A Multi-parametric Prognostic Model Based on Clinical Features and Serological Markers Predicts Overall Survival in Non-small Cell Lung Cancer Patients With Chronic Hepatitis B Viral Infection
Abstract:Background
To develop and validate a multi-parametric prognostic model based on clinical features and serological markers to estimate overall survival (OS) in non-small cell lung cancer (NSCLC) patients with chronic hepatitis B viral (HBV) infection.
Methods
The prognostic model was generated by using Lasso regression in training cohort. The incremental predictive value of the model to traditional TNM staging and clinical treatment for individualized survival was evaluated by concordance index (C-index), tim… Show more
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