ReviewJournal of robotic surgery2026
Perioperative management and challenges of robotic-assisted surgery: a narrative review.
Review in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past two decades, robotic surgical technology has become increasingly widespread worldwide. RAS (robotic-assisted surgery) has attracted surgeons across various specialties with its advantages of high precision, a shorter learning curve, and reduced postoperative pain, while also imposing new requirements on the entire surgical team, including anesthesiologists. The physiological changes and unique complications associated with RAS have brought major challenges for anesthesiologists, who should respond rapidly to patient responses throughout the entire procedure.This review focuses on the potential issues encountered in the perioperative management of RAS, as well as the application of RAS across several specialties and the specific intraoperative management challenges involved.
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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 OpenQuestion graph.