Complexity-Adjusted Learning Curves for Robotic and Laparoscopic Liver Resection: A Word of Caution.

ABSTRACT:

Background

Minimally invasive liver surgery (MILS) has a high variance in the type of resection and complexity, which has been underestimated in learning curve studies in the past. The aim of this work was to evaluate complexity-adjusted learning curves over time for laparoscopic liver resection (LLR) and robotic liver resection (RLR).

Methods

Cumulative sum analysis (CUSUM) and complexity adjustment were performed using the Iwate score for LLR and RLR (n = 647). Lowest point of smoothed data was used to capture the cutoff of the increase in complexity. Data were collected retrospectively at the Department of Surgery of the Charité-Universitätsmedizin Berlin.

Results

A total of 132 RLR and 514 LLR were performed. According to the complexity-adjusted CUSUM analysis, th

SUBMITTER: Krenzien F 

PROVIDER: S-EPMC10431481 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature