Optimal Therapies for Recurrent Glioblastoma: A Bayesian Network Meta-Analysis

Optimal Therapies for Recurrent Glioblastoma: A Bayesian Network Meta-Analysis

The optimal treatment of recurrent glioblastoma (GBM) remains controversial. Therefore, our study aimed to compare and rank active therapies in recurrent GBM. We performed a systematic review and a Bayesian network meta-analysis. We obtained a treatment hierarchy using the surface under the cumulati...

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Bibliographic Details
Main Authors: Wenlin Chen, Yuekun Wang, Binghao Zhao, Penghao Liu, Lei Liu, Yu Wang, Wenbin Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Oncology
Subjects:
bevacizumab
systematic review
combination therapy
recurrent glioblastoma
Bayesian network meta-analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.641878/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.641878/full

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