%0 Journal Article %T Turnbull-Cutait pull-through coloanal anastomosis versus standard coloanal anastomosis plus diverting ileostomy for low anterior resection: a meta-analysis and systematic review. %A Pompeu BF %A Pasqualotto E %A Pigossi BD %A Marcolin P %A de Figueiredo SMP %A Bin FC %A Formiga FB %J Langenbecks Arch Surg %V 409 %N 1 %D 2024 Jun 18 %M 38888662 %F 2.895 %R 10.1007/s00423-024-03379-9 %X OBJECTIVE: Coloanal anastomosis with loop diverting ileostomy (CAA) is an option for low anterior resection of the rectum, and Turnbull-Cutait coloanal anastomosis (TCA) regained popularity in the effort to offer patients a reconstructive option. In this context, we aimed to compare both techniques.
METHODS: PubMed, Cochrane, and Scopus were searched for studies published until January 2024. Odds ratios (RRs) with 95% confidence intervals (CIs) were pooled with a random-effects model. Statistical significance was defined as p < 0.05. Heterogeneity was assessed using the Cochran Q test and I2 statistics, with p-values inferior to 0.10 and I2 >25% considered significant. Statistical analysis was conducted in RStudio version 4.1.2 (R Foundation for Statistical Computing). Registered number CRD42024509963.
RESULTS: One randomized controlled trial and nine observational studies were included, comprising 1,743 patients, of whom 899 (51.5%) were submitted to TCA and 844 (48.5%) to CAA. Most patients had rectal cancer (52.2%), followed by megacolon secondary to Chagas disease (32.5%). TCA was associated with increased colon ischemia (OR 3.54; 95% CI 1.13 to 11.14; p < 0.031; I2 = 0%). There were no differences in postoperative complications classified as Clavien-Dindo ≥ IIIb, anastomotic leak, pelvic abscess, intestinal obstruction, bleeding, permanent stoma, or anastomotic stricture. In subgroup analysis of patients with cancer, TCA was associated with a reduction in anastomotic leak (OR 0.55; 95% CI 0.31 to 0.97 p = 0.04; I2 = 34%).
CONCLUSIONS: TCA was associated with a decrease in anastomotic leak rate in subgroups analysis of patients with cancer.