Statistical analysis
REGRESSION
The estimated sample size was 2 × 50 = 100 patients. The analysis was based on an expected 50% decrease of the percentage of patients for whom peroperative placement of hemostatic clips was required (power = 80%, Statistical analyses were performed using IBM SPSS version 28 (IBM Corporation, Armonk, New York, USA). Outcomes were described as absolute number with percentage for categorical variables and as mean with standard deviation (SD) for parameters with normal distribution. For skewed data we used log transformation to create normally distributed data.Differences in categorical data were tested using the Chi-squared test or Fisher’s exact test and differences in continuous data were tested using the independent sample t test or Mann–Whitney U test, as appropriate. In addition to the primary statistical tests, exploratory analyses, including Chi-squared test and linear or logistic regression analysis, were conducted to assess potential associations between variables of interest. Results were evaluated at a significance threshold of 