The Evidence for Hip Arthroscopy: Grading the Current Indications
Bibliographic record
Abstract
PURPOSE: The purpose of this systematic review is to provide a comprehensive analysis of the Level of Evidence and the Grade of Recommendation for hip arthroscopy. METHODS: A literature review was performed (in June 2010) using the PubMed and Cochrane databases. Studies that focused on the efficacy of hip arthroscopy for all therapeutic indications were reviewed to determine their Level of Evidence. The studies were grouped based on indication, and the literature supporting each indication was analyzed and assigned a Grade of Recommendation. A subscale proposed by us was used to further describe the evidence base for indications receiving a Grade of Recommendation indicating poor-quality evidence. RESULTS: Fair evidence (grade B) exists to support the surgical technique of hip arthroscopy for the treatment of femoroacetabular impingement. Poor-quality evidence (grade C(f)) exists to support a recommendation for the use of hip arthroscopy in the treatment of acetabular labral tears, extra-articular lesions, septic arthritis, and loose bodies. There is poor-quality conflicting evidence (C(c)) regarding the use of hip arthroscopy for the treatment of mild to moderate osteoarthritis of the hip. CONCLUSIONS: Although fair evidence (grade B) exists to support the use of hip arthroscopy for the treatment of femoroacetabular impingement, a majority of recognized indications for this surgical technique currently lack adequate evidence-based support in the literature (grade C or grade I). Higher-quality trials (Level I and Level II) are needed to provide support for the increasing application of this surgical technique. We also applied a new subscale to the grades of recommendation for summaries or reviews of orthopaedic surgical studies proposed by Wright et al. to provide a description of the direction in which outcomes are trending in Level IV studies. LEVEL OF EVIDENCE: Level IV, systematic review.
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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 | 0.040 | 0.191 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.011 |
| Bibliometrics | 0.035 | 0.017 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.005 | 0.003 |
| 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".