Improving the Lung Cancer Clinical Trial Development by Incorporating Competing Risk Factors.

ABSTRACT:

Introduction

Distinct from other diseases, as cancer progresses, both the symptoms and treatments evolve, resulting in a complex, time-dependent relationship. Many competing risk factors influence the outcome of cancer. An improved method was used to evaluate the data from 6 non-small-cell lung cancer (NSCLC) clinical trials combined in our center since 2016 to deal with the bias caused by competing risk factors. Material and Methods. Data of 118 lung cancer patients were collected from 2016 to 2020. Fine and Gray's model for competing risk was used to evaluate survival of different treatment group compares with the classic survival analysis model.

Results

Immunotherapy had better progression-free survival than chemotherapy. (HR: 0.62, 95% CI: 0.41-0.95, p = 0.

SUBMITTER: Wenbo Z 

PROVIDER: S-EPMC8457938 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature