Timely discovery and adequate patient management are crucial in non-small cell lung cancer (NSCLC) since long-term survival is only achievable in early-stage disease. In our study, we aimed to elucidate the effects of time to surgery on survival and to assess the impact of the COVID-19 pandemic on elapsed time until surgery. In total, 2536 Caucasian NSCLC patients who underwent curative-intent lung resection surgery were included in this study. 1 month, 2 months, 77 days, and 91.06 days between CT-based diagnosis and surgery were evaluated as possible cut-off values for worse outcome. Survival curves were estimated by Kaplan-Meier plots, and the differences between groups were compared using the log-rank test. Multivariate analysis was performed using a Cox regression model. Patients with time-to-surgery ≥ 2 months had significantly impaired overall survival (OS) (vs. those with < 2 months; p = 0.002). In our multivariate model, time-to-surgery (p = 0.011), age (p = 0.02), diabetes mellitus (p = 0.02), disease stage (p = 0.0001) and vascular invasion (p < 0.001) all had a significant impact on OS. Importantly, during the COVID-19 pandemic, the elapsed time between diagnosis and surgery increased with a median of 12 days, resulting in a significant delay in time-to-surgery compared to the pre-pandemic period (p < 0.001). Post hoc tests showed, however, that there were no significant differences in time-to-surgery concerning the major waves of COVID-19 infections. Time-to-surgery is an independent predictor of long-term survival in surgically treated NSCLC. In general, the COVID-19 pandemic caused a significant delay in the elapsed time until surgery, but the specific COVID-19 waves had no significant impact on time-to-surgery.
Ghimessy et al. (2025) studied this question.