Evidence map›Paper›PMID 40050342›Full record

ArticleScientific reports2025

Global, regional, and national epidemiology of osteoarthritis in working-age individuals: insights from the global burden of disease study 1990-2021.

Weiwei Ma, Honggu Chen, Qipeng Yuan, Xiaoling Chen, Huanan Li

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 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Weiwei Ma *Jiangxi University of Chinese Medicine, Nanchang, 330004, China.
Honggu Chen *Taizhou Hospital of Zhejiang Province, Tai Zhou, 318000, China.
Qipeng Yuan *Jiangxi University of Chinese Medicine, Nanchang, 330004, China.
Xiaoling ChenJiangxi University of Chinese Medicine, Nanchang, 330004, China.
Huanan LiJiangxi University of Chinese Medicine, Nanchang, 330004, China. lihuanan1974@126.com.

Funding

Jiangxi Province 2024 Science and Technology Special Funds 20243BCE51009the National Natural Science Foundation of China 82060871
6 · The paper itself

Abstract

Osteoarthritis (OA) is a chronic degenerative joint disease with an increasing global burden, particularly among the working-age population. This study aims to analyze the temporal trends in OA burden by age and sex globally from 1990 to 2021, focusing on incidence, prevalence, and disability-adjusted life years (DALYs) rates, and to predict future trends. Using data from the Global Burden of Disease (GBD) database, which includes 204 countries and regions, we stratified the findings by the sociodemographic index (SDI). Age-standardized rates were used to calculate the estimated annual percentage change (EAPC) with corresponding 95% confidence intervals (95% CI). Additionally, a Bayesian Age-Period-Cohort (BAPC) model was employed to project future OA trends up to 2040.The results revealed a consistent increase in the global OA burden over the study period. Between 1990 and 2021, the number of OA cases in the working-age population increased from 16,420,160 to 35,494,218, representing a growth rate of 116.16%. Over the same period, prevalence and DALYs rose by 123.11% and 125%, respectively. Global age-standardized incidence rate (ASIR), prevalence rate (ASPR), and DALYs rate (ASDR) exhibited continuous upward trends, with annual percentage changes of 0.387%, 0.431%, and 0.46%, respectively. Notably, East Asia demonstrated the highest EAPC, reflecting a rapid rise in OA burden, while high-income North America exhibited minimal changes, indicating a relatively stable trend. Countries such as Equatorial Guinea, Mongolia, and Armenia also experienced significant increases in EAPC, underscoring emerging regional challenges.Further socioeconomic analysis highlighted disparities in OA burden. A significant positive correlation was observed between ASIR, ASPR, ASDR, and SDI. While low-SDI countries exhibited lower OA burdens, metrics were substantially higher in high-SDI countries. From 1990 to 2021, the gap between countries with the highest and lowest SDIs widened, underscoring growing global health inequalities. Projections based on the BAPC model suggest that by 2040, the incidence and prevalence of OA will continue to rise, with the number of cases expected to reach 38,800,395, particularly driven by notable increases among women.These findings highlight the urgent need for developing targeted public health strategies to mitigate the effect of OA on the working-age population and promote global health equity.

Indexed as

Global Burden of DiseaseOsteoarthritisAdultAgedBayes TheoremDisability-Adjusted Life YearsFemaleGlobal HealthHumansIncidenceMaleMiddle AgedPrevalenceQuality-Adjusted Life YearsYoung AdultDisease burden trendsGlobal burden of diseaseOsteoarthritisSociodemographic indexWorking-age population

Identifiers

PMID40050342
PMCPMC11885640

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.