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
• ISSN: 0025-7974; 1536-5964; 1536-5964
• DOI: 10.1097/MD.0000000000013419

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 2018. There will be no language restrictions. Randomized clinical trials that compare robotic gastrectomy, laparoscopic gastrectomy, or open gastrectomy for patients with gastric cancer will be included. The risk of bias of included studies will be assessed by the Cochrane Collaboration's tool for assessing risk of bias in randomized trial. The outcomes of the study include operation time, estimated blood loss, time of ambulation, times to first flatus, time of oral intake, hospitalization, and the occurrence of complication. If sufficient data is collected and adequate clinical homogeneity is established among studies, we will conduct pairwise meta-analyses and Bayesian network meta-analyses for all related outcome measures. The study does not involve human subjects and does not need ethical approval and patient consent. The results of the network meta-analysis will be disseminated in a peer-reviewed journal for publication.