Primary central nervous system lymphoma: The memorial sloan-kettering cancer center prognostic model Academic Article uri icon

Overview

MeSH Major

  • Central Nervous System Neoplasms
  • Lymphoma
  • Models, Theoretical

abstract

  • Age and performance status were the only variables identified on standard multivariate analysis. Cut point analysis of age determined that patients age < or = 50 years had significantly improved outcome compared with older patients. RPA of 282 patients identified three distinct prognostic classes: class 1 (patients < 50 years), class 2 (patients > or =50; Karnofsky performance score [KPS] > or = 70) and class 3 (patients > or = 50; KPS < 70). These three classes significantly distinguished outcome with regard to both overall and failure-free survival. Analysis of the RTOG data set confirmed the validity of this classification. CONCLUSION The MSKCC prognostic score is a simple, statistically powerful model with universal applicability to patients with newly diagnosed PCNSL. We recommend that it be adopted for the management of newly diagnosed patients and incorporated into the design of prospective clinical trials.

publication date

  • December 20, 2006

Research

keywords

  • Academic Article

Identity

Language

  • eng

Digital Object Identifier (DOI)

  • 10.1200/JCO.2006.08.2941

PubMed ID

  • 17116938

Additional Document Info

start page

  • 5711

end page

  • 5

volume

  • 24

number

  • 36