Clinical outcome scores for arthroscopic femoral osteochondroplasty in femoroacetabular impingement: a quantitative systematic review
Bibliographic record
Abstract
BACKGROUND AND AIMS: Femoroacetabular impingement is the abnormal contact of the proximal femur and acetabulum during motion. It causes hip pain and joint degeneration in young patients. This systematic review aims to clarify the clinical effect of arthroscopic femoral osteochondroplasty for cam lesions and to review the available literature for the general medical readership, including providers of primary and secondary care. METHODS AND RESULTS: Electronic databases were searched for studies of arthroscopic femoral osteochondroplasty in primary femoroacetabular impingement. A total of 2618 article titles, 242 abstracts and 33 full text articles were considered. Ultimately nine studies with clinical outcome scores met the inclusion criteria and were included in the qualitative systematic review. Six studies were suitable for meta-analysis using an inverse variance, random effects model (RevMan software). In the nine studies, improvements were seen in Western Ontario and McMaster Universities Osteoarthritis index, Non-arthritic Hip Score and Modified Harris Hip Scores. Across the six studies suitable for meta-analysis (537 patients), a 24-point weighted mean improvement in Non-arthritic hip score was seen. This yielded a large overall effect size of 1.6. CONCLUSION: Arthroscopic femoral osteochondroplasty appears to be a beneficial treatment for primary femoroacetabular impingement, with a large effect size seen across six eligible studies.
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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 | 0.024 | 0.093 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.014 |
| Bibliometrics | 0.017 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".