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

Ye Zhang, Yeji Hu, Jinfeng Xi, Bo Wu, Wenxiong Zhang and Chunling Li

PLOS ONE, 2025, vol. 20, issue 5, 1-17

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 regression was utilized to evaluate factors associated with delays in the time from diagnosis to surgery. Results: We included 55,582 adult patients with stage I-II NSCLC from the SEER database. Time to surgery (TTS) was identified as an independent prognostic factor for OS in stage I-II NSCLC patients through multivariate Cox regression analysis. Compared to surgeries performed within 6 weeks of TTS, those performed after 6 weeks of TTS (HR: 1.22, 95% CI: 1.20–1.25, P

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0319357

DOI: 10.1371/journal.pone.0319357

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