@article{JTD31838,
author = {Thiago Pimentel Muniz and Victor Hugo Fonseca de Jesus and Victor Aurélio Ramos Sousa and Malu Viter da Rosa Barbosa and Vladmir Cláudio Cordeiro de Lima},
title = {A modified recursive partitioning analysis for predicting overall survival in patients with non-small cell lung cancer and central nervous system metastases},
journal = {Journal of Thoracic Disease},
volume = {11},
number = {9},
year = {2019},
keywords = {},
abstract = {Background: Non-small cell lung cancer (NSCLC) is a major cause of brain metastases. Nonetheless, patients with central nervous system (CNS) spread are poorly represented in clinical trials. We sought to evaluate the overall survival (OS) of patients with NSCLC and CNS metastases.
Methods: Patients with NSCLC and CNS metastases treated at A. C. Camargo Cancer Center from January 2007 to December 2017 were selected. The primary endpoint was OS following the diagnosis of CNS metastasis. The Kaplan-Meier method was applied to calculate OS. Prognostic factors were assessed by the Cox Proportional Hazards model. As an exploratory analysis, a survival tree was generated based upon the two most statistically significant variables in the multivariate model and one additional clinically meaningful variable.
Results: In total, 311 patients were included. Median OS was 10.3 months (95% CI, 8.7–13.1 months). ECOG performance status 2–4 (HR 2.12; 95% CI, 1.40–3.20; P},
issn = {2077-6624}, url = {https://jtd.amegroups.org/article/view/31838}
}