Literature DB >> 23928040

Multi-institutional validation of a preoperative scoring system which predicts survival for patients with glioblastoma.

Kaisorn L Chaichana1, Courtney Pendleton, Lola Chambless, Joaquin Camara-Quintana, Jay K Nathan, Laila Hassam-Malani, Gordon Li, Griffith R Harsh, Reid C Thompson, Michael Lim, Alfredo Quinones-Hinojosa.   

Abstract

Glioblastoma is the most common and aggressive type of primary brain tumor in adults. Average survival is approximately 1 year, but individual survival is heterogeneous. Using a single institutional experience, we have previously identified preoperative factors associated with survival and devised a prognostic scoring system based on these factors. The aims of the present study are to validate these preoperative factors and verify the efficacy of this scoring system using a multi-institutional cohort. Of the 334 patients in this study from three different institutions, the preoperative factors found to be negatively associated with survival in a Cox analysis were age >60 years (p<0.0001), Karnofsky Performance Scale score ≤80 (p=0.03), motor deficit (p=0.02), language deficit (p=0.04), and periventricular tumor location (p=0.04). Patients possessing 0-1, 2, 3, and 4-5 of these variables were assigned a preoperative grade of 1, 2, 3, and 4, respectively. Patients with a preoperative grade of 1, 2, 3, and 4 had a median survival of 17.9, 12.3, 10, and 7.5 months, respectively. Survival of each of these grades was statistically significant (p<0.05) in log-rank analysis. This grading system, based only on preoperative variables, may provide patients and physicians with prognostic information that may guide medical and surgical therapy before any intervention is pursued.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Glioblastoma; Prognosis; Scoring system; Surgery; Survival

Mesh:

Year:  2013        PMID: 23928040      PMCID: PMC4086640          DOI: 10.1016/j.jocn.2013.02.007

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  21 in total

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