Evidence mapPaperPMID 41836571Full record

ArticleJournal of orthopaedic translation2026

Global prevalence, incidence, and years lived with disability (YLDs) of osteoarthritis: trends from 1990 to 2021 and projections to 2050.

Mingjue Chen, Sheng Chen, Chao Xie, Feiyun Li, Chu Tao, Weiyuan Gong, Minghao Qu, Sixiong Lin, Zengwu Shao, Guozhi Xiao

Abstract read
In one paragraph

Article in Journal of orthopaedic translation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

10 authors.

Mingjue ChenDepartment of Biochemistry, Homeostatic Medicine Institute, School of Medicine, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Southern University of Science and Technology, Shenzhen, 518055, China.
Sheng ChenDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Chao XieDepartment of Joint and Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510282, China.
Feiyun LiDepartment of Biochemistry, Homeostatic Medicine Institute, School of Medicine, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Southern University of Science and Technology, Shenzhen, 518055, China.
Chu TaoDepartment of Biochemistry, Homeostatic Medicine Institute, School of Medicine, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Southern University of Science and Technology, Shenzhen, 518055, China.
Weiyuan GongDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, China.
Minghao QuSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Sixiong LinDepartment of Orthopaedics, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Zengwu ShaoDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Guozhi XiaoDepartment of Biochemistry, Homeostatic Medicine Institute, School of Medicine, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Southern University of Science and Technology, Shenzhen, 518055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To comprehensively assess the global burden of osteoarthritis (OA) from 1990 to 2021, analyze trends and patterns in its epidemiological shifts, and to project its changes through 2050. Methods: Data were extracted from the Global Burden of Disease Study 2021, including the numbers and age-standardized rates (ASRs) of prevalence, incidence, and years lived with disability (YLDs) of OA. We described OA epidemiology and trends by sex, age, anatomic site, high body mass index (BMI), sociodemographic index (SDI), and geographic regions, using estimated annual percentage changes (EAPCs), joinpoint regression analysis, and Age-period-cohort (APC) analysis. The OA burden was decomposed into contributions from aging, population size, and epidemiologic changes, and the changes of OA burden through 2050 were predicted by Bayesian APC (BAPC) model. Results: GBD 2021 estimated 607.0 million prevalent cases, 46.6 million incident cases, and 21.3 million YLDs of OA in 2021, with a globally increasing trend in overall burden observed from 1990 to 2021. The number of YLDs cases attributable to high BMI increased threefold, from 1.45 million in 1990 to 4.42 million in 2021. Joinpoint regression analysis indicated that the most pronounced increases were observed during 2006-2009 for prevalence, 2000-2009 for incidence, and 2006-2009 for YLDs. The risk of OA prevalence, incidence, and YLDs were influenced by age, period and cohort effect. Regarding the age effect, the relative risks for these outcomes initially increased and then declined. For the period effect, the relative risks increased by approximately 1.7-, 1.2-, and 1.7-fold for these outcomes. In the cohort effect, earlier-born cohorts demonstrated higher risks than their later-born counterparts. Results revealed that female individuals, knee OA, and middle SDI quintile were responsible for the most significant prevalence. The primary drivers of these changes were population growth and aging. Notably, the OA burden globally was predicted to increase from 2022 to 2050, with predicted values of 1.2 billion prevalent cases, 77.8 million incident cases, and 41.6 million YLDs by 2050. Conclusion: As a major global health issue, OA demonstrated a steady rise in global burden between 1990 and 2021, highlighting the pressing need for improved OA management strategies. This study offers valuable insights for policymakers in optimizing healthcare resource distribution and designs targeted interventions. The translational potential of this article: OA is a highly prevalent musculoskeletal disorder worldwide, with a globally increasing trend in its overall burden, imposing significant medical and economic challenges on both societies and individuals. Therefore, timely updates and comprehensive analyses of OA epidemiological data are crucial for the public, researchers, and healthcare policymakers. This study will contribute to the development of more effective OA management strategies and targeted interventions tailored to the specific needs and contexts of different regions and countries, with substantial translational potential.

Indexed as

Decomposition analysisGlobal burdenOsteoarthritisPredictive analysisTrends

Identifiers

PMID41836571
PMCPMC12988539

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.