Outcomes and Complications of Arthroscopic Treatment for Septic Arthritis of the Hip: A Systematic Review.
Bibliographic record
Abstract
Objectives: The exact role and safety of arthroscopy in SAH management remain contentious. This systematic review aims to assess the outcomes and complications of arthroscopic treatment, shedding light on its efficacy and safety profile. Methods: Following PRISMA guidelines, searches were conducted in PubMed, Scopus, Embase, and Web of Science until January 25, 2024. Eligible studies included SAH patients undergoing arthroscopic treatment. Data extraction covered demographics, clinical findings, and functional outcomes. Quality assessment used NIH case series assessment and Newcastle-Ottawa Scale. Quantitative analysis focused on Hip Harris Score, post-operative pain rate, and revision rate using a random-effects model. Comprehensive Meta-Analysis (CMA) software version 3.3 facilitated analyses. Results: The primary search yielded 1,662 articles, after screening the records, 35 study included. In case report studies, 18 patients were analyzed with an average age of 33.7 years. Complications included joint ankylosis, osteonecrosis, muscle atrophy, and osteopenia. Revision surgery was performed in three cases, with one due to infection. In case series studies, 295 patients with an average age of 15.6 years had complications such as joint collapse, femoral nerve palsy, and avascular necrosis. Thirteen revision cases were reported. Among 18 case series, arthroscopic complications were noted in nine studies, while six studies reported none. Full range of motion was achieved in 13 studies, and pain resolution in 11. Conclusion: Utilizing arthroscopic techniques for treating septic arthritis of the hip represents a safe, effective, and minimally invasive choice, demonstrating favorable clinical results, relatively low rates of revision and complications, and rapid rehabilitation periods.
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 | 0.007 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".