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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

2020-08-21

Abstract excerpt

<title>Abstract</title> <p>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 t...

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Literature Corpus work
280aa524-03ea-5480-b228-6132bd5830bc
DOI
10.21203/rs.3.rs-63205/v1
Open publication

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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 InfectionDOI 10.21203/rs.3.rs-63205/v1
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