A Comparison of Supine and Lateral Decubitus Positions for Hip Arthroscopy: A Systematic Review of Outcomes and Complications
Bibliographic record
Abstract
PURPOSE: This systematic review examines outcomes and risk profiles of the hip arthroscopy in the supine versus lateral decubitus positions to elucidate any superiority of one approach over the other. METHODS: Three databases (Embase, PubMed, and Medline) were searched for studies that addressed hip arthroscopy performed in either position, and were subsequently screened by two reviewers with data abstracted in duplicate. RESULTS: Similar outcomes were observed. Supine studies showed a greater mean postoperative improvement for modified Harris hip score (33.74), visual analog scale (-3.99), nonarthritic hip score (29.61), Harris hip score (35.73), and hip outcome score (31.4). Lateral decubitus studies showed greater improvement using the Western Ontario and McMaster University Osteoarthritis (14.76) score. Supine studies reported more neuropraxic injuries (2.06% v 0.47%), labral penetration (0.65% v 0%), and heterotopic ossification (0.21% v 0%). Lateral decubitus studies reported more fluid extravasation (0.21% v 0.05%) and missed loose bodies (0.08% v 0.01%). Similar rates of revision (1.8% lateral, 1.4% supine) and conversion to open procedures (2.6% in lateral, 2.0% in supine) were also identified. CONCLUSIONS: Because of quality of evidence, direct comparisons are currently limited; however, the supine position is associated with more neuropraxic injuries, labral penetration, and heterotopic ossification, whereas lateral decubitus has increased risk of fluid extravasation and missed loose bodies. At this time, no evidence exists to establish superiority of one position. LEVEL OF EVIDENCE: Level IV, systematic review of Level II, 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 | 0.009 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.010 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 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".