Categorical variables were presented as frequencies (proportions), while continuous variables were expressed as the mean ± standard deviation. Urodynamic parameters at baseline and after treatment were compared using the paired t-test, which was also used to determine differences in symptom scores and objective parameters between groups. On the other hand, the analysis of variance was used to determine differences between subgroups. The Chi-square test was used to analyze categorical variables.
To identify the predictive factors of a good treatment outcome, we used a forward selection method to perform multivariate analyses. Receiver operating characteristic (ROC) curve analyses were performed to identify the optimum cutoff value for predicting better outcomes for DU patients. Accordingly, the optimal cutoff value was indicated by the point on the ROC curve that was closest to the upper left-hand corner. All statistical analyses were performed using SPSS for Windows (Version 16.0; SPSS, Chicago, IL, USA). A p-value of <0.05 was considered statistically significant.
To identify the predictive factors of a good treatment outcome, we used a forward selection method to perform multivariate analyses. Receiver operating characteristic (ROC) curve analyses were performed to identify the optimum cutoff value for predicting better outcomes for DU patients. Accordingly, the optimal cutoff value was indicated by the point on the ROC curve that was closest to the upper left-hand corner. All statistical analyses were performed using SPSS for Windows (Version 16.0; SPSS, Chicago, IL, USA). A p-value of <0.05 was considered statistically significant.
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