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. 2023 Aug;17(4):1207-1225.
doi: 10.1007/s11701-022-01492-9. Epub 2022 Nov 22.

Transfer of open and laparoscopic skills to robotic surgery: a systematic review

Affiliations

Transfer of open and laparoscopic skills to robotic surgery: a systematic review

Baldev Chahal et al. J Robot Surg. 2023 Aug.

Abstract

Due to its advantages over open surgery and conventional laparoscopy, uptake of robot-assisted surgery has rapidly increased. It is important to know whether the existing open or laparoscopic skills of robotic novices shorten the robotic surgery learning curve, potentially reducing the amount of training required. This systematic review aims to assess psychomotor skill transfer to the robot in clinical and simulated settings. PubMed, EMBASE, Cochrane Library and Scopus databases were systematically searched in accordance with PRISMA guidelines from inception to August 2021 alongside website searching and citation chaining. Article screening, data extraction and quality assessment were undertaken by two independent reviewers. Outcomes included simulator performance metrics or in the case of clinical studies, peri- and post-operative metrics. Twenty-nine studies met the eligibility criteria. All studies were judged to be at high or moderate overall risk of bias. Results were narratively synthesised due to heterogeneity in study designs and outcome measures. Two of the three studies assessing open surgical skill transfer found evidence of successful skill transfer while nine of twenty-seven studies evaluating laparoscopic skill transfer found no evidence. Skill transfer from both modalities is most apparent when advanced robotic tasks are performed in the initial phase of the learning curve but quality and methodological limitations of the existing literature prevent definitive conclusions. The impact of incorporating laparoscopic simulation into robotic training curricula and on the cost effectiveness of training should be investigated.

Keywords: Laparoscopic; Open surgery; Robotics; Simulation; Skill transfer.

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Conflict of interest statement

Baldev Chahal, Abdullatif Aydin, Mohammad S.A. Amin, Kelly Ong, Azhar Khan, Muhammad S. Khan and Kamran Ahmed have no conflicts of interest or financial ties to disclose. Prokar Dasgupta declares financial ties with Proximie and MysteryVibe.

Figures

Fig. 1
Fig. 1
PRISMA flow diagram

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