Clinical Predictors of Overall Survival in Very Elderly Patients With Glioblastoma: A National Cancer Database Multivariable Analysis

Neurosurgery 96:373–385, 2025

• Study Focus: The study analyzes clinical predictors of overall survival in very elderly patients (aged 80 and older) with glioblastoma, using data from the National Cancer Database.

• Patient Demographics: It includes 578 very elderly patients and 2836 elderly patients (aged 65-79), highlighting differences in insurance status and treatment patterns.

• Treatment Patterns: Very elderly patients are less likely to receive gross total resection (GTR), radiotherapy (RT), or chemotherapy (CT) compared to younger elderly counterparts, despite these treatments improving overall survival.

• Survival Outcomes: GTR, RT, and CT are associated with improved survival in very elderly patients, suggesting aggressive treatment may benefit selected patients.

• Statistical Methods: The study employs multivariable regression analysis and Cox proportional-hazards models to assess the effects of age and treatment on survival.

• Key Findings: Aggressive treatment approaches, including GTR, RT, and CT, should be considered for very elderly patients, aligning with patient and family goals.

• Limitations: The study acknowledges limitations in meeting the Cox proportional hazard assumption and suggests further research on quality of life post-treatment.

• Conclusion: The study supports offering standard multimodal treatment protocols for glioblastoma to patients aged 65 and older, enhancing external validity across the U.S.