Search

Background: Prognostic indices for patients with brain metastases (BM) are needed to individualize treatment and stratify clinical trials. Two frequently used tools to estimate survival in patients with BM are the recursive partitioning analysis (RPA) and the diagnosis-specific graded prognostic assessment (DS-GPA). Given recent advances in therapies and improved survival for patients with BM, this study aims to validate and analyze these 2 models in a modern cohort., Methods: Patients diagnosed with BM were identified via our institution's Tumor Board meetings. Data were retrospectively collected from the date of diagnosis with BM. The concordance of the RPA and GPA was calculated using Harrell's C index. A Cox proportional hazards model with backwards elimination was used to generate a parsimonious model predictive of survival., Results: Our study consisted of 206 patients diagnosed with BM between 2010 and 2019. The RPA had a prediction performance characterized by Harrell's C index of 0.588. The DS-GPA demonstrated a Harrell's C index of 0.630. A Cox proportional hazards model assessing the effect of age, presence of lung, or liver metastases, and Eastern Cooperative Oncology Group (ECOG) performance status score of 3/4 on survival yielded a Harrell's C index of 0.616. Revising the analysis with an uncategorized ECOG demonstrated a C index of 0.648., Conclusions: We found that the performance of the RPA remains unchanged from previous validation studies a decade earlier. The DS-GPA outperformed the RPA in predicting overall survival in our modern cohort. Analyzing variables shared by the RPA and DS-GPA produced a model that performed analogously to the DS-GPA., Competing Interests: The authors have no disclosures relevant to the current work, nor any true/perceived conflicts of interest. Disclosures unrelated to the current work include: P.E.F.: consultant for Monteris Medical; C.R.G.: received grants from the Robert Wood Johnson Harlod Amos Medical Faculty Development Program, the Federal Food and Drug Administration, and the NIH 1R01DE031053-01A1. Consultant for Stryker and Medtronic. Deputy Editor for Spine. Pending patents unrelated to the current work; T.J.Z.: pending patents unrelated to the current work. J.S.: pending patents unrelated to the current work. All other authors have no disclosures unrelated to the current work., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Neuro-Oncology and the European Association of Neuro-Oncology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)