Estabrook, Neil C.Lutz, Stephen T.Johnson, Cynthia S.Lo, Simon S.Henderson, Mark A.2019-05-242019-05-242016Estabrook, N. C., Lutz, S. T., Johnson, C. S., Lo, S. S., & Henderson, M. A. (2016). Does Graded Prognostic Assessment outperform Recursive Partitioning Analysis in patients with moderate prognosis brain metastases?. CNS oncology, 5(2), 69–76. doi:10.2217/cns.15.45https://hdl.handle.net/1805/19478AIM: To compare the clinical utility of the Recursive Partitioning Analysis (RPA) and Graded Prognostic Assessment (GPA) in predicting outcomes for moderate prognosis patients with brain metastases. METHODS & MATERIALS: We reviewed 101 whole brain radiotherapy cases. RPA and GPA were calculated. Overall survival was compared. RESULTS: Sixty-eight patients had moderate prognosis. RPA patient characteristics for increased death hazard were ≤10 WBRT fractions or no surgery/radiosurgery. GPA patients had increased death risk with no surgery/radiosurgery or lower Karnofsky Performance Status. CONCLUSION: The indices have similar predicted survival. Patients scored by RPA with longer radiation schedules had longer survival; patients scored by GPA did not. This indicates GPA is more clinically useful, leaving less room for subjective treatment choices.en-USPublisher PolicyBrain metastasisPrognosisRadiotherapyArticle