Lung cancer prognostic index: a risk score to predict overall survival after the diagnosis of non-small-cell lung cancer.

ABSTRACT:

Introduction

Non-small-cell lung cancer outcomes are poor but heterogeneous, even within stage groups. To improve prognostic precision we aimed to develop and validate a simple prognostic model using patient and disease variables.

Methods

Prospective registry and study data were analysed using Cox proportional hazards regression to derive a prognostic model (hospital 1, n=695), which was subsequently tested (Harrell's c-statistic for discrimination and Cox-Snell residuals for calibration) in two independent validation cohorts (hospital 2, n=479 and hospital 3, n=284).

Results

The derived Lung Cancer Prognostic Index (LCPI) included stage, histology, mutation status, performance status, weight loss, smoking history, respiratory comorbidity, sex, and age. Two-year overa

SUBMITTER: Alexander M 

PROVIDER: S-EPMC5572183 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature