Evidence map›Paper›PMID 42525363›Full record

ArticleJournal of robotic surgery2026

Making robotic surgery viable and training general surgeons in the Brazilian public healthcare.

Gabriela Gouvea Silva, Carlos Dario da Silva Costa, Rodrigo Tavore Strasser, Heitor Zancheta de Andrade, Pedro José Carvalho Tosello, Júlio César André, Jaqueline Venturin, Kátia Luciana Franca Pereira, Samantha Vaccari Grassi Melara, Gedália Pettinelli Tillman and 3 more

Abstract read
In one paragraph

Article 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Gabriela Gouvea SilvaDepartment of General Surgery, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, 15090-000, Brazil. gabriela.gouvea@edu.famerp.br.
Carlos Dario da Silva CostaDepartment of General Surgery, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, 15090-000, Brazil.
Rodrigo Tavore StrasserDepartment of General Surgery, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, 15090-000, Brazil.
Heitor Zancheta de AndradeDepartment of General Surgery, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, 15090-000, Brazil.
Pedro José Carvalho ToselloAnesthesiology Department, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, Brazil.
Júlio César AndréCenter for Studies and Development of Health Education - CEDES, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, Brazil.
Jaqueline VenturinAdministration, Hospital de Base FUNFARME/FAMERP, São José do Rio Preto, Brazil.
Kátia Luciana Franca PereiraAdministration, Hospital de Base FUNFARME/FAMERP, São José do Rio Preto, Brazil.
Samantha Vaccari Grassi MelaraAdministration, Hospital de Base FUNFARME/FAMERP, São José do Rio Preto, Brazil.
Gedália Pettinelli TillmanAdministration, Hospital de Base FUNFARME/FAMERP, São José do Rio Preto, Brazil.
Priscilla Buck de Oliveira RuizNursing Department, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, Brazil.
Thaina de Oliveira LaluceNursing Department, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, Brazil.
Marco Antônio Ribeiro FilhoDepartment of General Surgery, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, 15090-000, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic surgery has become popular in recent decades and is already used in practically all surgical specialties. The increasing use of robotic systems has raised concerns about the safety of patients operated on by surgeons on a learning curve. This demand resulted in a standardized curriculum for training new surgeons. Public hospitals in Brazil possesses robotic systems, making surgical technology available to public healthcare. The relationship between funding and the healthcare model is one of the biggest obstacles to the deployment of expensive new treatments, such as the robotic system. In this prospective study, eighty patients were operated by robotic system, in a Brazilian public hospital, from March 2025 to January 2026, by eight apprentice surgeons. Data concerning demographics, intraoperative information (operation time, and post-operative findings were collected. Patients who underwent surgery were predominantly male (n = 48, 60%), with a mean age of 51 years (SD = 15; range: 19-81 years). The procedures performed were 39 inguinal hernioplasties (48.75%), followed by 31 cholecystectomies (38.75%) and other procedures accounted for 11 cases. Complications observed included seroma (n = 7), median 30 ml and without any approach required, urinary retention (n = 2), one infection of surgical site, one case of prolonged pain after hernioplasty and one conversion to open surgery due to complex inguinoscrotal hernia. Part of the financing came from the apprentice surgeon (70% of total cost), part came from the private initiative (20%), embodied in the robotic enterprise system and finally, funding from public healthcare. The median total cost for 5 inguinal hernioplasties and 5 cholecystectomies was 150000,00 reais, Brazilian currency.

Indexed as

Robotic Surgical ProceduresSurgeonsAdultAgedAged, 80 and overBrazilCholecystectomyFemaleHernia, InguinalHerniorrhaphyHospitals, PublicHumansMaleMiddle AgedOperative TimePostoperative ComplicationsCholecystectomyHealthcareHernioplastyRobotic surgery

Identifiers

PMID42525363
PMCPMC13421232

What OpenQuestion holds

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Registered trials

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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.