Journal article
Lung cancer prognostic index: A risk score to predict overall survival after the diagnosis of non-small-cell lung cancer
M Alexander, R Wolfe, D Ball, M Conron, RG Stirling, B Solomon, M MacManus, A Officer, S Karnam, K Burbury, SM Evans
British Journal of Cancer | NATURE PUBLISHING GROUP | Published : 2017
DOI: 10.1038/bjc.2017.232
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 ..
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Funding Acknowledgements
We would like to thank hospital and registry staff for their contributions to study and registry enrolment and data acquisition. In particular we acknowledge the contribution of Professor Catriona McLean, director of anatomical pathology Alfred Health, for assisting in the ascertainment of results for mutation testing. The funding for the study was obtained from Australian Post Graduate Award Monash University.