Detection method in multivariate prognostic models
lung cancer, bronchioloalveolar carcinomas, NSCLC, cancer stage
LUNG CANCER, BRONCHIOLOALVEOLAR CARCINOMA, NSCLC, LUNG CANCER
We further assess whether detection method has independent prognostic significance, beyond other commonly used variables (age, sex, stage, etc.) and the relative contribution of detection method to prognostic model performance. An existing lung cancer prognostic model, the Lung Cancer Prognostic Index (LCPI), was constructed using a cohort of Multivariate Cox PH model to predict overall survival following diagnosis with lung cancer.HR, hazard ratio; CI, confidence interval.Table Model coefficients for the prognostic variables agree well with what has been published in the literature. Hazard ratios increase with higher cancer stage at diagnosis, male sex, higher age, and smoking. The Cox model presented here reproduces findings from studies that found that bronchioloalveolar carcinomas have better prognosis than most NSCLC histological subtypes