Minimally invasive and open gastrectomy for gastric cancer: A protocol for systematic review and network meta-analysis

• Published in: Medicine (Baltimore) Vol. 97; no. 48; p. e13419
• Main Authors: Wang, Xixiong, Li, Zhiqiang, Chen, Meizhu, Wu, Chenming, Fu, Yexiang
• Format: Journal Article
• Language: English
• Published: United States the Author(s). Published by Wolters Kluwer Health, Inc 01.11.2018; Wolters Kluwer Health
• Subjects: Bayes Theorem; Blood Loss, Surgical - statistics & numerical data; Gastrectomy - adverse effects; Gastrectomy - methods; Humans; Laparoscopy - adverse effects; Laparoscopy - methods; Length of Stay - statistics & numerical data; Network Meta-Analysis as Topic; Operative Time; Outcome Assessment, Health Care; Randomized Controlled Trials as Topic; Robotic Surgical Procedures - adverse effects; Robotic Surgical Procedures - methods; Stomach Neoplasms - surgery; Study Protocol Systematic Review; Systematic Reviews as Topic

The aim of this study is to find the better treatment for gastric cancer by comparing robotic gastrectomy, laparoscopic gastrectomy, and open gastrectomy using Bayesian network meta-analysis. We will search PubMed, Embase, and the Cochrane Library for eligible studies published before 1 September 20...