Evidence‐Based Indications for Ankle Arthroscopy
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to review the literature to provide a comprehensive description of the Level of Evidence available to support the surgical technique of ankle arthroscopy for the current generally accepted indications and assign a grade of recommendation for each of them. METHODS: A comprehensive review of the literature was performed (in August 2008) by use of the PubMed database. The abstracts from these searches were reviewed to isolate literature that described therapeutic studies investigating the results of different ankle arthroscopic treatment techniques. All articles were reviewed and assigned a classification (I-IV) of Level of Evidence. An analysis of the literature reviewed was used to assign a grade of recommendation for each current generally accepted indication for ankle arthroscopy. RESULTS: There exists fair evidence-based literature (grade B) to support a recommendation for the use of ankle arthroscopy for the treatment of ankle impingement and osteochondral lesions and for ankle arthrodesis. Ankle arthroscopy for ankle instability, septic arthritis, arthrofibrosis, and removal of loose bodies is supported with only poor-quality evidence (grade C). Treatment of ankle arthritis, excluding isolated bony impingement, is not effective and therefore this indication is not recommended (grade C against). Finally, there is insufficient evidence-based literature to support or refute the benefit of arthroscopy for the management of synovitis and fractures (grade I). CONCLUSIONS: There exists adequate evidence-based literature to support the surgical technique of ankle arthroscopy for most current generally accepted indications; however, further studies in this area are needed. 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 | 0.016 | 0.096 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.017 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".