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A systematic review and network meta-analysis protocol of adjuvant chemotherapy regimens for resected gastric cancer.

Authors :
Ge L
Hou L
Yang Q
Wu Y
Shi X
Li J
Yang K
Source :
Medicine [Medicine (Baltimore)] 2019 Feb; Vol. 98 (7), pp. e14478.
Publication Year :
2019

Abstract

Background: Gastric cancer is the third leading cause of cancer death in the world. The benefit of adjuvant chemotherapy has been demonstrated by published individual patient data meta-analysis and Cochrane systematic review. However, there is no consensus on which is the optimal adjuvant chemotherapy regimens. Present network meta-analysis aims to compare the differences of effect between all available adjuvant chemotherapy regimens in improving overall survival and disease-free survival, and to rate the certainty of evidence from present network meta-analysis.<br />Methods: We will conduct this systematic review and network meta-analysis using Bayesian method and according to Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) statement. We will search PubMed, EMBASE.com, the Cochrane Central Register of Controlled Trials (CENTRAL), Chinese National Knowledge Infrastructure (CNKI), and Chinese Biological Medical Database (CBM), and ClinicalTrials.gov (http://clinicaltrials.gov/) to identify randomized controlled trials (RCTs) comparing adjuvant chemotherapy to surgery alone. We will assess the risk of bias of individual RCTs using a modified version of Cochrane tool. We will also use the advance of GRADE to rate the certainty of network meta-analysis. Data analysis will be performed with R-3.4.1 and WinBUGS software.<br />Results: The results of this study will be published in a peer-reviewed journal.<br />Discussion: To the best of our knowledge, this systematic review and network meta-analysis will firstly use both direct and indirect evidence to compare the differences of all available adjuvant chemotherapy regimens for resected gastric cancer patients. This is a protocol of systematic review and meta-analysis, so the ethical approval and patient consent are not required.

Details

Language :
English
ISSN :
1536-5964
Volume :
98
Issue :
7
Database :
MEDLINE
Journal :
Medicine
Publication Type :
Academic Journal
Accession number :
30762769
Full Text :
https://doi.org/10.1097/MD.0000000000014478