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Prognostic Factors of Survival in Glioblastoma Multiforme Patients—A Retrospective Study

Background: Glioblastoma multiforme (GBM) is the most aggressive brain tumor that occurs in adults. In spite of prompt diagnosis and rapidly administered treatment, the survival expectancy is tremendously poor. Extensive research has been performed in order to establish factors to predict the outcom...

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Autores principales: Șerban, Georgiana, Tămaș, Flaviu, Bălașa, Rodica, Manu, Doina, Tămaș, Corina, Bălașa, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689032/
https://www.ncbi.nlm.nih.gov/pubmed/36359474
http://dx.doi.org/10.3390/diagnostics12112630
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author Șerban, Georgiana
Tămaș, Flaviu
Bălașa, Rodica
Manu, Doina
Tămaș, Corina
Bălașa, Adrian
author_facet Șerban, Georgiana
Tămaș, Flaviu
Bălașa, Rodica
Manu, Doina
Tămaș, Corina
Bălașa, Adrian
author_sort Șerban, Georgiana
collection PubMed
description Background: Glioblastoma multiforme (GBM) is the most aggressive brain tumor that occurs in adults. In spite of prompt diagnosis and rapidly administered treatment, the survival expectancy is tremendously poor. Extensive research has been performed in order to establish factors to predict the outcome of GBM patients; however, worldwide accepted prognostic markers are still lacking. Methods: We retrospectively assessed all adult patients who were diagnosed with primary GBM and underwent surgical treatment during a three-year period (January 2017–December 2019) in the Neurosurgery Department of the Emergency Clinical County Hospital of Târgu Mureș, Romania. Our aim was to find any statistically relevant connections between clinical, imagistic, and histopathological characteristics and patients’ survival. Results: A total of 75 patients were eventually included in our statistical analysis: 40 males and 35 females, with a median age of 61 years. The mean tumor dimension was 45.28 ± 15.52 mm, while the mean survival rate was 4 ± 6.75 months. A univariate analysis demonstrated a statistically significant impact of tumor size, pre-, and postoperative KPSI on survival rate. In addition, a Cox multivariate assessment strengthened previous findings regarding postoperative KPSI (regression coefficient −0.03, HR 0.97, 95% CI (HR) 0.96–0.99, p = 0.002) as a favorable prognostic factor and GBM size (regression coefficient 0.03, HR 1.03, 95% CI (HR) 1.01–1.05, p = 0.005) as a poor prognostic marker for patients’ survival. Conclusions: The results of our retrospective study are consistent with prior scientific results that provide evidence supporting the importance of clinical (quantified by KPSI) and imagistic (particularly tumor dimensions) features as reliable prognostic factors in GBM patients’ survival.
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spelling pubmed-96890322022-11-25 Prognostic Factors of Survival in Glioblastoma Multiforme Patients—A Retrospective Study Șerban, Georgiana Tămaș, Flaviu Bălașa, Rodica Manu, Doina Tămaș, Corina Bălașa, Adrian Diagnostics (Basel) Article Background: Glioblastoma multiforme (GBM) is the most aggressive brain tumor that occurs in adults. In spite of prompt diagnosis and rapidly administered treatment, the survival expectancy is tremendously poor. Extensive research has been performed in order to establish factors to predict the outcome of GBM patients; however, worldwide accepted prognostic markers are still lacking. Methods: We retrospectively assessed all adult patients who were diagnosed with primary GBM and underwent surgical treatment during a three-year period (January 2017–December 2019) in the Neurosurgery Department of the Emergency Clinical County Hospital of Târgu Mureș, Romania. Our aim was to find any statistically relevant connections between clinical, imagistic, and histopathological characteristics and patients’ survival. Results: A total of 75 patients were eventually included in our statistical analysis: 40 males and 35 females, with a median age of 61 years. The mean tumor dimension was 45.28 ± 15.52 mm, while the mean survival rate was 4 ± 6.75 months. A univariate analysis demonstrated a statistically significant impact of tumor size, pre-, and postoperative KPSI on survival rate. In addition, a Cox multivariate assessment strengthened previous findings regarding postoperative KPSI (regression coefficient −0.03, HR 0.97, 95% CI (HR) 0.96–0.99, p = 0.002) as a favorable prognostic factor and GBM size (regression coefficient 0.03, HR 1.03, 95% CI (HR) 1.01–1.05, p = 0.005) as a poor prognostic marker for patients’ survival. Conclusions: The results of our retrospective study are consistent with prior scientific results that provide evidence supporting the importance of clinical (quantified by KPSI) and imagistic (particularly tumor dimensions) features as reliable prognostic factors in GBM patients’ survival. MDPI 2022-10-30 /pmc/articles/PMC9689032/ /pubmed/36359474 http://dx.doi.org/10.3390/diagnostics12112630 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Șerban, Georgiana
Tămaș, Flaviu
Bălașa, Rodica
Manu, Doina
Tămaș, Corina
Bălașa, Adrian
Prognostic Factors of Survival in Glioblastoma Multiforme Patients—A Retrospective Study
title Prognostic Factors of Survival in Glioblastoma Multiforme Patients—A Retrospective Study
title_full Prognostic Factors of Survival in Glioblastoma Multiforme Patients—A Retrospective Study
title_fullStr Prognostic Factors of Survival in Glioblastoma Multiforme Patients—A Retrospective Study
title_full_unstemmed Prognostic Factors of Survival in Glioblastoma Multiforme Patients—A Retrospective Study
title_short Prognostic Factors of Survival in Glioblastoma Multiforme Patients—A Retrospective Study
title_sort prognostic factors of survival in glioblastoma multiforme patients—a retrospective study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689032/
https://www.ncbi.nlm.nih.gov/pubmed/36359474
http://dx.doi.org/10.3390/diagnostics12112630
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