2.4. Statistical Analysis:
The data were compiled and summarized in a Microsoft Excel (2019) spreadsheet, and subsequent statistical analysis was conducted using SPSS software version 22. Quantitative variables were summarized by mean and standard deviation, while categorical variables were represented through frequency and percentage. The normality of numerical data distribution was assessed through the Kolmogorov–Smirnov test, and variance homogeneity was evaluated using the Levene test. We employed Kaplan–Meier survival curves to determine overall survival rates, and differences between survival curves were compared via the log-rank test. Additionally, we utilized a Cox regression analysis to investigate the impact of independent variables on overall survival. Statistical significance was established at a threshold of 0.05, with results considered significant if the p-value was less than 0.05. All reported findings include a 95% confidence interval to ensure accuracy and reliability.