Robotic operations in urgent general surgery: a systematic review

Abstract

Robotically assisted operations are the state of the art in laparoscopic general surgery. They are established predominantly for elective operations. Since laparoscopy is widely used in urgent general surgery, the significance of robotic assistance in urgent operations is of interest. Currently, there are few data on robotic-assisted operations in urgent surgery. The aim of this study was to collect and classify the existing studies. A two-stage, PRISMA-compliant literature search of PubMed and the Cochrane Library was conducted. We analyzed all articles on robotic surgery associated with urgent general surgery resp. acute surgical diseases of the abdomen. Gynecological and urological diseases so as vascular surgery, except mesenterial ischemia, were excluded. Studies and case reports/series published between 1980 and 2021 were eligible for inclusion. In addition to a descriptive synopsis, various outcome parameters were systematically recorded. Fifty-two studies of operations for acute appendicitis and cholecystitis, hernias and acute conditions of the gastrointestinal tract were included. The level of evidence is low. Surgical robots in the narrow sense and robotic camera mounts were used. All narrow-sense robots are nonautonomous systems; in 82%, the Da Vinci® system was used. The most frequently published emergency operations were urgent cholecystectomies (30 studies, 703 patients) followed by incarcerated hernias (9 studies, 199 patients). Feasibility of robotic operations was demonstrated for all indications. Neither robotic-specific problems nor extensive complication rates were reported. Various urgent operations in general surgery can be performed robotically without increased risk. The available data do not allow a final evidence-based assessment.

The role of RObotic surgery in EMergency setting (ROEM): protocol for a multicentre, observational, prospective international study on the use of robotic platform in emergency surgery.

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Knowledge Transfer and Networking Upon Implementation of a Transdisciplinary Digital Health Curriculum in a Unique Digital Health Training Culture: Prospective Analysis

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