Evidence map›Paper›PMID 41121150›Full record

SynthesisJournal of orthopaedic surgery and research2025

Prevalence of knee osteoarthritis in the Chinese population, 2013-2023: a systematic review and meta-analysis.

Xin Chen, Changli Shao, Li Li, Zheng Zuo, Yan Wang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of orthopaedic surgery and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

5 authors.

Xin ChenYunnan University of Chinese Medicine, Kunming, China.
Changli ShaoYunnan University of Chinese Medicine, Kunming, China.
Li LiYunnan University of Chinese Medicine, Kunming, China.
Zheng ZuoYunnan University of Chinese Medicine, Kunming, China. zz120663@163.com.
Yan WangDali Bai Autonomous Prefecture Chinese Medicine Hospital, Dali, China. 13887212069@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveKnee osteoarthritis (KOA) is the primary cause of lower-limb disability and poses a substantial socio-economic burden. This systematic review and meta-analysis aims to assess the prevalence of KOA in the Chinese population between 2013 and 2023.

methodsEight databases were searched, in addition to a grey Literature search and manual retrieval, to comprehensively collect cross-sectional studies on the prevalence of KOA in China. Stata 18.0 was used to perform a meta-analysis of the KOA prevalence data included in this study. Furthermore, a narrative review was conducted to evaluate the impact of gender, age, Body Mass Index (BMI), region, and other factors on the prevalence of KOA.

resultsThe meta-analysis demonstrated that the overall prevalence of KOA in China from 2013 to 2023 was 28.0%. Subgroup analysis indicated a prevalence of 33.9% in women and 20.5% in men. The highest prevalence was observed in the 60-69 age group (32.8%), followed by those aged ≥ 80 and 70-79 years. The highest prevalence was observed in individuals with a BMI ≥ 28 kg/m

conclusionsOver the past decade, the prevalence of KOA in China has remained high and increased with age, particularly among women. It is strongly associated with BMI and environmental factors. A large-scale KOA survey should be conducted nationwide to monitor the disease's development trends and avoid associated risk factors. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, identifier CRD42024590187.

Indexed as

Osteoarthritis, KneeAgedAged, 80 and overBody Mass IndexChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedPrevalenceChinese populationKnee osteoarthritisMeta-analysisPrevalenceSystematic review

Identifiers

PMID41121150
PMCPMC12542521

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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.