalenceQuality-Adjusted Life Yearsbody-mass indexChinaGlobal Burden of Diseasegoutkidney dysfunction

Identifiers

PMID42854061
PMCPMC13657502

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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.