Evidence map›Paper›PMID 40598022›Full record

ArticleBMC musculoskeletal disorders2025

Burden of knee osteoarthritis in China and globally: 1990-2045.

Mingyang Li, Qilin Xia, Qilong Nie, Ling Ding, Zhen Huang, Zeping Jiang

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Intramuscular Fat Infiltration and Knee Osteoarthritis: A Systematic Review and Meta-Analysis.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026
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  15. Analysis of gut microbiota characteristics in osteoarthritis patients.Frontiers in cellular and infection microbiology · 2026
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  18. [Analysis of current status and trends of disease burden of knee osteoarthritis in China, 1990-2023].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
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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

6 authors.

Mingyang LiThe Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, Guangdong, 528051, China.
Qilin XiaThe Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, Guangdong, 528051, China.
Qilong NieThe Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, Guangdong, 528051, China.
Ling DingThe Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, Guangdong, 528051, China.
Zhen HuangThe Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, Guangdong, 528051, China.
Zeping JiangThe Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, Guangdong, 528051, China. jiangzeping2024@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnee osteoarthritis (KOA) is a major global health challenge, with rising prevalence, incidence, and disability-adjusted life years (DALYs). This disease increasingly burdens healthcare systems worldwide, particularly as populations age and obesity rates rise. In China, the rapid demographic shift towards an aging population, combined with rising obesity rates, makes KOA a pressing public health issue. China is projected to experience a significant increase in the number of elderly individuals, who are particularly vulnerable to KOA. Additionally, gender disparities, with women being more affected, add further urgency. Addressing KOA in China requires targeted healthcare strategies, considering these unique demographic and lifestyle factors.

methodsWe utilized data from the Global Burden of Disease (GBD) 2021 database to assess the prevalence, incidence, and DALYs related to KOA both globally and in China. The decomposition analysis was used to evaluate the contributions of population aging, growth, and epidemiological changes. For prediction, we employed the Bayesian Age-Period-Cohort (BAPC) model, implemented using the Integrated Nested Laplace Approximation (INLA) method, to project future trends from 2022 to 2045.

resultsFrom 1990 to 2021, both China and globally experienced significant increases in the burden of KOA. In China, the age-standardized prevalence rate (ASPR) increased from 4,667.29 (95% UI: 3,996.06-5,359.85) per 100,000 in 1990 to 5,016.52 (95% UI: 4,265.22-5,758.38) per 100,000 in 2021. Globally, the ASPR rose from 3,964.75 (95% UI: 3,411.86-4,536.4) per 100,000 in 1990 to 4,294.27 (95% UI: 3,695.04-4,910.76) per 100,000 in 2021. Similarly, the age-standardized incidence rate (ASIR) in China increased from 377.93 (95% UI: 324.79-434.28) per 100,000 in 1990 to 406.42 (95% UI: 348.7-467.23) per 100,000 in 2021, compared to a global increase from 330.26 (95% UI: 284.34-375.75) to 353.67 (95% UI: 304.56-402.5). The age-standardized DALY rate (ASDR) in China rose from 151.24 (95% UI: 72.96-291.47) per 100,000 in 1990 to 162.44 (95% UI: 78.35-314.13) per 100,000 in 2021, whereas the global ASDR rose from 127.14 (95% UI: 62.17-246.99) per 100,000 in 1990 to 137.59 (95% UI: 67.08-266.87) per 100,000 in 2021. The prevalence, incidence, and DALYs of KOA were consistently higher in females compared to males. In both regions, population growth had the most significant impact on KOA burden, but population aging was a more significant factor in China. High BMI and metabolic risk factors, particularly in females, were identified as key contributors to KOA-related DALYs. This study projects the trends in knee osteoarthritis (KOA) burden in China and globally by 2045. In China, the Age-Standardized Prevalence Rate (ASPR) is projected to increase by approximately 2.5% (from 5016.52 to 5142.90), while the Age-Standardized Incidence Rate (ASIR) is expected to decrease by about 8.8% (from 406.43 to 370.72). Globally, the ASPR is expected to rise by around 7.8% (from 4294.26 to 4630.97), while the ASIR is projected to increase by 5.8% (from 353.67 to 374.13). The Age-Standardized Death Rate (ASDR) is expected to increase in both China (by 1.3%, from 162.44 to 164.61) and globally (by 5.7%, from 137.59 to 145.45). These projections suggest an overall rise in the burden of KOA, with regional variations.

conclusionKOA remains a significant and increasingly complex global health challenge, with its burden expected to rise sharply in the coming decades. This study highlights that in both China and globally, the escalating prevalence of KOA is closely linked to population aging and obesity, but the drivers vary across regions. In China, the rising burden is predominantly influenced by demographic aging, making it critical to develop targeted interventions that address the needs of an aging population. Globally, the expansion of the population is the primary contributor to the increased KOA burden, which underscores the importance of integrating KOA prevention into broader public health strategies aimed at managing population growth and associated lifestyle risks. The findings underscore the urgency of addressing obesity as a key risk factor for KOA, especially in women. Public health interventions should focus on obesity prevention, particularly in middle-aged and older populations, and include strategies such as promoting healthier diets, physical activity, and metabolic health management. Furthermore, policies aimed at improving joint health in aging populations, with a focus on early diagnosis and rehabilitation, could significantly alleviate the long-term societal and healthcare costs associated with KOA.

Indexed as

Cost of IllnessGlobal HealthOsteoarthritis, KneeAdultAgedAged, 80 and overChinaDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansIncidenceMaleMiddle AgedPrevalenceYoung AdultDecomposition analysisDisability-adjusted life yearsGlobal burdenKnee osteoarthritisMetabolic risk factorsObesityPopulation agingPrediction analysis

Identifiers

PMID40598022
PMCPMC12219446

What OpenQuestion holds

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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 OpenQuestion graph.