Hip Arthroscopy after Traumatic Hip Dislocation
Bibliographic record
Abstract
BACKGROUND: Traumatic posterior dislocation of the hip joint usually results from high-energy trauma, which can cause additional injuries that may need to be addressed after reduction. PURPOSE: This study was undertaken to present arthroscopic findings after traumatic posterior hip dislocation in patients with mechanical hip symptoms. STUDY DESIGN: Case series; Level of evidence, 4. METHODS: All patients treated with hip arthroscopy between 2002 and 2006 for mechanical hip symptoms after traumatic posterior hip dislocation with subsequent closed reduction were included in this study. The time between closed reduction and arthroscopy, arthroscopic findings and treatment, preoperative and last follow-up WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index) scores, and last follow-up radiographs were analyzed. Complications or the need for further surgical treatment are reported. RESULTS: There were 17 patients (13 male, 4 female) with an average age of 28.5 years (range, 19-37 years). The average time between closed reduction and arthroscopy was 3 months. Fourteen patients had anterior labral tears, 6 had posterior labral tears, 16 had acetabular chondral damage, all had femoral chondral damage, and 14 had intra-articular fragments. The preoperative WOMAC score was 46; the last follow-up (average 45 months) WOMAC score was 87 (range, 45-93); this was considered statistically significant (P = .001). One patient required total hip replacement for osteoarthritis and 1 presented with osteonecrosis and is waiting for hip replacement. CONCLUSION: The clearest indication for arthroscopy after traumatic posterior hip dislocation was loose fragments inside the joint. Arthroscopy was also performed in every patient with mechanical hip symptoms. Intra-articular damage was demonstrated in every case. Most of the patients had significant improvement after hip arthroscopy.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".