ReviewJournal of robotic surgery2026
10,000 robotic surgeries in Brazil: lessons learned and the path forward.
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.
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0 citing papers in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robotic surgery is expanding rapidly, but access remains concentrated in high-income countries and privately financed urban centres. In June 2025, our Brazilian multi-institutional consortium completed 10,000 robot-assisted procedures across five surgical specialties. These editorial reviews the development of robotic surgery in Brazil and the lessons derived from this experience. Sustainable implementation required structured training, multidisciplinary team development, appropriate case selection, standardized workflows, outcome monitoring, institutional support, and financial planning. Brazil's adoption of national training standards and the incorporation of robot-assisted radical prostatectomy into the public health system represent important steps toward broader access. The Brazilian experience shows that robotic surgery can expand in middle-income settings, but its value will depend on equitable access and local workforce development.
Indexed as
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42758241What OpenQuestion holds
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.