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First modified Delphi consensus statement on robotic-assisted da Vinci sleeve gastrectomy.

Maher El Chaar1, Ann M Rogers2, Samer G Mattar3

  • 1Department of Surgery, St Luke's University Hospital and Health Network, Allentown, Pennsylvania.

Surgery for Obesity and Related Diseases : Official Journal of the American Society for Bariatric Surgery
|July 11, 2024
PubMed
Summary
This summary is machine-generated.

This study established best practices for robotic-assisted sleeve gastrectomy (RA-SG) using a modified Delphi consensus. Experts agreed on staple height selection and antral stapling techniques for improved robotic surgery outcomes.

Keywords:
Delphi consensusRobotic-assisted surgerySleeve gastrectomy

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Area of Science:

  • Minimally Invasive Surgery
  • Surgical Technology
  • Gastroenterology

Background:

  • Sleeve gastrectomy (SG) is a leading metabolic and bariatric surgery (MBS) procedure.
  • Technical guidelines for robotic-assisted (RA) SG are not well-established.
  • This study addresses technical considerations for RA da Vinci (dV) SG.

Purpose of the Study:

  • To develop best practices for robotic-assisted da Vinci sleeve gastrectomy.
  • To provide a practical guide for surgeons performing dV-SG.
  • To establish consensus on key technical aspects of RA-SG.

Main Methods:

  • A modified Delphi consensus-building exercise was conducted.
  • A committee of 10 RA surgery and MBS experts developed 49 consensus statements.
  • 240 RA surgery experts participated, with consensus defined as 70% agreement.

Main Results:

  • Consensus was reached on 28 of 49 statements (57%) after two voting rounds.
  • Experts recommended using stapler pauses to guide staple height selection (91.2%).
  • Consensus supported upsized staple height with buttressing (92%) and specific staple heights for antral stapling.

Conclusions:

  • A modified Delphi consensus statement provides a practical guide for dV-SG.
  • Expert opinion offers valuable insights into RA-SG techniques.
  • This consensus aids surgeons in performing robotic-assisted sleeve gastrectomy effectively.