Robotic-Assisted Roux-en-Y Gastric Bypass: Learning Curve Assessment Using Cumulative Sum and Literature Review
Roberto Bustos, Alberto Mangano, Federico Gheza, Liaohai Chen, Gabriela Aguiluz-Cornejo, Antonio Gangemi, Lisa Sánchez-Johnsen, Chandra Hassan, Mario Masrur
- 发表年份
- 2019
- 引用次数
- 20
- 访问权限
- 开放获取
摘要
Purpose: Robotic-assisted Roux-en-Y gastric bypass (RARYGB) is a procedure that is used with increasing frequency in the United States. Among other bariatric procedures, RARYGB is a good model for the robotic platform because it allows hand-sewn suturing and energy devices application. The aim of this study was to conduct a literature review of robotic approach in RARYGB, its learning curve using the cumulative sum (CUSUM) method, and our experience as Center of Excellence recognized by the American Society for Metabolic and Bariatric Surgery (ASMBS). Methods: A total of 67 patients were included. Results revealed that the learning curve was achieved after case 11. Eighteen studies were included in the pooled analysis. Results: An increase in the operative time was noted at case 46, in which a second phase was identified. A significant difference between these two phases was found only related to previous bariatric surgery. The outcomes of this series were comparable with the ones available in the literature. Conclusions: The robotic platform is increasing its role in complex procedures such as RARYGB. The hand-sewn technique may offer important advantages in terms of shorter learning curve, reduced conversion rate, and lower leakage rate.
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