Estimating progression-free survival in patients with glioblastoma using routinely collected data

Title: Estimating progression-free survival in patients with glioblastoma using routinely collected data
Authors: Kelly, C
Majewska, P
Ioannidis, S
Raza, MH
Williams, M
Item Type: Journal Article
Abstract: Glioblastoma (GBM) represents 80% of all primary malignant brain tumours in adults. Prognosis is poor, and there is a clear correlation between disease progression and deterioration in functional status. In this pilot study we assess whether we can estimate disease progression and progression free survival (PFS) from routinely collected electronic healthcare data. We identified fifty patients with glioblastoma who had chemo-radiotherapy. For each patient we manually collected a reference data set recording demographics, surgery, radiotherapy, chemotherapy, follow-up and death. We also obtained an electronic routine data set for each patient by combining local data on chemotherapy/radiotherapy and hospital admissions. We calculated overall survival (OS) and PFS using the reference data set, and estimated them using the routine data sets using two different methods, and compared the estimated measures with the reference measures. Overall survival was 68% at 1 year and median OS was 12.8 months. The routine data correctly identified progressive disease in 37 of 40 patients and stable disease in 7 of 10 patients. PFS was 7.4 months and the estimated PFS using routine data was 9.1 and 7.8 months with methods 1 and 2 respectively. There was acceptable agreement between reference and routine data in 49 of 50 patients for OS and 35 of 50 patients for PFS. The event of progression, subsequent treatment and OS are well estimated using our approach, but PFS estimation is less accurate. Our approach could refine our understanding of the disease course and allow us to report PFS, OS and treatment nationally.
Issue Date: 27-Sep-2017
Date of Acceptance: 20-Aug-2017
ISSN: 0167-594X
Publisher: Springer Verlag
Start Page: 621
End Page: 627
Journal / Book Title: Journal of Neuro-Oncology
Volume: 135
Issue: 3
Copyright Statement: © The Author(s) 2017. This article is an open access publication
Sponsor/Funder: Imperial College Healthcare NHS Trust- BRC Funding
Funder's Grant Number: RDB01 79560
Keywords: Science & Technology
Life Sciences & Biomedicine
Clinical Neurology
Neurosciences & Neurology
Routine data
Overall survival
Progression free survival
1109 Neurosciences
1112 Oncology And Carcinogenesis
Oncology & Carcinogenesis
Publication Status: Published
Appears in Collections:Division of Surgery
Division of Cancer
Faculty of Medicine

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