Prediction of symptomatic anastomotic leak after rectal cancer surgery: A machine learning approach
Yu Shen,
Li‐Bin Huang,
Anqing Lu
et al.
Abstract:IntroductionAnastomotic leakage (AL) remains the most dreaded and unpredictable major complication after low anterior resection for mid‐low rectal cancer. The aim of this study is to identify patients with high risk for AL based on the machine learning method.MethodsPatients with mid‐low rectal cancer undergoing low anterior resection were enrolled from West China Hospital between January 2008 and October 2019 and were split by time into training cohort and validation cohort. The least absolute shrinkage and s… Show more
“…We have read with interest the article published by Shen et al 1 The prevention of postoperative anastomosis in rectal cancer has always been a global research hotspot. This is a very meaningful study because it has a good guiding role in clinical practice.…”
“…We have read with interest the article published by Shen et al 1 The prevention of postoperative anastomosis in rectal cancer has always been a global research hotspot. This is a very meaningful study because it has a good guiding role in clinical practice.…”
“…We have received the insightful letter from Xu F et al Thanks for their efforts to refine our previous study. 1 The prevention of anastomotic leak (AL) after low anterior resection for rectal cancer is a meaningful topic. We agree with Xu's idea that smoking, a history of obstruction, low albumin level, and anastomotic ischemia may be risk factors for the occurrence of AL.…”
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