
Second-line Treatments for Advanced Gastric Cancer: A Network Meta-Analysis of Overall Survival Using Parametric Modelling Methods
Author(s) -
Rebecca Harvey
Publication year - 2017
Publication title -
oncology and therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.125
0eISSN - 2366-1070
pISSN - 2366-1089
DOI - 10.1007/s40487-017-0048-0
Subject(s) - meta analysis , ramucirumab , medicine , parametric statistics , survival analysis , cancer , randomized controlled trial , random effects model , statistics , mathematics
Advanced gastric cancer (AGC) is one of the most common forms of cancer and remains difficult to cure. There is currently no recommended therapy for second-line AGC in the UK despite the availability of various interventions. This paper aims to compare different interventions for treatment of second-line AGC using more complex methods to estimate relative efficacy, fitting various parametric models and to compare results to those published adopting conventional methods of synthesis.