1. Antibiotic prophylaxis for the prevention of surgical site infections following colorectal surgery: protocol for network meta-analysis of randomized trials
- Author
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Shahrzad Motaghi, Francesca Mulazzani, Samer G. Karam, Fatemeh Mirzayeh Fashami, Tayler Buchan, Sara Ibrahim, Shahryar Moradi Falah Langeroodi, Sahar Khademioore, Rachel J. Couban, Lawrence Mbuagbaw, Dominik Mertz, and Mark Loeb
- Subjects
Antibiotic prophylaxis ,Surgical site infection ,Colorectal surgery ,Network meta-analysis ,Medicine - Abstract
Abstract Background Surgical site infections continue to be a significant challenge following colorectal surgery. These can result in extended hospital stays, hospital readmissions, increased treatment costs, and negative effects on patients’ quality of life. Antibiotic prophylaxis plays a crucial role in preventing infection during surgery, specifically in preventing surgical site infections after colorectal surgery in adult patients. However, the optimal antibiotic regimen is still unclear based on current evidence. Considering the limitations of existing reviews, our goal is to conduct a comprehensive systematic review and network meta-analysis of randomized controlled trials to evaluate the comparative benefits and harms of available antibiotic prophylaxis regimens for preventing surgical site infections following colorectal surgery in adult patients. Methods We will search the Medline, EMBASE, CINAHL, Scopus, and Cochrane Central Register of Controlled Trials databases to identify relevant randomized controlled trials. We will include trials that (1) enrolled adults who underwent colorectal surgeries and (2) randomized them to any systemic administration of antibiotic (single or combined) prophylaxis before surgery compared to an alternative systemic antibiotic (single or combined antibiotic), placebo, control, or no prophylactic treatment. Pairs of reviewers will independently assess the risk of bias among eligible trials using a modified Cochrane risk of bias instrument for randomized trials. Our outcomes of interest include the rate of surgical site infection within 30 days of surgery, hospital length of stay, 30-day mortality, and treatment-related adverse effects. We will perform a contrast-based network meta-analysis using a frequentist random-effects model assuming a common heterogeneity parameter. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach will be utilized to assess the certainty of evidence for treatment effects. Discussion By synthesizing evidence from available RCTs, this study will provide valuable insight for clinicians, patients, and health policymakers on the most effective antibiotics for preventing surgical site infection. Systematic review registration PROSPERO CRD42023434544.
- Published
- 2024
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