Ontology highlight
ABSTRACT: Objective
This study aimed to construct a nomogram to effectively predict the overall survival (OS) of patients with early-stage non-small-cell lung cancer (NSCLC).Methods
For the training and internal validation cohorts, a total of 26,941 patients with stage I and II NSCLC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. A nomogram was constructed based on the risk factors affecting prognosis using a Cox proportional hazards regression model. And 505 patients were recruited from Jiaxing First Hospital for external validation. The discrimination and calibration of the nomogram were evaluated by C-index and calibration curves.Results
A Nomogram was created after identifying independent prognostic factors using univariate and multifa
SUBMITTER: Zhou L
PROVIDER: S-EPMC9476583 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature