Spss statistic for windows version 23

Only data from patients who had completed the protocol regularly and successfully
were included. Frequency of the categorical variables was expressed as absolute
number and as a percentage. Qualitative variables were expressed as median and
interquartile range (IQR). Chi-square test was used for qualitative variables
comparison. For quantitative variables, Mann–Whitney U test
(baseline analysis) and Wilcoxon signed-rank test (pre–post analysis) were used.
Statistical significance was set at p < 0.05 values. Effect
size was calculated through biserial correlation coefficient
(r_bis). Percentual changes in EG and CG were
also calculated. Software IBM SPSS Statistic for Windows, Version 23.0 (IBM
Corp., Armonk, NY, USA) was used for the data analysis.

LC, DFS, and MFS were calculated from the start date of radiotherapy until the date of the first clinical or radiological confirmation of disease recurrence. Actuarial curves were calculated using the Kaplan–Meier method.16 (link) In the descriptive tables, statistical summaries were expressed as numbers (with percentages) or medians (with ranges) for continuous variables while absolute and relative frequencies for categorical ones. Using the Log rank test, the impact on LTFS on the following parameters was analyzed:17 hypertension, diabetes, alcohol consumption, smoking habit, chemotherapy, and hormone therapy. Hypertension, diabetes, smoking habits, chemotherapy and hormone therapy were simply categorized as ‘yes’ or “no” while we considered patients who took at least one dose of alcohol per day as alcohol users. We defined as statistically significant a two-sided p-value < 0.05. Statistical analysis was performed using IBM SPSS Statistic for Windows version 23.0 (Released 2015. Armonk, NY: IBM Corp.). A multivariate analysis based on the Cox proportional-hazards regression model was not performed to estimate hazard ratios of cutaneous and subcutaneous toxicities due to lack of statistical significance (p < 0.05) or trends (p < 0.1) at univariate analysis, in all but one single parameter.