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Prognostic factors for glioblastoma patients - a clinical population-based study

Artikel i vetenskaplig tidskrift
Författare Boglarka Fekete
Katja Werlenius
Charlotte Örndal
Bertil Rydenhag
Publicerad i Acta Neurologica Scandinavica
Volym 33
Nummer/häfte 6
Sidor 434–441
ISSN 0001-6314
Publiceringsår 2016
Publicerad vid Institutionen för kliniska vetenskaper, Avdelningen för onkologi
Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap och rehabilitering
Institutionen för biomedicin, avdelningen för patologi
Sidor 434–441
Språk en
Länkar dx.doi.org/10.1111/ane.12481
Ämnesord glioblastoma, population-based study, prognostic factors, survival
Ämneskategorier Neurologi

Sammanfattning

OBJECTIVES: To address in a retrospective and population-based study prognostic factors for survival time after diagnosis and surgery for glioblastoma multiforme (GBM). MATERIAL AND METHODS: During the study period, 430 patients were identified at the multidisciplinary team conferences as newly diagnosed GBM, 201 of these were considered not to benefit from surgery, and thus, a total of 229 consecutive adult patients with GBM were operated between January 2004 and December 2008 at Sahlgrenska University Hospital and were retrospectively analyzed. Potential predictors of survival were statistically analyzed using Poisson regression models. RESULTS: Median survival was 0.73 years. Multivariable analysis showed the following factors to positively influence survival: younger age at surgery, secondary tumor genesis, unifocal tumor location (vs multifocal), resection (vs biopsy only), radiotherapy, and combination of radiotherapy and chemotherapy. CONCLUSION: This population-based study supports the importance of surgery instead of biopsy only, followed by radiotherapy and chemotherapy, a finding which has also been stated in earlier non-population-based reports. However, it is obvious that the solution is not just surgical radicality followed by optimal oncological treatment. It is of great importance to seek further subclassifications, biomarkers, and new treatment modalities to make a significant change in survival for individuals.

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