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Record W4417490184 · doi:10.7717/peerj.20455

Effects and safety of vibration therapy in knee osteoarthritis rehabilitation: an umbrella review of systematic reviews

2025· article· en· W4417490184 on OpenAlexaboutno aff
Yan Peng, Mohd Azzuan Ahmad, Yu‐Long Xie, Zhenhua Xu, Siaw Chui Chai

Bibliographic record

VenuePeerJ · 2025
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsnot available
Fundersnot available
KeywordsSystematic reviewOsteoarthritisMEDLINEWhole body vibrationMeta-analysis

Abstract

fetched live from OpenAlex

Objective: Knee osteoarthritis (KOA) is a prevalent degenerative joint disease characterized by pain, stiffness, and limited mobility, substantially impairing quality of life. Vibration therapy has gained attention as a promising nonpharmacological intervention for KOA management. However, existing systematic reviews report inconsistent findings regarding its efficacy and safety. This umbrella review synthesizes evidence from published systematic reviews to provide a comprehensive evaluation of vibration therapy in KOA. Methods: A systematic search was conducted in four electronic databases: PubMed, Physiotherapy Evidence Database (PEDro), Web of Science, and Embase, with the search completed in January 2025. Eligible systematic reviews, with or without meta-analyses, examining the effects of vibration therapy in KOA were included. Two independent reviewers screened titles and abstracts, assessed full text eligibility, and extracted data on study characteristics, interventions, and clinical outcomes. The methodological quality of the included reviews was assessed using the Assessment of Multiple Systematic Reviews 2 (AMSTAR-2) tool, and reviews were categorized as high, moderate, or low quality. Study overlap was evaluated using the Corrected Covered Area (CCA) method to quantify redundancy. Findings were synthesized qualitatively, focusing on outcomes related to pain intensity, physical function, functional mobility and KOA-related disability. Results: Six systematic reviews published between 2015 and 2022 met the inclusion criteria, of which five included meta-analyses. In total, 22 unique primary trials were cumulatively analysed. The average AMSTAR-2 score was 65.7%, ranging from 56% (moderate) to 81% (high quality). The CCA analysis revealed a high degree of overlap (15%) across the reviews, indicating redundancy in primary studies but also reinforcing consistency in evidence. Commonly reported outcomes included the Visual Analogue Scale, muscle strength, Berg Balance Scale, Six Minute Walk Test, Timed Up and Go test, and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). The majority of reviews reported favourable effects of vibration therapy on WOMAC physical function and pain intensity, while fewer reviews supported improvements in functional performance and muscle strength. Conclusion: Vibration therapy appears to be a promising adjunct to conventional rehabilitation for KOA, particularly for improving physical function and knee pain. However, inconsistent evidence regarding its effects on functional performance and muscle strength underscores the need for further high-quality research. Future studies should determine optimal vibration parameters and explore underlying mechanisms to establish evidence based clinical guidelines. Review Registration: PROSPEROCRD42024620119.

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)0.043
metaresearch head score (Gemma)0.159
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.043
Threshold uncertainty score0.228

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.159
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0160.015
Bibliometrics0.0220.016
Science and technology studies0.0010.002
Scholarly communication0.0060.006
Open science0.0030.004
Research integrity0.0030.002
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 head0.024
GPT teacher head0.357
Teacher spread0.334 · 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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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