ReviewJournal of clinical medicine2024
Simulation and Training in Robot-Assisted Urological Surgery: From Model to Patient.
Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Quality over quantity: early performance predicts suturing proficiency in robotic surgery simulation.Journal of robotic surgery · 2026Observational
- Safe Implementation of Robotic Colorectal Surgery: Balancing Surgical Training and Patient Safety with the Dual-Console System.Journal of clinical medicine · 2026Article
- The Nerve-Sparing Quality (NSQ) Score: A Novel Intraoperative Scoring System for Assessing Nerve-Sparing Quality During Robot-Assisted Radical Prostatectomy-A Concept and Feasibility Study.Journal of clinical medicine · 2026Article
- Does training on robotic virtual reality simulators improve the post-training robotic surgical skills of surgeons? A systematic review and meta-analysis.Journal of minimal access surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background: Simulation-based training has revolutionized surgical education, providing a solution to the changing demands of surgical training and performance. The increasing demand for standardized training in robotic surgery has accelerated the adoption of simulation-based training as a necessary component of modern surgical education. This study examines the existing literature on training approaches employed in robot-assisted urological surgery; (2) Methods: The authors conducted a standardized search of online databases. Upon collecting the articles, the authors assessed their relevance and content before proceeding with the drafting of the text; (3) Results: The use of simulators is supported by convincing evidence that shows an advantage in the acquisition of robotic skills. Urological societies have created detailed training programs for robotic surgery that guide beginners through the entire process of skill acquisition; (4) Conclusions: The future landscape for robotic urology training is likely to involve organized, obligatory, and centralized training, which may be overseen by urologic associations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.