Recursive partitioning analysis of prognostic factors for glioblastoma patients aged 70 years or older Academic Article uri icon

Overview

MeSH Major

  • Brain Neoplasms
  • Glioblastoma

abstract

  • This model divides elderly glioblastoma patients into prognostic subgroups that can be easily implemented in both the patient care and the clinical trial settings. This purely clinical prognostic model serves as a backbone for the future incorporation of the increasing number of potential molecular prognostic markers.

publication date

  • November 15, 2012

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC3402652

Digital Object Identifier (DOI)

  • 10.1002/cncr.27570

PubMed ID

  • 22517216

Additional Document Info

start page

  • 5595

end page

  • 600

volume

  • 118

number

  • 22