Hip Arthroscopy Improves Outcomes With Moderate Conversion to Total Hip Arthroplasty Rates in Patients Aged 50 Years or Older: A Systematic Review
Bibliographic record
Abstract
PURPOSE: The purpose of this systematic review was to assess the indications, outcomes, and complications of hip arthroscopy in individuals 50 years of age or older over the past 5 years. METHODS: The electronic databases PUBMED, MEDLINE, and EMBASE were searched on March 3, 2022, for studies assessing the use of primary hip arthroscopy for patients aged 50 years or older from the past 5 years. The Methodological Index for Non-randomized Studies (MINORS) was used to assess study quality. Data are presented descriptively. RESULTS: Overall, 17 studies were included, consisting of 6,696 patients (37.5%) with a mean age of 61.4 ± 5.0 years and a median follow-up of 24 months (range: 1.4-70.1). Indications for hip arthroscopy in patients aged 50 years or older were unspecified/undefined (93.8%), mixed pathology (i.e., combined femoroacetabular impingement [FAI], labral tear, osteoarthritis, etc.) (2.7%), and FAI (2.6%). Eleven studies demonstrated significant improvement in functional outcome scores from baseline to final follow-up. Of the 6 studies that compared outcomes across multiple age groups, 3 demonstrated significantly worse functional outcomes, and 2 demonstrated significantly higher rates of conversion to THA for older patients compared to younger patients. Lastly, the overall complication rates ranged from 0 to 38.3%. The rate of conversion to THA ranged from 0 to 34.6%, occurring between 6 and 60 months postoperatively. CONCLUSIONS: Hip arthroscopy for patients aged 50 years or older yields significant improvements in patient-reported outcomes postoperatively compared to baseline, with a moderate rate of conversion to THA (range: 0 to 34.6%). Clinicians should consider patient history (e.g., imaging, comorbidities, etc.) and values when electing for hip arthroscopy in the older population. LEVEL OF EVIDENCE: IV, systematic review of Level III and IV 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 | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".