Title

Patterns and Disparities of Care in Glioblastoma

Abstract

Background: Glioblastoma is an aggressive disease with a defined standard of care offering crucial survival benefits. Disparities in care may influence treatment decisions. This study seeks to evaluate potential patterns in care delivery using the National Cancer Database (NCDB).

Methods: We evaluated the NCDB from 1998 to 2011 for patients diagnosed with glioblastoma older than 20 years of age in order to describe current hospital-based demographics, rates of treatment modality by age, race, gender, likelihood of receiving treatment, and survival probabilities.

Results: From 1998 to 2011, 100672 patients were diagnosed with glioblastoma in the United States. Of these, 54% were younger than 65 years of age, while 20% were 75 years of age or older. The most common type of treatment was surgery (73%), followed by radiation (69%) and chemotherapy (50%). Eleven percent of patients did not receive any form of therapy. Patients receiving no form of treatment were more likely to be older, female, black, or Hispanic. Tumors that did not involve brainstem, ventricles, or the cerebellum were associated with more aggressive treatment and better overall survival. The median survival was 7.5 months. The use of concomitant surgical resection, chemotherapy, and radiation demonstrated greater survival benefit.

Conclusions: Median survival for glioblastoma is significantly less than reported in clinical trials. Sociodemographic factors such as age, gender, race, and socioeconomic status affect treatment decisions for glioblastoma. The elderly are greatly undertreated, as many elderly patients receive no treatment or significantly less than standard of care.

Document Type

Article

Publication Date

2-2019

Notes/Citation Information

Published in Neuro-Oncology Practice, v. 6, issue 1.

© The Author(s) 2018

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Digital Object Identifier (DOI)

https://doi.org/10.1093/nop/npy014

Funding Information

Dr. Dressler, Dr. Dolecek, and Dr. Villano were supported by the National Cancer Institute (R03CA156561) and Dr. Dressler and Dr. Liu were members of the Biostatistics and Bioinformatics Shared Resource Facility of the University of Kentucky Markey Cancer Center (P30CA177558).

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