Statistical analysis
death
REGRESSION, SECONDARY, RECURRENCE, EVENT
There are no deviations in the analysis plan compared with the preregistered protocol. The per-protocol analysis set population was used for all analyses. ITT analysis was conducted for the primary end point and secondary survival points only. Continuous variables are expressed as mean (standard deviation (SD)), and categorical variables are expressed as numbers. The differences between the groups were assessed using the The 3-year DFS and OS rates were calculated using the Kaplan-Meier method, and the log-rank test was used to determine significance. The hazard ratios (HRs) comparing the ICG and non-ICG groups were estimated using Cox regression after confirmation of the proportional hazards assumption. Multivariable Cox regression analyses were performed to evaluate the effect of operation type on survival, after adjustment for clinicopathologic covariables that were significantly associated with the outcome in univariable analyses. Factors with a All-cause death was treated as a competing event for recurrence. The cumulative incidence in the presence of competing risks was calculated, and competing-risk survival regression was used as an alternative to Cox regressionAll data were analyzed using SPSS statistical software, version 22.0 (SPSS Inc), and the R software environment, version 4.2.0 (R Foundation for Statistical Computing). Statistical analysis was performed from July to October 2022. Supplementary Data 