Efficacy of Hip Arthroscopy for the Management of Septic Arthritis: A Systematic Review
Bibliographic record
Abstract
PURPOSE: This systematic review assessed the role of hip arthroscopic irrigation and debridement for eradication of infection in native joints to ascertain outcomes and complications associated with this surgical approach. METHODS: The Medline, Embase, and PubMed databases were searched on July 20, 2014, for English-language studies that addressed arthroscopic treatment of native septic hip arthritis. The studies were systematically screened and data abstracted in duplicate, with qualitative findings presented. RESULTS: There were 11 eligible studies (1 case-control study, 8 case series, and 2 case reports) reporting on 65 patients (65 hips) treated by arthroscopic irrigation and debridement for septic hip arthritis. The mean length of patient follow-up was 19.1 months (range, 6 to 84 months). The indications for surgery were as follows: pyrexia, anterior groin or hip pain with limited hip range of motion and an inability to bear weight, associated leukocytosis, an elevated erythrocyte sedimentation rate or C-reactive protein level, and/or hip imaging or aspiration results consistent with infection. Specific contraindications for surgery reported across studies included tuberculous of fungal infection, coexistence of osteomyelitis, immunocompromised individuals, and pre-existing surgery on the affected hip. The initial rate of infection eradication was 100%. All studies reported significant improvements in patient pain and function. Improvements were also observed in range of motion, as well as across both the Bennett radiographic and clinical assessments and Harris Hip Score. No complications, major or minor, were reported, and only 1 of 65 hips (1.5%) required revision arthroscopy for recurrence because of a methicillin-resistant Staphylococcus aureus infection. CONCLUSIONS: Arthroscopic native hip irrigation and debridement for septic arthritis appear to comprise a safe and effective treatment option for selected patients (e.g., no deformity, no bacterial infections, and not immunocompromised). Timely diagnosis and intervention, however, remain the most critical prognostic factors for successful outcomes. LEVEL OF EVIDENCE: Level IV, systematic review of Level IV and V studies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.007 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 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".