机器人辅助脊柱手术的学习曲线:系统评价及对住院医师培训课程应用的建议。
Learning curves in robot-assisted spine surgery: a systematic review and proposal of application to residency curricula.
机构信息
1Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota.
2Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland; and.
出版信息
Neurosurg Focus. 2022 Jan;52(1):E3. doi: 10.3171/2021.10.FOCUS21496.
OBJECTIVE
Spine robots have seen increased utilization over the past half decade with the introduction of multiple new systems. Market research expects this expansion to continue over the next half decade at an annual rate of 20%. However, because of the novelty of these devices, there is limited literature on their learning curves and how they should be integrated into residency curricula. With the present review, the authors aimed to address these two points.
METHODS
A systematic review of the published English-language literature on PubMed, Ovid, Scopus, and Web of Science was conducted to identify studies describing the learning curve in spine robotics. Included articles described clinical results in patients using one of the following endpoints: operative time, screw placement time, fluoroscopy usage, and instrumentation accuracy. Systems examined included the Mazor series, the ExcelsiusGPS, and the TiRobot. Learning curves were reported in a qualitative synthesis, given as the mean improvement in the endpoint per case performed or screw placed where possible. All studies were level IV case series with a high risk of reporting bias.
RESULTS
Of 1579 unique articles, 97 underwent full-text review and 21 met the inclusion and exclusion criteria; 62 articles were excluded for not presenting primary data for one of the above-described endpoints. Of the 21 articles, 18 noted the presence of a learning curve in spine robots, which ranged from 3 to 30 cases or 15 to 62 screws. Only 12 articles performed regressions of one of the endpoints (most commonly operative time) as a function of screws placed or cases performed. Among these, increasing experience was associated with a 0.24- to 4.6-minute decrease in operative time per case performed. All but one series described the experience of attending surgeons, not residents.
CONCLUSIONS
Most studies of learning curves with spine robots have found them to be present, with the most common threshold being 20 to 30 cases performed. Unfortunately, all available evidence is level IV data, limited to case series. Given the ability of residency to allow trainees to safely perform these cases under the supervision of experienced senior surgeons, it is argued that a curriculum should be developed for senior-level residents specializing in spine comprising a minimum of 30 performed cases.
目的
在过去的五年中,随着多种新型系统的引入,脊柱机器人的使用量不断增加。市场研究预计,在未来五年内,这一增长速度将以每年 20%的速度持续。然而,由于这些设备具有新颖性,因此关于它们的学习曲线以及如何将其整合到住院医师课程中的文献有限。通过本次综述,作者旨在解决这两个问题。
方法
对 PubMed、Ovid、Scopus 和 Web of Science 上发表的英文文献进行系统综述,以确定描述脊柱机器人学习曲线的研究。纳入的文章描述了使用以下终点之一的患者的临床结果:手术时间、螺钉放置时间、透视使用和器械准确性。检查的系统包括 Mazor 系列、ExcelsiusGPS 和 TiRobot。学习曲线以定性综合的形式报告,以每个病例或每个螺钉的平均改善程度表示,在可能的情况下。所有研究均为 IV 级病例系列,存在较高的报告偏倚风险。
结果
在 1579 篇独特的文章中,有 97 篇进行了全文审查,21 篇符合纳入和排除标准;62 篇因未提供上述描述的一个终点的原始数据而被排除。在 21 篇文章中,有 18 篇指出脊柱机器人存在学习曲线,范围从 3 例到 30 例或 15 例到 62 例螺钉。只有 12 篇文章将其中一个终点(最常见的手术时间)作为放置螺钉或完成病例的函数进行回归。在这些文章中,经验的增加与每个病例的手术时间减少 0.24 到 4.6 分钟有关。除了一个系列外,所有系列都描述了主治外科医生的经验,而不是住院医师的经验。
结论
大多数关于脊柱机器人学习曲线的研究都发现它们存在,最常见的阈值为 20 到 30 例。不幸的是,所有可用的证据都是 IV 级数据,仅限于病例系列。鉴于住院医师能够在经验丰富的高级外科医生的监督下安全地进行这些病例,因此有人认为,应该为专门从事脊柱的高级住院医师制定一个课程,包括至少 30 例完成的病例。