ArticleSurgical endoscopy2026
Robotic liver surgery: a global snapshot. Results from an international survey.
Article in Surgical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRobotic liver surgery has gradually increased within the realm of minimally invasive hepatobiliary surgery; nevertheless, worldwide adoption rates, educational systems, and thought processes are various. MATERIALS AND
methodsAn online worldwide survey was devised to collect data from hepatobiliary surgeons with experience or interests in robotic liver surgery. The design explores the use of robotic platforms, adoption rate, learning opportunities, learning curves, procedural options based on complexity, safety in perioperative phases, and limiting factors. Descriptive statistics are used to analyze the collected responses.
resultsThe da Vinci platform is the most commonly used, while the new systems are still in the early adoption stages. Variability of use patterns has been identified. Structured learning, including simulation, proctoring, and learning at a second console, has been identified as essential to ensure safe adoption. The learning curve is a multi-step process that is dependent on procedure type, inherent surgical skills, and prior training. The laparoscopic, robotic, and open methods are considered to be relatively similar in low-complexity resections, while robotic, open, or a combination of robotic or open would be preferred for directing posterosuperior, major hepatectomy, as well as reconstruction cases, respectively.
conclusionRobotic liver surgery is gradually being adopted within the realm of hepatobiliary surgery, but has been unevenly distributed. Uniform models of training, organizational structure, and equal availability of systems are essential factors that define how such systems are expanded.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.