Physiotherapy, including quadriceps exercises and patellar taping, for knee osteoarthritis with predominant patello-femoral joint involvement: randomized controlled trial.
Bibliographic record
Abstract
OBJECTIVE: To design and carry out a randomized controlled trial of a complex, physical therapy based intervention for patello-femoral joint (PFJ) osteoarthritis (OA) of the knee, examining medium to longterm outcomes. METHODS: The participants, who had knee pain and predominant PFJ OA, were recruited from a large population based study. The study design was a controlled trial using prerandomization and a blind observer, comparing the intervention package with standard nonphysiotherapy treatment. The physiotherapy intervention was delivered in local community health centers and clinics and comprised education, quadriceps and functional exercises, and patellar taping delivered by a single physiotherapist in nine 30-minute sessions over 10 weeks, with advice to continue thereafter. The outcome measures were pain in the worse knee by 100 mm visual analog scale score, the disability domain of the Western Ontario and McMaster University OA index (WOMAC), and quadriceps muscle strength by maximum voluntary contraction. RESULTS: Eighty-seven patients were recruited to the study, 43 were randomized to the treatment arm. At 5 months post-baseline (10 weeks post-treatment) the treatment group had a small decrease in pain and a significant increase in quadriceps strength of the index knee. After one year there were no significant differences in any outcome measure, most of which had returned towards pretreatment levels. CONCLUSION: The treatment package produced small improvements in knee pain scores and quadriceps muscle strength 10 weeks after the end of the treatment period. There was no difference between the 2 groups at 12 months.
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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 | 0.004 | 0.004 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".