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Published on: May 20, 2018
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Technical skills simulation in transplant surgery: a systematic review.
R Patnaik1, M T A Khan1, T Oh2
1Department of Surgery, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229-3900 USA.
Summary
Simulation models are crucial for improving surgeon technical skills in transplant surgery. This review identifies current models, serving as a guide for professionals seeking to enhance surgical proficiency.
Area of Science:
- Surgical Education
- Medical Simulation Technology
Background:
- Transplant surgery demands high technical skill, directly impacting patient outcomes.
- Simulation-based training offers a promising avenue for enhancing surgeon technical skills in transplantation.
Purpose of the Study:
- To systematically assess the current literature on simulation for improving surgeon technical skills in transplantation.
- To identify and categorize existing simulation models used in transplant surgery.
Main Methods:
- Systematic literature search of PubMed and Scopus databases.
- Abstract screening using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
- Analysis of 172 abstracts by three independent reviewers to identify relevant studies.
Main Results:
- Identified simulators include virtual reality, cadaveric, animal, and synthetic physical models.
- No virtual reality simulators specific to transplant surgery were found in the literature.
- Eight synthetic physical models, seven animal models, and three cadaveric models were described for transplant surgery simulation.
- 18 publications focused on simulation for kidney, liver, lung, pancreas, and cardiac transplantation, with a majority on kidney transplantation.
Conclusions:
- This systematic review provides a comprehensive overview of currently reported simulation models in transplant surgery.
- The findings serve as a valuable reference for surgeons and professionals aiming to improve technical skills through simulation.

