Evidence map›Paper›PMID 42474926›Full record

ArticleJournal of robotic surgery2026

Structured robotic surgery training in Germany: a five-year evaluation of the German curriculum for robot-assisted radical prostatectomy.

A Handke, C Wagner, N Liakos, M Janssen, Ö Kayaci-Güner, M Grabbert, M Haas, J Bründl, B Ubrig, S Siemer and 4 more

Abstract read
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Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

A Handke *Department of Urology and Neurourology, Marien Hospital Herne, Ruhr-University Bochum, Hölkeskampring 40, 44625, Herne, Germany.
C Wagner *Department of Urology, Urologic Oncology and Robot-Assisted Surgery, St. Antonius Hospital Gronau, Gronau, Germany.
N LiakosDepartment of Urology, Faculty of Medicine, Medical Centre of the University of Freiburg, Freiburg, Germany.
M JanssenDepartment of Urology, Faculty of Medicine, Medical Centre of the University of Münster, Münster, Germany.
Ö Kayaci-GünerEuropean Robotic Institute, Gronau, Germany.
M GrabbertDepartment of Urology, Faculty of Medicine, Medical Centre of the University of Freiburg, Freiburg, Germany.
M HaasDepartment of Urology, Caritas St. Josefkrankenhaus, University of Regensburg, Regensburg, Germany.
J BründlDepartment of Urology, Caritas St. Josefkrankenhaus, University of Regensburg, Regensburg, Germany.
B UbrigDepartment of Urology, Augusta-Kranken-Anstalt Bochum, University Hospital of the Rhein-Ruhr-University, Bochum, Germany.
S SiemerDepartment of Urology, Faculty of Medicine, Medical Centre of the University of Saarland, Homburg/Saar, Germany.
C GratzkeDepartment of Urology, Faculty of Medicine, Medical Centre of the University of Freiburg, Freiburg, Germany.
R MoritzDepartment of Urology and Neurourology, Marien Hospital Herne, Ruhr-University Bochum, Hölkeskampring 40, 44625, Herne, Germany.
Analena HandkeDepartment of Urology and Neurourology, Marien Hospital Herne, Ruhr-University Bochum, Hölkeskampring 40, 44625, Herne, Germany. analena.handke@elisabethgruppe.de.
German Society of roboter-assistied Urology and the Working Group for Laparoscopics and Robotics of the Germany Society of Urology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robot-assisted radical prostatectomy (RARP) has become a standard procedure for the surgical management of localized and locally advanced prostate cancer (PC). Surgical outcomes are closely linked to the training and experience of the operating surgeon. In 2017, the German Society for Robot-assisted Urology (DGRU) in cooperation with the working group Robotics and laparoscopy of the German Urology Society (DGU) launched a structured national curriculum designed to train new console surgeons through a standardized, competency-based educational program. This study evaluates the first five years of the curriculum, focusing on operative exposure, post-curricular activity, and perceived career impact. A structured electronic survey was distributed to all 48 participants who completed the curriculum between 2017 and 2022. Data were collected from December 2022 to February 2023 using an anonymized online questionnaire. Items included demographics, training conditions, operative volume, outcomes of RARP cases, and professional development. Descriptive statistics were generated from the anonymized dataset. Response rate was 85%, and 93% of respondents had completed the curriculum at the time of data collection. Most trainees reported substantial console exposure and institutional support during training. After graduation, approximately half of the participants had independently performed at least 100 RARPs, while 7.3% reported no complete independent procedures. The majority indicated professional advancement, increased involvement in robotic surgery, and participation in teaching. Functional and oncological outcomes were self-reported by participants and were broadly consistent with published benchmark ranges. Overall satisfaction with the curriculum was high, and participants strongly recommended the program. The first five years of the DGRU RARP curriculum demonstrate successful integration of robotic surgery into clinical practice, substantial operative activity after graduation, and positive participant-reported career development. These findings support the value of structured national training programs in complex urologic surgery.

Indexed as

CurriculumProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresSurgeonsClinical CompetenceGermanyHumansMaleSurveys and QuestionnairesRadical prostatectomyRARPRobotic curriculumRoboticsSeducation

Identifiers

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Registered trials

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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.