Recommendations for the use of coronary and valve simulators in cardiac surgical training: a systematic review

Author:

Whittaker George12ORCID,Salmasi M Yousuf1,Aydin Abdullatif3ORCID,Magouliotis Dimitris4ORCID,Raja Shahzad G5,Asimakopoulos George5,Moorjani Narain6,Athanasiou Thanos1ORCID

Affiliation:

1. Department of Surgery and Cancer, Imperial College London, London, UK

2. Department of Cardiothoracic Surgery, Manchester University NHS Foundation Trust, Manchester, UK

3. MRC Centre for Transplantation, King’s College London, London, UK

4. Department of Cardiothoracic Surgery, University of Thessaly, Larissa, Greece

5. Department of Cardiothoracic Surgery, Royal Brompton & Harefield NHS Foundation Trust, London, UK

6. Department of Cardiothoracic Surgery, Royal Papworth Hospital NHS Foundation Trust, Cambridge, UK

Abstract

Abstract OBJECTIVES The aim of this study was to systematically review the simulators that are currently available for coronary artery bypass graft and valve surgery and, in addition, to review the validation evidence supporting them and to recommend several simulators for training based on the analysis of results. METHODS A systematic literature search of the MEDLINE® (1946 to May 2021) and EMBASE® (1947 to May 2021) databases was performed to identify simulators for coronary artery and valvular procedures in cardiothoracic surgery. A selection of keywords and MeSH terms was used to execute the literature search. After identification of relevant articles, data were extracted and analysed. RESULTS Thirty-seven simulators were found in 31 articles. Simulators were found for coronary artery bypass graft (n = 24) and valve surgery (n = 13). The majority of models were either benchtop (n = 28) or hybrid (n = 8) modalities. Evidence of validity was demonstrated in 15 (40.5%) simulators. Twenty-two (59.5%) simulators had no validation evidence, and 1 (2.7%) simulator had 3 or more elements of validity established. CONCLUSIONS Two simulators were recommended for supplemental training in cardiothoracic surgery. Low-fidelity models can provide a broad foundation for surgical skills’ development whereas high-fidelity simulators can be used for immersive training scenarios and appraisals. These should be utilized in early training, at which point the learning curve of trainees is steepest.

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,General Medicine,Surgery

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3