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Record W4415234686 · doi:10.1136/bmj-2025-085242

Comparative efficacy and safety of exercise modalities in knee osteoarthritis: systematic review and network meta-analysis

2025· review· en· W4415234686 on OpenAlexaff
Lei Yan, Dijun Li, Dan Xing, Zijuan Fan, Guangyuan Du, Jingwei Jiu, Xiaoke Li, Janne Estill, Qi Wang, Ahmed Belal, Chen Tian, Jiao Jiao Li, Songyan Li, Haifeng Liu, Yijia Ren, Yiqi Yang, Jinxiu Chen, Yihe Hu, Long Ge, Bin Wang

Bibliographic record

VenueBMJ · 2025
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsMcMaster UniversityImpact
FundersZhejiang UniversityNational Natural Science Foundation of China
KeywordsModalitiesTherapeutic modalitiesMEDLINETreatment modalityExercise therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the efficacy and safety of various exercise modalities as therapeutic interventions for managing knee osteoarthritis. DESIGN: Systematic review with network meta-analysis. DATA SOURCES: PubMed, Embase, Cochrane Library, Web of Science, CINAHL, PsycINFO, AMED, PEDro, Scopus, ClinicalTrials.gov, ICTRP, and ClinicalTrialsRegister.eu from database inception to August 2024. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomised controlled trials comparing different exercise modalities, including aerobic exercise, flexibility exercise, mind-body exercise, neuromotor exercise, strengthening exercise, mixed exercise, and control group for patients with knee osteoarthritis. MAIN OUTCOME MEASURES: Primary outcomes included pain, function, gait performance, and quality of life, assessed at short term (four weeks), mid-term (12 weeks), and long term (24 weeks) follow-up. When exact time points were unavailable, data from adjacent time windows were used. RESULTS: 217 randomised controlled trials involving 15 684 participants were included. Moderate certainty evidence showed that, compared with the control group, aerobic exercise probably results in large improvements in pain at short term (standardised mean difference -1.10, 95% confidence interval -1.68 to -0.52) and mid-term follow-up (-1.19, -1.59 to -0.79), function at mid-term (1.78, 1.05 to 2.51), gait performance at mid-term (0.85, 0.55 to 1.14), and quality of life at short term (1.53, 0.47 to 2.59). Mind-body exercise probably results in a large increase in function at short term follow-up (0.88, 0.03 to 1.73; moderate certainty), while neuromotor exercise probably results in a large increase in gait performance at short term follow-up (1.04, 0.51 to 1.57; moderate certainty). Strengthening (0.86, 0.53 to 1.18) and mixed exercise (1.07, 0.68 to 1.46) probably result in a large increase in function at mid-term follow-up, all with moderate certainty evidence. Regarding long term follow-up, flexibility exercise may result in a large reduction in pain (-0.99, -1.63 to -0.36; low certainty); aerobic exercise may result in a large increase in function (0.87, 0.02 to 1.72, low certainty); and mixed exercise may increase function (0.56, 0.26 to 0.86; low certainty) and probably increases gait performance (0.57, 0.21 to 0.92, moderate certainty). Overall, aerobic exercise consistently showed the highest probability of being the best treatment, as reflected by surface under the cumulative ranking curve values (mean 0.72) across outcomes. The safety outcome was reported in a small proportion of studies (40 studies, 18%), and no clear differences were observed between exercise interventions and control. CONCLUSIONS: In patients with knee osteoarthritis, aerobic exercise is likely the most beneficial exercise modality for improving pain, function, gait performance, and quality of life, with moderate certainty. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42023469762.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.030
metaresearch head score (Gemma)0.071
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.071
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0240.037
Bibliometrics0.0090.008
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.078
GPT teacher head0.366
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations22
Published2025
Admission routes1
Has abstractyes

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