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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

2020-09-04

Abstract excerpt

<title>Abstract</title> <p>features and serological markers to estimate overall survival (OS) in non-small cell lung cancer (NSCLC) patients with chronic hepatitis B viral (HBV) infection.<bold>Methods: </bold>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 w...

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Literature Corpus work
df6e21a5-078f-5f75-8098-a4688d3216da
DOI
10.21203/rs.3.rs-69252/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-69252/v1
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