Evidence map›Paper›PMID 40857548›Full record

ArticleInternational braz j urol : official journal of the Brazilian Society of Urology

First Brazilian Series of Urologic Surgeries Using Versius Robotic Multiport Platform.

Gilberto Laurino Almeida, Wilson F Schreiner Busato, Andre Kives Berger, Vicente Codagnone, Gustavo Winter, Roberto Kinchescki, Phelipe Celestino Santos, Leticia Mendes Leães, Yoann Pierre Pérès, Daniel Gobbi and 10 more

Abstract readMulticenter Study
In one paragraph

Article in International braz j urol : official journal of the Brazilian Society of Urology. 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
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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

20 authors.

Gilberto Laurino AlmeidaHospital Unimed Litoral, Balneário Camboriú, SC, Brasil.
Wilson F Schreiner BusatoHospital Unimed Litoral, Balneário Camboriú, SC, Brasil.
Andre Kives BergerHospital Moinhos de Vento, Porto Alegre, RS, Brasil.
Vicente CodagnoneImperial Hospital de Caridade, Florianópolis, SC, Brasil.
Gustavo WinterImperial Hospital de Caridade, Florianópolis, SC, Brasil.
Roberto KinchesckiImperial Hospital de Caridade, Florianópolis, SC, Brasil.
Phelipe Celestino SantosImperial Hospital de Caridade, Florianópolis, SC, Brasil.
Leticia Mendes LeãesHospital Unimed Litoral, Balneário Camboriú, SC, Brasil.
Yoann Pierre PérèsHospital Unimed Litoral, Balneário Camboriú, SC, Brasil.
Daniel GobbiHospital São Vicente de Paulo, Passo Fundo, RS, Brasil.
Artur de Oliveira PaludoHospital Moinhos de Vento, Porto Alegre, RS, Brasil.
Lucas Medeiros BurttetHospital Moinhos de Vento, Porto Alegre, RS, Brasil.
Felipe Guimarães PugliesiHospital São Luiz Itaim, São Paulo, SP, Brasil.
Gustavo Cardoso GuimarãesHospital Beneficência Portuguesa de São Paulo, São Paulo, SP, Brasil.
Gustavo SchroederHospital Moinhos de Vento, Porto Alegre, RS, Brasil.
Aguinel Jose BastianImperial Hospital de Caridade, Florianópolis, SC, Brasil.
Luis Felipe PiovesanImperial Hospital de Caridade, Florianópolis, SC, Brasil.
Milton BergerHospital Moinhos de Vento, Porto Alegre, RS, Brasil.
Ricardo Kupka da SilvaImperial Hospital de Caridade, Florianópolis, SC, Brasil.
Fabrício G KaminagakuraHospital Unimed Litoral, Balneário Camboriú, SC, Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis is the first series of urological conditions using the Versius Surgical System® platform in Brazil. We evaluated perioperative results, and surgeons' learning curve in Brazilian hospitals. MATERIALS AND

methodsThis prospective, multicenter study included urological surgeons certified on the Versius® platform and their respective procedures from May 2022 to August 2024. Perioperative variables included type of surgery, docking time, console time, number of bedside units (BSUs), complications according to the Clavien-Dindo classification, readmission and reoperation rates within 30 days after surgery. Surgeons were stratified according to experience in laparoscopy and robotic surgery.

resultsNineteen surgeons and 302 urological procedures were included. There was no statistically significant difference between docking time and console time when comparing obese patients (BMI > 30, p=0.507) and non-obese patients (BMI < 30, p=0.733). One hundred thirty-seven (45.4%) surgeries were performed by surgeons with experience in laparoscopy and robotics (> 5 years), and 238 surgeries (78.8%) were performed by surgeons who had more than 10 Versius® procedures. Docking time was 13.4 (SD 7.23) minutes. Nephroureterectomy was the procedure with the shortest docking (8.7 minutes, 6-13 min) and console (83.3 minutes, 38-152 min) times. Of the 10 surgeons with 10 or more procedures, 6 had shorter docking times, and 4 had shorter console times. There were four Clavien-Dindo III-IV complications within 30 days postoperatively (1.3%), and six (2%) patients required reoperation. Mean hospital stay was 2 days.

conclusionThis study is the largest Brazilian and worldwide case series of urological surgeries performed using the Versius® robotic platform. Our results demonstrate the safety and efficacy of the Versius® platform and provide real-world evidence of the surgeons' learning curves and performance based on their prior expertise in laparoscopic and/or robotic surgery.

Indexed as

Robotic Surgical ProceduresUrologic Surgical ProceduresAdultAgedBrazilClinical CompetenceFemaleHumansLaparoscopyLearning CurveMaleMiddle AgedOperative TimePostoperative ComplicationsProspective StudiesReoperationMinimally Invasive Surgical ProceduresRobotic Surgical ProceduresUrology

Identifiers

PMID40857548
PMCPMC12539880

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.