Hip Arthroscopy in Patients Less than 25 Years of Age in the Treatment of Labral Tears: Aetiology and Clinical Outcomes
Bibliographic record
Abstract
BACKGROUND: Hip arthroscopy has evolved into a well-established and rapidly growing field of orthopedic surgery for the management of labral tears. The purpose of this study was to review clinical outcomes of patients less than 25 years of age undergoing hip arthroscopy for treatment of a labral tear. METHODS: From 2005 to 2013, 82 hips in 76 patients with mean age of 20.4 (16-25 range) underwent hip arthroscopy for treatment of labral-chondral damage. The Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) and hip disability and osteoarthritis outcome score (HOOS) were recorded at latest follow-up. RESULTS: 36 of 86 hips (42%) had isolated labral pathology with no associated bony pathology (normal alpha and centre-edge angle; no retroversion). Beck score (intraoperative cartilage damage) of 3 or more was significantly associated with an alpha angle of more than 55 degrees (odds ratio [OR], 3.6; confidence interval [CI], 1.2-11.0) and presence of femeroacetabular impingement (OR, 4.5; CI, 1.3-15.2). HOOS pain, sports/recreation, and quality of life significantly improved from preoperative to one year after surgery (p<0.05). 8 patients had re-operations for persistent pain; 5 underwent arthroscopic labral repair; 2 underwent arthroscopy with subsequent periacetabular osteotomy (PAO); 1 had only a periacetabular osteotomy (PAO). Complications included 2 lateral femoral cutaneous nerve deficits and 1 deep vein thrombosis. CONCLUSIONS: Labral tears in patients less than 25 years of age occurs commonly without bony deformities, with those with normal head/neck contour demonstrating significantly less early cartilage damage than those with bony pathology. Hip arthroscopy in young patients can improve function and quality of life with minimal morbidity.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".