Therapeutic Effect of Whole Body Vibration on Chronic Knee Osteoarthritis
Bibliographic record
Abstract
OBJECTIVE: To investigate the effect on pain reduction and strengthening of the whole body vibration (WBV) in chronic knee osteoarthritis (OA). METHODS: PATIENTS WERE RANDOMLY DIVIDED INTO TWO GROUPS: the study group (WBV with home based exercise) and control group (home based exercise only). They performed exercise and training for 8 weeks. Eleven patients in each group completed the study. Pain intensity was measured with the Numeric Rating Scale (NRS), functional scales were measured with Korean Western Ontario McMaster score (KWOMAC) and Lysholm Scoring Scale (LSS), quadriceps strength was measured with isokinetic torque and isometric torque and dynamic balance was measured with the Biodex Stability System. These measurements were performed before training, at 1 month after training and at 2 months after training. RESULTS: NRS was significantly decreased in each group, and change of pain intensity was significantly larger in the study group than in the control group after treatment. Functional improvements in KWOMAC and LSS were found in both groups, but no significant differences between the groups after treatment. Dynamic balance, isokinetic strength of right quadriceps and isometric strengths of both quadriceps muscles improved in both groups, but no significant differences between the groups after treatment. Isokinetic strength of left quadriceps did not improve in both groups after treatment. CONCLUSION: In chronic knee OA patients, WBV reduced pain intensity and increased strength of the right quadriceps and dynamic balance performance. In comparison with the home based exercise program, WBV was superior only in pain reduction and similarly effective in strengthening of the quadriceps muscle and balance improvement.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".