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Omentoplasty to reduce anastomotic leak in colorectal surgery: a meta-analysis

Journal

ANZ JOURNAL OF SURGERY
Volume 92, Issue 7-8, Pages 1651-1657

Publisher

WILEY
DOI: 10.1111/ans.17553

Keywords

anastomosis; colorectal; leak; omentoplasty; prevention

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Omentoplasty may reduce the rate of overall and clinical anastomotic leaks in colorectal surgery, but heterogeneity in the data limits definitive conclusions. Further well-designed trials are needed to investigate this technique.
Background Anastomotic leaks (AL) remain a devastating complication following intestinal anastomoses resulting in increased morbidity and mortality. Wrapping the anastomosis with omentum may be protective although data are conflicting. We performed a meta-analysis to assess the effect of omentoplasty on colorectal anastomoses. Methods PubMed, EMBASE and Cochrane databases were searched for relevant articles from inception until August 2021. All randomized controlled trials (RCT) that reported on the use of omentoplasty in colon and rectal surgery were included. The primary outcome was rate of overall AL while secondary outcomes included clinical and radiological AL, overall reoperation and mortality. Random effects models were used to calculate pooled effect size estimates. Sensitivity analyses were also performed. Results Four RCTs were included capturing 1067 patients. The mean (SD) age of the cohort was 61.5 (+/- 14.8) years. On random effects analysis, omentoplasty reduced rate of overall (OR 0.43, 95% CI = 0.21-0.87, p = 0.02) and clinical AL (OR = 0.35, 95% CI = 0.15-0.81, p = 0.01). However, there was no difference in radiological AL (OR = 0.77, 95% CI = 0.40-1.47, p = 0.42), overall reoperations (OR 0.48, 95% CI = 0.18-1.32, p = 0.16) or mortality (OR 0.52, 95% CI = 0.12 to-2.18, p = 0.37). On sensitivity analysis, assessing rectal anastomoses only, the results for overall AL remained similar (OR 0.28, 95% CI = 0.12-0.61, p = 0.002). Conclusion Although omentoplasty appears to reduce the rate of overall and clinical AL, the heterogeneity in the data prevents definitive recommendations from being made. Further well-designed trials are needed to investigate this technique.

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