Do sports medicine clinicians have credible alternatives to knee arthroscopy for the degenerative knee?
Bibliographic record
Abstract
The evidence refuting arthroscopy to treat meniscal degeneration and knee osteoarthritis (OA) is clear and compelling.1–3 At least 10 randomised controlled trials and a systematic review attribute knee arthroscopy with a clinically insignificant benefit (approximately 2.4 mm out of 100 mm for improved pain).1 2 Furthermore, knee arthroscopy confers no benefit when compared head to head with a cost-effective, supervised exercise therapy programme.4 Sports medicine clinicians are key providers of care for middle-aged patients with painful knees. If we ‘abandon ship’, abandon arthroscopy as a treatment option for our patients,3 what can we offer them? What can we say when a patient walks into our practice/clinic hoping for an arthroscopic ‘clean up’? What alternatives do we have? The answer should be simple, but sadly, it is not. Current evidence and clinical guidelines recommend supervised exercise therapy and education.5 However, our recent unpublished survey of 116 physiotherapists (Australia and Canada) who regularly treat knee …
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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 | 0.014 | 0.071 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.019 | 0.024 |
| Insufficient payload (model declined to judge) | 0.011 | 0.007 |
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".