Learning curve of single-port robot-assisted simple prostatectomy: a risk-adjusted CUSUM analysis
Lorenzo Santodirocco, Luca A. Morgantini, Marwan Alkassis, Alexandru Turcan, Flavia Tamborino, Filippo Carletti, Simone Crivellaro

TL;DR
This study evaluates the learning curve for a specific robotic prostate surgery and finds that proficiency is achieved after about 33 cases.
Contribution
The study introduces a risk-adjusted CUSUM analysis to determine the learning curve for single-port robot-assisted prostatectomy.
Findings
Prostatic volume and BMI are significant predictors of operative duration.
Proficiency in the procedure is achieved after 33 cases, with consolidation after 75 procedures.
Operative time and hospital stay improved significantly across learning phases.
Abstract
Purpose: To evaluate the learning curve of robotic-assisted simple prostatectomy (RASP) using a transvesical approach and to identify the impact of patient-related factors, such as prostatic volume and Body Mass Index (BMI), on operative efficiency. Materials and methods: A retrospective analysis of 103 consecutive RASP procedures performed by a single surgeon was conducted. A multiple linear regression model was developed to calculate predicted operative times adjusted for prostatic volume and BMI. Risk-adjusted Cumulative Sum (RA-CUSUM) analysis was applied to the residuals to characterize the learning curve. Perioperative outcomes were compared across the identified phases using the χ² test or Fisher’s exact test for categorical variables and one-way ANOVA or the Kruskal-Wallis test for continuous variables. Results: Both prostatic volume (p < 0.001) and BMI (p = 0.029) were…
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Taxonomy
TopicsMinimally Invasive Surgical Techniques · Prostate Cancer Diagnosis and Treatment · Urinary Bladder and Prostate Research
