Alexander Beulens

237 Identifying surgical factors predicting postoperative urinary continence in robot-assisted radical prostatectomy respond to the different steps in the PROTEST assessment method17. The second category encompassed peri-operative events which could be related to postoperative outcomes. These events were defined in the PROTEST Assessment method.17 Data analysis Data analysis was performed using SPSS statistics v24 (IBM, NY). Frequency statistics were calculated for patient demographic data and surgeon scores. Correlation between observed scores on the one hand and postoperative functional outcome on the other hand were calculated using a Spearman Rho test. Odds ratios (OR) and 95% confidence intervals (CIs) were calculated. The Wilcoxon signed-rank test was used to compare differences in results between the matched patient groups. The McNemar’s test was used in order to compare differences in results between the matched patient groups in case of dichotomous variables. The predictions by the experts were correlated with the postoperative status of the patients using a crosstab, to determine any significant correlations between variables the Pearson chi square or fishers’ exact tests were used. Inter-observer agreement was calculated using Cohen’s kappa, which was interpreted using the guidelines from Landis & Koch19,20. Statistical significance was set at p <.05 based on a two-tailed comparison. Due to the retrospective nature of the study, participants were not subjected to any study treatments or actions. Surgical videos and medical information used were registered as standard of care in the patients’ medical file. Therefore, the Medical Research Involving Human Subjects Act does not apply and no informed consent was obtained. However, during the screening of patients, the medical records will be carefully checked for objection to medical research. This study was granted approval from the institutional medical committee.

RkJQdWJsaXNoZXIy MTk4NDMw