Evidence map›Paper›PMID 40748464›Full record

ArticleWorld journal of urology2025

Current training landscape for novice robotic surgeons: an international investigative survey by the Junior-ERUS/Young academic urologists (YAU) robotics in urology working group.

Christoph Würnschimmel, Mike Wenzel, Marcio Covas Moschovas, Paolo Dell'Oglio, Marco Paciotti, Carlo Andrea Bravi, Ruben De Groote, Fabrizio Di Maida, Federico Piramide, Filippo Turri and 5 more

Abstract read
In one paragraph

Article in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

15 authors.

Christoph WürnschimmelDepartment of Urology, Luzerner Kantonsspital, Lucerne, Switzerland. c.wuernschimmel@gmail.com.
Mike WenzelDepartment of Urology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany.
Marcio Covas MoschovasGlobal Robotics Institute, AdventHealth, Celebration, FL, USA.
Paolo Dell'OglioDepartment of Urology, ASST Niguarda Hospital, Milan, Italy.
Marco PaciottiDepartment of Urology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Carlo Andrea BraviDepartment of Urology, Northampton General Hospital, Northampton, UK.
Ruben De GrooteDepartment of Urology, OLV Hospital, Aalst, Belgium.
Fabrizio Di MaidaUnit of Oncologic Minimally Invasive Urology and Andrology, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, Florence, Italy.
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, Romania.
Gabriele SorceDivision of Experimental Oncology, Department of Urology, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Nikolaos LiakosDepartment of Urology, Faculty of Medicine, Medical Centre of the University of Freiburg, Freiburg, Germany.
Alberto BredaDepartment of Urology, Fundació Puigvert, Autonomous University of Barcelona, Barcelona, Spain.
Alessandro LarcherDivision of Experimental Oncology, Department of Urology, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhile robotic surgical training is crucial for preparing skilled surgeons, the landscape of available training programs is not well-defined. Many institutions offer structured curricula, yet transparency about training modalities, caseloads, and eligibility criteria for novice surgeons is limited. To address this gap, a structured survey was designed to assess robotic education offerings globally. PATIENTS AND

methodsA web-based survey was distributed to different robotic societies, institutions and dedicated robotic surgery experts, based on the Junior European Association of Urology Robotic Section (J-ERUS) network and the Young Academic Urologists (YAU) Robotic Section between February and September 2024. Furthermore, a peer-esteem snowballing approach allowed the survey to expand its reach through expert referrals. The survey captured information on training modalities, infrastructure, caseload, and case mix. Respondents were required to provide contact details for further follow-up, while their identities and institutions remained confidential.

resultsThe survey achieved a 16.5% response rate, with 80 respondents from 49 institutions confirming robotic training opportunities. Training platforms included Da Vinci multi-port systems (71%), HUGO-RAS (15%), and Versius (8%). Training methods featured simulators (89%), dual-console training (65%), dry-labs (39%), and wet-labs (16%). Variability in training structures was observed, with 32% of institutions offering dedicated fellowships and 68% combining training with clinical duties. Institutions varied in case volumes (100-500 cases per year), and 41% indicated performing over 500 robotic procedures annually. Respondents predominantly answered that robotic surgery novices may access about 20% of these cases.

conclusionThis study highlights the heterogeneity of robotic surgical education and the need for standardized, globally accessible training frameworks. Establishing an international consortium to map training programs and content could enhance transparency and support novice surgeons in selecting institutions that align with their career goals. It is critical to integrate emerging robotic platforms and evolving methodologies into curricula to ensure comprehensive and effective training.

Indexed as

Robotic Surgical ProceduresUrologic Surgical ProceduresUrologyCurriculumHumansInternationalitySurveys and QuestionnairesDry-labRobotic educationRobotic surgerySimulatorSurveyWet-lab

Identifiers

PMID40748464
PMCPMC12316765

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.