Effects of Whole Body Vibration Exercise associated with Quadriceps Resistance Exercise on functioning and quality of life in patients with knee osteoarthritis: a randomized controlled trial
Bibliographic record
Abstract
OBJECTIVE: To determine effects of Whole Body Vibration Exercise (WBVE) associated with quadriceps resistance exercises (QRE) versus QRE only on pain, physical function, biomarkers in serum and urine, activities of daily living (ADL), and quality of life in patients with knee osteoarthitis (OA). DESIGN: Randomized-controlled trial . SETTING: Rehabilitation medicine outpatient department of West China Hospital, Chengdu, Sichuan, People's Republic of China. SUBJECTS: Forty-nine patients were assigned to WBVE+QRE and 50 to QRE . MAIN OUTCOME MEASURES: Primary outcomes included pain assessed with visual analogue scale (VAS), Timed up & go test (TUG), 6-min walk distance test (6MWD), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Secondary outcomes comprised range of motion, muscular strength, serum COMP and urinary CTX-II, Lequesne Index (LI), and SF-36. All outcomes were analyzed with mixed effects regression. RESULTS: Compared with QRE, WBVE+QRE showed significantly greater improvement in VAS at 4weeks ( p=0.03), in VAS ( p<0.01), 6MWD ( p=0.01), WOMAC pain ( p=0.01), and WOMAC physical function ( p=0.02) at 16 weeks, and in all primary outcomes at 24 weeks (all p<0.01). CONCLUSION: Over a six months period, WBVE in combination with QRE was superior to QRE in most outcomes.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| 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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".