Abstract
Robotic-Assisted Surgery (RAS) is experiencing rapid expansion, prompting the integration of robotic technical skills training into surgical education programs. As access to robotic training platforms remains limited, it is important to investigate the transferability of laparoscopic skills to RAS. This could potentially support the inclusion of early years laparoscopic training to mitigate the learning curve associated with robotic surgery. This study aims to assess the transferability of laparoscopic skills to robotic surgery. A systematic search was conducted using the PRISMA checklist to identify relevant articles. PubMed, MEDLINE, Embase, and Cochrane databases were searched, and inclusion and exclusion criteria were applied to collate eligible articles. Included were original articles comparing the performance of comparable tasks on both laparoscopic and robotic platforms written in English. Non-peer reviewed papers, conference abstracts, reviews, and case series were excluded. Seventeen articles met the inclusion criteria. Among these, 10 studies (59%) demonstrated skill transferability from laparoscopic surgery (LS) to robotic surgery (RS); while one study (5.8%) showed no significant transferability. Four studies highlighted the positive impact of prior laparoscopic training on robotic skill, whereas six papers suggested no significant difference between laparoscopic novices and experienced laparoscopists when utilizing a robotic simulator. Five studies evaluated advanced surgical skills such as intracorporeal knot tying and suturing, revealing superior robotic performance among experienced laparoscopists compared to novice learners. Laparoscopic skills appear to be transferrable to robotic surgery, particularly in complex surgical techniques. Robotic simulators demonstrate a significant reduction in the learning curve for surgical novices, albeit to a lesser extent for experienced laparoscopists.
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JT,JA and JH proposed idea of paper and developed literature review criteria KB performed literature review and collation. JA + MM reviewed results, scrutinised included / excluded papers and contributed to collation. KB developed first draft of main text. LS, GM and MM further developed main text: LS revised introduction and methodology. GS revised results and created tables. JA and MM revised discussion and conclusion. MM and JA wrote final draft along with expertise and further review by MD. All authors reviewed figures, tables and appendix. MM developed abstract and did final formatting and cover letter. All authors reviewed the manuscript.
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Appendix
Appendix
Appendix 1 Summary of evidence levels [22]
Level of evidence | Criteria |
---|---|
1a | Systematic reviews (meta-analysis) containing at least some trials of level 1b evidence, in which results of separate, independently conducted trials are consistent |
1b | Randomized controlled trial of good quality and of adequate sample size (power calculation) |
2a | Randomized trials of reasonable quality and/or of inadequate sample size |
2b | Nonrandomized trials, comparative research (parallel cohort) |
2c | Nonrandomized trial, comparative research (historical cohort, literature controls) |
3 | Nonrandomized, noncomparative trials, descriptive research |
4 | Expert opinions, including the opinion of Work Group members |
Appendix 2 Summary of recommendation levels [22]
Level of recommendation | Criteria |
---|---|
1 | Based on one systematic review (1a) or at least two independently conducted research projects classified as 1b |
2 | Based on at least two independently conducted research projects classified as level 2a or 2b, within concordance |
3 | Based on one independently conducted research project level 2b, or at least two trials of level 3, within concordance |
4 | Based on one trial at level 3 or multiple expert opinions, including the opinion of Work Group members (e.g., level 4) |
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Behera, K., McKenna, M., Smith, L. et al. Transferring laparoscopic skills to robotic-assisted surgery: a systematic review. J Robotic Surg 18, 11 (2024). https://doi.org/10.1007/s11701-023-01757-x
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DOI: https://doi.org/10.1007/s11701-023-01757-x