Combined hip arthroscopy with periacetabular osteotomy for hip dysplasia: a systematic review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Periacetabular osteotomy (PAO) is a surgical procedure that corrects acetabular dysplasia without necessarily addressing intra-articular pathology. Hip arthroscopy is being increasingly used to address soft tissue pathologies at the time of a PAO. This review aims to determine patient-reported outcome measure scores (PROMs) of combining hip arthroscopy and PAO. This systematic review followed the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines to identify English studies that reported upon patient populations that had PAO's performed with arthroscopy at the time of surgery for correcting developmental hip dysplasia. We identified 428 articles; 14 full-text articles met the inclusion criteria. Between 2011 and 2022, 1083 hips from the selected articles underwent a combined PAO and arthroscopic procedure, with a mean follow-up of 3.7 years. Of the studies that reported it, 63% of the evaluated population were found to have labral tears that required either labral repair (49%), labral debridement (12%) or combined procedure. Multiple PROMs were identified in the literature, with no standardized reporting system used between articles. All articles reported statistically improved patient-reported outcomes from a combined PAO and arthroscopy procedure. There was no difference in PROMs when comparing PAO performed with or without arthroscopy. One study suggested superior outcomes for active individuals who underwent PAO and arthroscopy. Patient-reported outcome scores improve significantly after PAO with or without arthroscopy, with no differences in adverse events, and only limited evidence that active individuals benefit from labral repair.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it