Antibiotic Prophylaxis in the Management of Open Fractures
Bibliographic record
Abstract
BACKGROUND: Evidence with regard to antibiotic prophylaxis for patients with open fractures of the extremities is limited. We therefore conducted a systematic survey addressing current practice and recommendations. METHODS: We included publications from January 2007 to June 2017. We searched Embase, MEDLINE, CINAHL, the Cochrane Central Registry of Controlled Trials (CENTRAL), and the Cochrane Database of Systematic Reviews for clinical studies and surveys of surgeons; WorldCat for textbooks; and web sites for guidelines and institutional protocols. RESULTS: We identified 223 eligible publications that reported 100 clinical practice patterns and 276 recommendations with regard to systemic antibiotic administration, and 3 recommendations regarding local antibiotic administration alone. Most publications of clinical practice patterns used regimens with both gram-positive and gram-negative coverage and continued the administration for 2 to 3 days. Most publications recommended prophylactic systemic antibiotics. Most recommendations suggested gram-positive coverage for less severe injuries and administration duration of 3 days or less. For more severe injuries, most recommendations suggested broad antimicrobial coverage continued for 2 to 3 days. Most publications reported intravenous administration of antibiotics immediately. CONCLUSIONS: Current practice and recommendations strongly support early systemic antibiotic prophylaxis for patients with open fractures of the extremities. Differences in antibiotic regimens, doses, and durations of administration remain in both practice and recommendations. Consensus with regard to optimal practice will likely require well-designed randomized controlled trials. CLINICAL RELEVANCE: The current survey of literature systematically provides surgeons' practice and the available expert recommendations from 2007 to 2017 on the use of prophylactic antibiotics in the management of open fractures of extremities.
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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 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".