Evidence map›Paper›PMID 37048640›Full record

ArticleJournal of clinical medicine2023

Simulator Fidelity Does Not Affect Training for Robot-Assisted Minimally Invasive Surgery.

Shin Saito, Kazuhiro Endo, Yasunaru Sakuma, Naohiro Sata, Alan Kawarai Lefor

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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, 5 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
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

5 authors at 1 institution in 1 country.

Shin SaitoDepartment of Surgery, Jichi Medical University, Tochigi 329-0498, Japan.ORCID 0000-0002-2931-4260
Kazuhiro EndoDepartment of Surgery, Jichi Medical University, Tochigi 329-0498, Japan.
Yasunaru SakumaDepartment of Surgery, Jichi Medical University, Tochigi 329-0498, Japan.
Naohiro SataDepartment of Surgery, Jichi Medical University, Tochigi 329-0498, Japan.
Alan Kawarai LeforDepartment of Surgery, Jichi Medical University, Tochigi 329-0498, Japan.ORCID 0000-0001-6673-5630
Jichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was undertaken to compare performance using a surgical robot after training with one of three simulators of varying fidelity.

methodsEight novice operators and eight expert surgeons were randomly assigned to one of three simulators. Each participant performed two exercises using a simulator and then using a surgical robot. The primary outcome of this study is performance assessed by time and GEARS score.

resultsParticipants were randomly assigned to one of three simulators. Time to perform the suturing exercise (novices vs. experts) was significantly different for all 3 simulators. Using the da Vinci robot, peg transfer showed no significant difference between novices and experts and all participants combined (mean time novice 2.00, expert 2.21,

conclusionTraining with simulators of varying fidelity result in similar performance using the da Vinci robot. A dry box simulator may be as effective as a virtual reality simulator for training. Further studies are needed to validate these results.

Indexed as

dry boxfidelityGEARS scoresimulatorsurgical robotvirtual reality simulator

Identifiers

PMID37048640
PMCPMC10095363
OpenAlexW4361285546

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.