Literature DB >> 31572625

Robotic-Assisted Roux-en-Y Gastric Bypass: Learning Curve Assessment Using Cumulative Sum and Literature Review.

Roberto Bustos1, Alberto Mangano1, Federico Gheza1, Liaohai Chen1, Gabriela Aguiluz-Cornejo1, Antonio Gangemi1, Lisa Sanchez-Johnsen1, Chandra Hassan1, Mario Masrur1.   

Abstract

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. Copyright 2019, Mary Ann Liebert, Inc., publishers.

Entities:  

Keywords:  Roux-en-Y; cumulative sum; gastric bypass; learning curve; review; robotic

Year:  2019        PMID: 31572625      PMCID: PMC6763956          DOI: 10.1089/bari.2018.0042

Source DB:  PubMed          Journal:  Bariatr Surg Pract Patient Care        ISSN: 2168-023X            Impact factor:   0.607


  47 in total

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Journal:  J Laparoendosc Adv Surg Tech A       Date:  2001-12       Impact factor: 1.878

2.  Technique evolution, learning curve, and outcomes of 200 robot-assisted gastric bypass procedures: a 5-year experience.

Authors:  Vivek Bindal; Raquel Gonzalez-Heredia; Mario Masrur; Enrique F Elli
Journal:  Obes Surg       Date:  2015-06       Impact factor: 4.129

3.  100 robotic-assisted laparoscopic gastric bypasses at a community hospital.

Authors:  Joseph Y Deng; David J Lourié
Journal:  Am Surg       Date:  2008-10       Impact factor: 0.688

Review 4.  Robotic bariatric surgery: a systematic review.

Authors:  Matthew M Fourman; Alan A Saber
Journal:  Surg Obes Relat Dis       Date:  2012-03-29       Impact factor: 4.734

5.  Early clinical experience with the da Vinci Xi Surgical System in general surgery.

Authors:  Monika E Hagen; Minoa K Jung; Frederic Ris; Jassim Fakhro; Nicolas C Buchs; Leo Buehler; Philippe Morel
Journal:  J Robot Surg       Date:  2016-12-27

6.  Robotic-assisted Roux-en-Y gastric bypass: update from 2 high-volume centers.

Authors:  Ken Tieu; Nathan Allison; Brad Snyder; Todd Wilson; Michelle Toder; Erik Wilson
Journal:  Surg Obes Relat Dis       Date:  2012-01-16       Impact factor: 4.734

7.  Laparoscopic renal surgery in patients at high risk for intra-abdominal or retroperitoneal scarring.

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Journal:  J Endourol       Date:  1998-04       Impact factor: 2.942

8.  Robotic assistance provides excellent outcomes during the learning curve for laparoscopic Roux-en-Y gastric bypass: results from 100 robotic-assisted gastric bypasses.

Authors:  Sherman C Yu; Benjamin L Clapp; Michael J Lee; William C Albrecht; Terry K Scarborough; Erik B Wilson
Journal:  Am J Surg       Date:  2006-12       Impact factor: 2.565

9.  Totally robotic Roux-en-Y gastric bypass.

Authors:  Catherine J Mohr; Geoffrey S Nadzam; Myriam J Curet
Journal:  Arch Surg       Date:  2005-08

10.  Robotic Roux-en-Y gastric bypass: Our centre's technique with short-term experience.

Authors:  Mohit Bhandari; Winni Mathur; Arun Kumar Mishra; Daksha Chandorkar
Journal:  J Minim Access Surg       Date:  2017 Apr-Jun       Impact factor: 1.407

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