Multicenter analysis of risk factors for anastomotic leakage after middle and low rectal cancer resection without diverting stoma: a retrospective study of 319 consecutive patients

2017 ◽  
Vol 32 (10) ◽  
pp. 1431-1437 ◽  
Author(s):  
Wei Zhang ◽  
Zheng Lou ◽  
Qizhi Liu ◽  
Ronggui Meng ◽  
Haifeng Gong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Rectal Cancer ◽  
Retrospective Study ◽  
Anastomotic Leakage ◽  
Low Rectal Cancer ◽  
Cancer Resection ◽  
Rectal Cancer Resection ◽  
Diverting Stoma ◽  
Multicenter Analysis

scholarly journals Prediction model for anastomotic leakage after laparoscopic rectal cancer resection

2020 ◽  
Vol 48 (9) ◽  
pp. 030006052095754
Author(s):  
Enesh Shiwakoti ◽  
Jianning Song ◽  
Jun Li ◽  
Shanshan Wu ◽  
Zhongtao Zhang
Keyword(s):  
Risk Factors ◽  
Rectal Cancer ◽  
Multivariate Analysis ◽  
Prediction Model ◽  
Anastomotic Leakage ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
High Body Mass Index ◽  
Cancer Resection ◽  
Rectal Cancer Resection

Objective This study was performed to identify risk factors for anastomotic leakage (AL) and combine these factors to create a prediction model for the risk of AL after laparoscopic rectal cancer resection. Methods This retrospective study involved 185 patients with rectal cancer who underwent laparoscopic resection from March 2012 to February 2017. Five risk factors were analyzed by multivariate analysis. A prediction model was established by combining the risk factors from the multivariate analysis, and the accuracy of the model was evaluated by a receiver operating characteristic curve. Results The overall AL rate was 17.84%. The multivariate analysis identified the following independent risk factors for AL: high body mass index (odds ratio [OR], 3.009; 95% confidence interval [CI], 1.127–7.125), preoperative radiochemotherapy (OR, 3.778; 95% CI, 1.168–12.219), larger tumor size (OR, 2.710; 95% CI, 1.119–6.562), and longer surgical time (OR, 2.476; 95% CI, 1.033–5.932). We established a prediction model that can evaluate the risk of AL by determining the predictive probability. The area under the curve for the model’s predictive performance was 0.70 (95% CI, 0.598–0.795). Conclusion A prediction model was created to predict the risk of AL after laparoscopic rectal cancer resection.

Minimally invasive approaches to the management of anastomotic leakage following restorative rectal cancer resection

2019 ◽  
Vol 21 (12) ◽  
pp. 1364-1371 ◽  
Author(s):  
B. Creavin ◽  
É. J. Ryan ◽  
M. E. Kelly ◽  
A. Moynihan ◽  
C. E. Redmond ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Minimally Invasive ◽  
Anastomotic Leakage ◽  
Cancer Resection ◽  
Rectal Cancer Resection

Multicenter Analysis of Risk Factors for Anastomotic Leakage After Laparoscopic Rectal Cancer Excision

2013 ◽  
Vol 257 (4) ◽  
pp. 665-671 ◽  
Author(s):  
Jun Seok Park ◽  
Gyu-Seog Choi ◽  
Seon Hahn Kim ◽  
Hyeong Rok Kim ◽  
Nam Kyu Kim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Rectal Cancer ◽  
Anastomotic Leakage ◽  
Multicenter Analysis

Improved laparoscopic transanal pull-through technique for low-rectal cancer resection

2010 ◽  
Vol 9 (10) ◽  
pp. 606-609
Author(s):  
Taiyuan Li ◽  
Jianping Gong ◽  
Jinzhong Duanmu ◽  
Haitao Zhang ◽  
Xiong Lei
Keyword(s):  
Rectal Cancer ◽  
Low Rectal Cancer ◽  
Cancer Resection ◽  
Rectal Cancer Resection ◽  
Pull Through

Impact of anastomotic leakage on oncological outcome after rectal cancer resection

2007 ◽  
Vol 94 (12) ◽  
pp. 1548-1554 ◽  
Author(s):  
H. Ptok ◽  
F. Marusch ◽  
F. Meyer ◽  
D. Schubert ◽  
I. Gastinger ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Anastomotic Leakage ◽  
Oncological Outcome ◽  
Cancer Resection ◽  
Rectal Cancer Resection
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