Literature DB >> 11121634

The prognostic significance of midline shift at presentation on survival in patients with glioblastoma multiforme.

E S Gamburg1, W F Regine, R A Patchell, J M Strottmann, M Mohiuddin, A B Young.   

Abstract

PURPOSE: While patients with glioblastoma multiforme (GBM) who present with midline shift have a presumably worse prognosis, there is little literature evaluating the prognostic significance of this presentation in multivariate analysis in the context of other known prognostic factors. METHODS AND MATERIALS: From March 1981 to September 1993, 219 patients underwent irradiation for intracranial glioma at our institution. One hundred fourteen patients with a diagnosis of a primary GBM were analyzed for the influence of the presence of midline shift at diagnosis on survival with respect to other known prognostic factors, including age, Karnofsky performance status (KPS), and extent of surgery. Eighty-five patients (74%) presented with midline shift. Surgical treatment consisted of subtotal/total resection in 86 patients (75%). Among patients presenting with midline shift, 68 (80%) underwent subtotal/total resection before irradiation.
RESULTS: Multivariate analysis of the entire cohort of patients found none of the potential prognostic factors analyzed to significantly influence survival. The overall median survival was 6 months. However, when multivariate analysis was limited to patients with a KPS of > or = 70, only the presence of midline shift and age were found to significantly influence survival. Patients with a KPS > or = 70 and with midline shift present at diagnosis had a median survival of 8 months, as compared to 14 months for those not having midline shift at presentation (p = 0.04). Patients with a KPS > or = 70 and age > 50 years had a median survival of 5 months as compared to 11 months for those < or = 50 (p = 0.02).
CONCLUSION: In this series, where 80% of patients who presented with a midline shift underwent decompressive resection of GBM before irradiation, the presence of midline shift at diagnosis remained an independent prognostic factor influencing survival among good performance status patients. While the role of decompressive surgery in this setting is likely of some benefit, the extent of this benefit remains to be defined.

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Year:  2000        PMID: 11121634     DOI: 10.1016/s0360-3016(00)01410-3

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  17 in total

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Review 2.  Prognostic factors in patients with recently diagnosed incurable cancer: a systematic review.

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Review 3.  Understanding the effect of categorization of a continuous predictor with application to neuro-oncology.

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4.  Prognostic factors for survival in 676 consecutive patients with newly diagnosed primary glioblastoma.

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Journal:  Neuro Oncol       Date:  2007-11-09       Impact factor: 12.300

5.  Imaging features of invasion and preoperative and postoperative tumor burden in previously untreated glioblastoma: Correlation with survival.

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6.  Multivariate analysis of clinical prognostic factors in patients with glioblastoma multiforme treated with a combined modality approach.

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7.  Multicentre prospective collection of newly diagnosed glioblastoma patients: update on the Lombardia experience.

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8.  Correlation of tumor topography and peritumoral edema of recurrent malignant gliomas with therapeutic response to intranasal administration of perillyl alcohol.

Authors:  Clovis O Da Fonseca; Julio Thome Silva; Igor Rodrigo Lins; Marcela Simão; Adriano Arnobio; Débora Futuro; Thereza Quirico-Santos
Journal:  Invest New Drugs       Date:  2009-01-13       Impact factor: 3.850

9.  Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM.

Authors:  Forrest W Crawford; Inas S Khayal; Colleen McGue; Suja Saraswathy; Andrea Pirzkall; Soonmee Cha; Kathleen R Lamborn; Susan M Chang; Mitchel S Berger; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-11-15       Impact factor: 4.130

10.  Quantification of glioblastoma mass effect by lateral ventricle displacement.

Authors:  Tyler C Steed; Jeffrey M Treiber; Michael G Brandel; Kunal S Patel; Anders M Dale; Bob S Carter; Clark C Chen
Journal:  Sci Rep       Date:  2018-02-12       Impact factor: 4.379

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