ReviewJournal of robotic surgery2025
A narrative review and proposed framework for robotic surgical training in Urology for Southeast Asia (SEA): a qualitative survey and expert panel recommendations.
Review 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 1 paper.
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
1 citing paper in PubMed.
- Experience of Robotic Partial Nephrectomy for Localized Renal Tumors: Functional and Oncologic Outcomes.World journal of oncology · 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
24 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robotic surgery has revolutionized modern surgical practices, expanding across multiple specialties due to its precision, reduced invasiveness, and improved patient outcomes. Initially dominated by the da Vinci system, the field has recently seen an influx of new robotic platforms, presenting challenges in training and adaptation for surgeons and surgical teams. The transition to diverse robotic systems necessitates a structured educational framework to ensure competency across varying platforms. This article explores the evolving landscape of robotic surgery, emphasizing the need for a comprehensive training methodology. A qualitative analysis of expert and novice perspectives identified three key domains for robotic surgery education: (1) Foundational Competence, which includes platform-specific training, ergonomics, teamwork, and emergency protocols; (2) Surgical Competence, focusing on systematic procedural training and stepwise surgical execution; and (3) Task-Based Micro-Competence, addressing fundamental skills like hemostasis, lymph node dissection, vascular control, bowel mobilization, and robotic suturing. The framework highlights the importance of platform-specific technical skills, team dynamics, and cognitive ergonomics to enhance surgical efficiency and patient safety. Additionally, it underscores the necessity for standardized training methodologies adaptable to diverse robotic systems. The study advocates for incorporating simulation-based learning, modular training, and emergency drills into robotic surgery education to bridge the gap between traditional and robotic-assisted techniques. As robotic surgery continues to evolve, the proposed structured training approach ensures surgeons and surgical teams are equipped with the skills required to navigate various platforms, optimize patient outcomes, and advance the field of robotic-assisted surgery.
Indexed as
Identifiers
41139357What 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.