Critical timing: Impact of delays to surgery on prognosis in stage I-II non-small cell lung cancer.

ABSTRACT:

Background

Delaying surgery affects the prognosis of patients with lung cancer, but the critical time point at which it becomes detrimental to survival. Identifying this critical time point may benefit patients and guide clinical practice.

Methods

Data from patients diagnosed with stage I-II non-small cell lung cancer (NSCLC) were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression analyses were employed to evaluate prognostic factors associated with overall survival (OS) and to identify time points from diagnosis to surgery that significantly impact prognosis. Kaplan-Meier curves and subgroup analyses were conducted to validate the affect of early versus late surgery on OS. Multinomial logistic regressio

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC12118990 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature