Sapino Gianluca, Gonvers Stephanie, Cherubino Mario, Ballestín Alberto, di Summa Pietro Giovanni
From the Department of Plastic, Reconstructive, Aesthetic and Hand Surgery, University Hospital of Lausanne (CHUV), University of Lausanne, Lausanne, Switzerland.
Department of Plastic and Hand Surgery, University Hospital of Varese, University of Varese, Varese, Italy.
Plast Reconstr Surg Glob Open. 2024 Jul 26;12(7):e6004. doi: 10.1097/GOX.0000000000006004. eCollection 2024 Jul.
Microsurgery has a steep learning curve. Synthetic simulators have proven to be useful training tools for the initial learning stages, as well as being ethically sound, viable, safe, and cost-effective. The objective of this review was to determine the quality, effectiveness, and validity of these simulators as well as to assess their ability to evaluate microsurgical skills.
A systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was performed. We searched databases (Web of Science, Scopus, and PubMed) to identify original articles describing synthetic training models for microsurgery. Three reviewers evaluated articles for inclusion following predefined selection criteria. Data were extracted from full-texts of included articles.
Thirty-nine studies met the inclusion criteria. A total of 38 different devices have been recorded. Microsurgical training devices offer a low-cost, fast, and consistent method to concretely quantify and assess the initial microsurgical skills of trainees using standardized exercises that can be scored by the examiner. According to the authors, the outcomes were satisfactory, with a tangible improvement in microsurgical abilities, despite the lack of a common comparison scale.
Thanks to their availability, cost, and effectiveness, synthetic models are the recommended option to train basic, intermediate and advanced procedures before executing them on in vivo models.
显微外科手术的学习曲线较陡。合成模拟器已被证明是初始学习阶段有用的训练工具，并且在伦理上合理、可行、安全且具有成本效益。本综述的目的是确定这些模拟器的质量、有效性和效度，并评估其评估显微外科技能的能力。
按照系统评价与Meta分析的首选报告项目指南进行系统评价。我们检索了数据库（科学网、Scopus和PubMed）以识别描述显微外科合成训练模型的原始文章。三位评审员根据预定义的选择标准评估文章是否纳入。数据从纳入文章的全文中提取。
39项研究符合纳入标准。共记录了38种不同的设备。显微外科训练设备提供了一种低成本、快速且一致的方法，通过可由考官评分的标准化练习来具体量化和评估学员的初始显微外科技能。根据作者的说法，尽管缺乏共同的比较量表，但结果令人满意，显微外科能力有明显提高。
由于其可用性、成本和有效性，合成模型是在体内模型上执行之前训练基础、中级和高级手术的推荐选择。
