Vertical whole body vibration for treatment of knee osteoarthritis: a pilote monocentric prospective, randomized trial
Bibliographic record
Abstract
INTRODUCTION: Osteoarthritis of the knee (KOA) is a leading cause of disability in the aging population. The treatment of choice in most stages is a conservative multimodal approach. Previous studies were able to prove the efficiency of physical therapy for improvement. Therefore physical therapy, besides pain medication, is one of the most common used forms of therapy for KOA. This study aims to evaluate the possible efficiency of whole-body vibration (WBV) compared to physical therapy. This might benefit patients to whom physical therapy is not accessible. MATERIALS AND METHODS: Patients with primary Gonarthrosis grade II or III were recruited. Included patients were randomly allocated to two groups. One group was treated by physical therapy and the other one with WBV. Treatment duration was six weeks. An Intention-to-Treat analysis was performed. Effectiveness was evaluated by Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Outcome Measures in Rheumatology Committee (OMERACT) and Short-Form-Health-Survey 12 (SF-12) at seven, twelve and 26 weeks. RESULTS: Of 51 patients recruited, 39 patients were finally included. Overall, both treatments were able to show improvements. The SF-12 Score was improved in both groups without significant difference (p = 0.487). The conventional group showed insignificant vaster pain reduction (p = 0.926). Whereas WBV resulted in insignificant improved function (p = 0.144), reduced stiffness (p = 0.931) and improved total score (p = 0.295). Response to therapy reduced over time in both groups. Although more patients of the WBV group reported improvement of their general health status, average improvement was better at the conventional group. CONCLUSIONS: This study was able to show that, for the conservative treatment of knee osteoarthritis grade II and III, WBV is a non-inferior therapy compared to conventional physiotherapy. Both were able to improve the status of the patients and may be used based on the accessibility and preferences of affected patients.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".