A clinical risk model for assessing the survival of patients with stage IA-IIA non-small cell lung cancer after surgery.

ABSTRACT:

Background

The survival of patients with stage IA-IIA non-small cell lung cancer (NSCLC) after surgery is heterogeneous. This study aimed to construct a prognostic risk model to predict the overall survival (OS) of these patients.

Methods

Data from patients (n=9,914) from the Surveillance Epidemiology and End Results (SEER) database were analyzed. The cases were randomly divided into the training and the validation groups. Patients from the Shanghai Pulmonary Hospital (n=270) were also included as an external cohort. Independent significant factors affecting survival in the training cohort were used to construct a nomogram. The precision was evaluated using the concordance index (C-index) and calibration plots. The X-tile software was used to confirm the optimal cut-off valu

SUBMITTER: Qian JY 

PROVIDER: S-EPMC9745515 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature