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Indexed/Abstracted in: EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 0,536
Fabrizio DAL MORO 1, Marina P. GARDIMAN 2
1 Section of Urology, Department of Surgical, Oncological and Gastroenterological Sciences, University of Padua, Padua, Italy; 2 Department of Pathology, Padua General Hospital, Padua, Italy
BACKGROUND: The plethora of instruments (trifecta, pentafecta, etc.) used to evaluate the outcomes of robotic prostatectomy (RARP) has recently been subjected to criticism. In this paper, a novel approach called ScAPSA (Scoring Adherence to Prostatic Surgical Aims) is proposed to assess surgical proficiency, considering surgical success as perfect adherence to a correct surgical plan, and not related solely to clinical outcomes.
METHODS: In order to define (and quantify) such adherence, and to evaluate both learning curves and surgeons’ skill, a 20-point scoring system has been developed. The specific surgical plan (improved with predictive tools) is compared with pathological findings to identify any surgical errors. Adding data on postoperative complications, a score from 0 (better) to 20 (worst surgical result) can easily be calculated. Considering the number of reported cases needed to complete the RARP learning curve, we decided to analyze the first 25 consecutive single-surgeon RARPs.
RESULTS: Testing ScAPSA on the first consecutive (initial learning curve) single-surgeon RARPs confirmed that this tool can faithfully describe and quantify both learning curves and surgical skill.
CONCLUSIONS: ScAPSA may represent a useful novel tool, not only for describing RARP learning curves objectively, but also for determining and quantifying success rates, allowing surgeons to check intra-operative errors and monitor their own surgical proficiency. Further external validations are needed to confirm these results.