Trial reportSurgical endoscopy2022
Acquisition of robotic surgical skills does not require laparoscopic training: a randomized controlled trial.
Trial report in Surgical endoscopy, 2022. 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
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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
4 citing papers in PubMed.
- Randomized double-blind protocol for cross-specialty competency assessment in robotic surgery training using GEARS: a single-center initial validation study.Journal of robotic surgery · 2026Trial
- Surgeon workload in supervised robotic colorectal surgery: a surgical task load index study.Surgical endoscopy · 2026Article
- A new mixed reality tool for training in minimally invasive robotic-assisted surgery.Health information science and systems · 2023Article
- Towards identifying a learning curve for robotic abdominal wall reconstruction: a cumulative sum analysis.Hernia : the journal of hernias and abdominal wall surgery · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRobotic surgery is a valid option for minimally invasive surgery in most surgical specialties. However, the need to master laparoscopy is questionable before starting specific training in robotic surgery. We compared the development of basic robotic surgery skills between individuals randomized to train in conventional, laparoscopic, or robotic skills.
methodsWe conducted a single-centered, single-blinded randomized trial. Medical students were randomly assigned to 20 h of conventional, laparoscopic, or robotic surgical training. Students with previous surgical experience were excluded. Participants were evaluated pre- and post-training on the dV-Trainer robotic surgical simulator with the following exercises: Camera Targeting 1, Peg Board 1, Ring and Rail 1, and Ring and Rail 2.
resultsSixty-six students were randomly assigned to each training group. Eight individuals did not complete the study (2 in the conventional group, 3 in the laparoscopic group, and 3 in the robotic group). All groups demonstrated significant improvement in the composite score and in each task following the training period (p < 0.001). No differences were seen between the conventional and laparoscopic groups in the composite score or individual tasks. The robotic group showed greater improvement in number of errors, economy of motion, workspace utilization, and time for completion compared to the other groups. The laparoscopic group showed improved camera manipulation skills compared to the conventional group, while the conventional group showed improved errors and economy of motion compared to the laparoscopic group.
conclusionThere was no difference in the acquisition of basic robotic surgical skills between individuals trained in basic conventional or laparoscopic surgical skills. We believe surgeons mastery in laparoscopy is not needed before initiating robotic surgical training. However, basic principles of laparoscopy remain applicable to robotic surgery. Future studies should compare transferability of conventional and laparoscopic training to robotic skills in the operating room.
Indexed as
Identifiers
35676543What 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.