A modified recursive partitioning analysis for predicting overall survival in patients with non-small cell lung cancer and central nervous system metastases | Zendy

Thiago Pimentel Muniz | Zendy; Victor Hugo Fonseca de Jesus | Zendy; Victor Aurélio Ramos Sousa | Zendy; Malu Viter da Rosa Barbosa | Zendy; Vladmir Cláudio Cordeiro de Lima | Zendy

Open Access

A modified recursive partitioning analysis for predicting overall survival in patients with non-small cell lung cancer and central nervous system metastases

Author(s) -

Thiago Pimentel Muniz,

Victor Hugo Fonseca de Jesus,

Victor Aurélio Ramos Sousa,

Malu Viter da Rosa Barbosa,

Vladmir Cláudio Cordeiro de Lima

Publication year - 2019

Publication title -

journal of thoracic disease

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.682

H-Index - 60

eISSN - 2077-6624

pISSN - 2072-1439

DOI - 10.21037/jtd.2019.08.115

Subject(s) - medicine , recursive partitioning , oncology , lung cancer , proportional hazards model , cohort , multivariate analysis , survival analysis , prognostic variable , clinical endpoint , cancer , population , brain metastasis , metastasis , clinical trial , environmental health

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.

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