دورية أكاديمية

What predicts survival in glioblastoma? A population-based study of changes in clinical management and outcome

التفاصيل البيبلوغرافية
العنوان: What predicts survival in glioblastoma? A population-based study of changes in clinical management and outcome
المؤلفون: B. Fekete, K. Werlenius, M. Tisell, A. Pivodic, A. Smits, A. S. Jakola, B. Rydenhag
المصدر: Frontiers in Surgery, Vol 10 (2023)
بيانات النشر: Frontiers Media S.A., 2023.
سنة النشر: 2023
المجموعة: LCC:Surgery
مصطلحات موضوعية: glioblastoma, population-based, survival, prognostic factors, treatment, Surgery, RD1-811
الوصف: BackgroundGlioblastoma is the most common and most aggressive primary brain tumor in adults. Despite multimodal treatment, the median survival time is 15–16 months and 5-year survival rate 5%–10%. The primary goal of this study was to identify prognostic factors for survival in an unselected population of patients operated for glioblastoma. The secondary goal was to explore changes in outcome and the clinical management of this patient group over time.MethodsWe identified 222 consecutive adults operated for glioblastoma between November 2012 and June 2016 at the Department of Neurosurgery, Sahlgrenska University Hospital in Gothenburg, serving a health care region in the western part of Sweden with 1.900.000 inhabitants. Clinical variables were identified and tested as predictors for prognosis in extended Poisson regression models. The results were compared with a previously published cohort from 2004 to 2008, before current standard of care based on molecular tumor diagnosis was fully implemented.ResultsMedian overall survival was 1.07 years, which was significantly longer than in the 2004–2008 cohort (1.07 vs. 0.73 y, age- and sex adjusted HR = 1.89, p
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2296-875X
Relation: https://www.frontiersin.org/articles/10.3389/fsurg.2023.1249366/full; https://doaj.org/toc/2296-875X
DOI: 10.3389/fsurg.2023.1249366
URL الوصول: https://doaj.org/article/8ac32e58bc6e465d96bcc307ea66d3a8
رقم الأكسشن: edsdoj.8ac32e58bc6e465d96bcc307ea66d3a8
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2296875X
DOI:10.3389/fsurg.2023.1249366