Antibiotic Prophylaxis for the Prevention of Infectious Complications following Prostate Biopsy: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
PURPOSE: Infectious complications following prostate biopsy are increasing and fluoroquinolone prophylaxis has recently been banned by the European Commission. In this systematic review we summarize the evidence for different antibiotic prophylaxis regimens. MATERIALS AND METHODS: We searched MEDLINE®, Embase® and Cochrane Database for randomized controlled trials (inception to October 2019) assessing antimicrobial interventions in prostate biopsy. Primary outcome was infectious complications. Exclusion criteria were simultaneous interfering interventions. GRADE (Grading of Recommendations, Assessment, Development and Evaluations) was used to assess the certainty of evidence. Protocol was registered with PROSPERO (CRD42015026354). RESULTS: =71%, participants 2,597, studies 9), but not using a random model (p=0.07). No difference was observed in infectious complications based on route or timing of antimicrobial prophylaxis. The certainty of evidence was rated as low/very low. CONCLUSIONS: In countries where fluoroquinolones are allowed as antibiotic prophylaxis, a minimum of a full 1-day administration as well as targeted therapy in case of fluoroquinolone resistance is recommended. In countries with a ban on fluoroquinolones, fosfomycin is a good alternative, as is augmented prophylaxis, although no established standard combination exists to date.
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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 | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.022 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".