ArticleJournal of robotic surgery2022
Impact of robotic single and dual console systems in the training of minimally invasive gynecology surgery (MIGS) fellows.
Article in Journal of robotic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Overview of dual console robotic training for surgical residents: a systematic review.Journal of robotic surgery · 2026Pooled it
- Intraoperative Teaching in Robotic-Assisted Surgery-A Systematic Review.Journal of clinical medicine · 2026Review
- Live, proctored robotic training for the novice robotic surgeon: outcomes and educational value of the Portsmouth Robotic Essentials Course.Journal of robotic surgery · 2026Article
- A swine model for surgical training in various types of robotic liver resection with surgical videos.Journal of robotic surgery · 2025Article
- Comparisons between aviation and robot-assisted surgery in gynaecology: lessons from safety practices in high-risk industries.Journal of robotic surgery · 2025Article
- Employing the Aviation Model to Reduce Errors in Robotic Gynecological Surgery: A Narrative Review.Healthcare (Basel, Switzerland) · 2024Review
- The importance of non-technical skills in robot-assisted surgery in gynaecology.Journal of robotic surgery · 2024Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
The advantages of dual console use in robotic surgical education have not been described. The aims of this study are to compare fellow console time, surgical steps performed, and surgical takeovers between attending and fellow surgeons using dual versus single console robotic systems. Participants included minimally invasive gynecologic surgery (MIGS) fellows (N = 3) and subspecialty trained gynecologic surgeons (N = 5). Prospective data were obtained on 126 patients (N = 77 single console, N = 49 dual console) undergoing robotic hysterectomy. Variables included demographics, surgical characteristics (fellow, month of fellowship, attending surgeon, concomitant oophorectomy, additional surgical procedures, estimated blood loss, specimen weight), and outcomes (console time, docking time, console time/docking time ratio, total case time, number of surgical steps performed by the fellow, number of surgical takeovers, complications). After controlling for potential confounders, fellows spent a mean of 25.8 min longer (P < 0.001) at the console in dual console operations compared to single. Dual console surgeries had a greater number of steps performed by the fellow (OR[> 5 steps]: 3.37, P = 0.009), a higher console time/docking time ratio (P < 0.001), and more surgical takeovers between fellow and attending (OR [> 1 takeover]: 3.53, P < 0.001). There were no significant differences between the two groups regarding docking time (P = 0.15), case time (P = 0.79), or complications (P = 0.30). Our findings suggest dual console robotic training provide fellows the opportunity for more "hands-on" experience with longer console time, higher number of surgical steps performed, and added interaction with the attending surgeon when compared with single console training. These surgical metrics provide objectivity in competency-based robotic training without increasing the complications or surgical time.
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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.