Evidence map›Paper›PMID 34133655›Full record

ArticleRevista do Colegio Brasileiro de Cirurgioes2021

Training in robotic surgery: initial experience using the Brazilian College of Surgeons model.

Fernando DE Barros, Veronica Bernardino Felicio, Ana Caroline Lima Tabet, Ana Carolina Capuano Cerbone

Abstract read
In one paragraph

Article in Revista do Colegio Brasileiro de Cirurgioes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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

4 authors.

Fernando DE Barros- Universidade Federal Fluminense, Departamento de Cirurgia Geral e Especializada - Niterói - RJ - Brasil.ORCID http://orcid.org/0000-0002-0777-4530
Veronica Bernardino Felicio- Hospital São Lucas, Departamento de Cirurgia Geral - Rio de Janeiro - RJ - Brasil.
Ana Caroline Lima Tabet- Hospital São Lucas, Departamento de Cirurgia Geral - Rio de Janeiro - RJ - Brasil.
Ana Carolina Capuano Cerbone- Hospital São Lucas, Departamento de Cirurgia Geral - Rio de Janeiro - RJ - Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto present the initial experience of the first tier of surgeons trained in the new model of robotic surgery training proposed by the CBC.

methodswe retrospectively collected data and information on training with the Da Vinci SI robotic system. The variables analyzed were, in the pre-clinical phase, time of completion of each step by surgeon and number of hours in the simulator, and in the clinical phase, operations carried out by the training group, number of surgeons who performed nine procedures in ninety days ("9 in 90"), time of docking, time of console, and results surgical.

resultswe interviewed 39 surgeons before training started; 20 (51.3%) reached the clinical phase. The average age of surgeons was 47.9 years (38-62). The average time between the first interview and the delivery of the online certificate was 64 days (15-133). The surgeons have made an average of 51h and 36 minutes of robot simulation (40-83 hours). The total number of cases in which the training surgeons participated as first assistant was 418, with an average of 20.9 per surgeon. The time of pre-clinical training had an average of 116 days (48-205).

conclusionthe new model proposed had good acceptance by all surgeons trained and proved safe in the initial sample.

Indexed as

Robotic Surgical ProceduresSurgeonsAdultBrazilClinical CompetenceComputer SimulationHumansMiddle AgedRetrospective Studies

Identifiers

PMID34133655
PMCPMC10683448

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.