Navigating the Learning Curve of Robotic Pancreatoduodenectomy: Feasibility, Proficiency, and Mastery in a First-generation Surgeon (LC-RPD)

University of Pisa

Status

Completed

Conditions

Robotic Pancreaticoduodenectomy

Treatments

Procedure: Robotic pancreaticoduodenectomy

Study type

Observational

Funder types

Other

Identifiers

NCT06723847

LC-RPD-Boggi

Details and patient eligibility

About

This study delineates the learning curve of robotic pancreatoduodenectomy (RPD) for first-generation surgeons, using the Comprehensive Complication Index (CCI) to assess patient outcomes and the PD-ROBOSCORE to stratify patients for their risk to develop post-operative complications.

Full description

This study aims to define the learning curve of a first-generation surgeon who implemented robotic pancreatoduodenectomy. When compared to previous studies on the same issue, the current study has several distinctive features. Firstly, the learning curve was defined using the cumulative sum method, with the comprehensive complication index as the main outcome metric. The comprehensive complication index provides a holistic view of the burden of postoperative complications in each individual patient, correlating with key outcome measures such as length of hospital stay, use of hospital resources, and ultimately mortality. Secondly, outcomes were adjusted by procedure complexity based on the newly described PD-ROBOSCORE (Surgery. 2023;173:1438-1446). This is the first study assessing the learning curve of robotic pancreatoduodenectomy while incorporating difficulty levels.

Enrollment

313 patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

All patients underwent robotic pancreaticoduodenectomy.

Exclusion criteria

None.