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ArticleJournal of robotic surgery2025

Assessment of face and content validity of performance metrics for basic robotic surgery skills PBP curriculum: a J-ERUS/YAU consensus on dry-lab training models.

Gabriele Sorce, Marco Paciotti, Christoph Würnschimmel, Mike Wenzel, Carlo Andrea Bravi, Ruben De Groote, Paolo Dell'Oglio, Fabrizio Di Maida, Stefano Tappero, Marcio Covas Moschovas and 14 more

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Article in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Gabriele SorceDepartment of Oncology, Urologic Section, AOU G. Martino, Messina, Italy. gab.sorce@gmail.com.
Marco PaciottiDepartment of Urology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Christoph WürnschimmelDepartment of Urology, Luzerner Kantonsspital, Lucerne, Switzerland.
Mike WenzelDepartment of Urology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt Am Main, Germany.
Carlo Andrea BraviDepartment of Urology, Northampton General Hospital, Northampton, UK.
Ruben De GrooteDepartment of Urology, OLV Hospital, Aalst, Belgium.
Paolo Dell'OglioDepartment of Urology, ASST Niguarda Hospital, Milan, Italy.
Fabrizio Di MaidaUnit of Oncologic Minimally Invasive Urology and Andrology, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, Florence, Italy.
Stefano TapperoDepartment of Urology, ASST Niguarda Hospital, Milan, Italy.
Marcio Covas MoschovasGlobal Robotics Institute, AdventHealth, Celebration, FL, USA.
Federico PiramideDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Filippo TurriDepartment of Urology, ASST Santi Paolo e Carlo, University of Milan, Milan, Italy.
Iulia AndrasDepartment of Urology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca-Napoca, Romania.
Danny Darlington Carbin JosephDepartment of Urology, Royal Surrey NHS Foundation Trust, Guildford, UK.
Ahmed ErakyDepartment of Urology, Icahn School of Medicine at Mount Sinai Hospital, New York, USA.
Nikolaos LiakosDepartment of Urology, University Medical Centre, Medical Faculty of the University of Freiburg, Freiburg, Germany.
Anthony GallagherORSI Academy, Melle, Belgium.
Domenico VenezianoSchool of Medicine, Hofstra Northwell University, New York, USA.
Ton BrouwersEuropean Association of Urology, Arnhem, the Netherlands.
Evangelos LiatzikosDepartment of Urology, University of Patras, Patras, Greece.
Giorgio Ivan RussoUrology Section, Department of Surgery, University of Catania, Catania, Italy.
Alberto BredaDepartment of Urology, Fundació Puigvert, Autonomous University of Barcelona, Barcelona, Spain.
Alessandro LarcherDepartment of Urology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Lombardia, Italy.
Junior ERUS/YAU Working Group on Robot-assisted Surgery of the European Association of Urology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing use of robotic systems in urologic surgery necessitates standardized training curricula to ensure novice surgeons acquire essential skills. This study developed and validated performance metrics for two dry-lab models-a proficiency-based progression (PBP)-based orange model for dissection, suturing, and knot-tying and a catheter-balloon model for vesicourethral anastomosis. An international expert group from the Young Academic Urologists Robotics and the European Robotic Urology Section utilized a Delphi-based consensus process to develop and refine procedural steps, errors, and critical errors for the two models. The orange model simulated dissection, suturing, and knot-tying, while the catheter-balloon model simulated vesicourethral anastomosis during radical prostatectomy. The Delphi rounds ensured > 80% agreement on steps and critical and non-critical errors for each task, refining the models' performance metrics to maximize their educational value. Consensus was achieved on the performance metrics for both models. For the orange model, the procedure was divided into three steps-dissection, suturing, and knot-tying-identifying nine, 13, and five non-critical errors, respectively, with three critical errors recognized. The catheter-balloon model included two steps-suturing and knot-tying-identifying 13 and five non-critical errors, respectively, with three critical errors recognized, including anastomosis leakage. The developed performance metrics for the orange and catheter-balloon models offer a structured and accessible approach to training novice surgeons in essential robotic surgical skills. These models can be easily integrated into various training settings and form a core component of a PBP curriculum, ensuring the safe and effective training of future robotic surgeons.

Indexed as

Clinical CompetenceCurriculumRobotic Surgical ProceduresUrologic Surgical ProceduresAnastomosis, SurgicalConsensusDelphi TechniqueHumansModels, AnatomicProstatectomySimulation TrainingSuture TechniquesCurriculumModular trainingProficiency-based progressionRobotic skills

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.