Evidence map›Paper›PMID 27129546›Full record

ArticleSurgical endoscopy2016

Face and content validation of a Virtual Translumenal Endoscopic Surgery Trainer (VTEST™).

Denis Dorozhkin, Arun Nemani, Kurt Roberts, Woojin Ahn, Tansel Halic, Saurabh Dargar, Jinling Wang, Caroline G L Cao, Ganesh Sankaranarayanan, Suvranu De

Open access · greenAbstract readValidation Study
In one paragraph

Article in Surgical endoscopy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
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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

10 authors at 4 institutions in 1 country.

Denis DorozhkinCenter for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, 110, 8th Street, Troy, NY, 12180, USA.
Arun NemaniCenter for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, 110, 8th Street, Troy, NY, 12180, USA.
Kurt RobertsGastrointestinal Surgery, Yale School of Medicine, Yale University, New Haven, CT, USA.
Woojin AhnCenter for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, 110, 8th Street, Troy, NY, 12180, USA.
Tansel HalicComputer Science Department, University of Central Arkansas, Conway, AR, USA.
Saurabh DargarCenter for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, 110, 8th Street, Troy, NY, 12180, USA.
Jinling WangBiomedical, Industrial and Human Factors Engineering, College of Engineering and Computer Science, Wright State University, Dayton, OH, USA.
Caroline G L CaoBiomedical, Industrial and Human Factors Engineering, College of Engineering and Computer Science, Wright State University, Dayton, OH, USA.
Ganesh SankaranarayananCenter for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, 110, 8th Street, Troy, NY, 12180, USA.
Suvranu DeCenter for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, 110, 8th Street, Troy, NY, 12180, USA. des@rpi.edu.
Rensselaer Polytechnic Institute · USWright State University · USUniversity of Central Arkansas · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Physically Realistic Virtual SurgeryR01EB005807 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU, JACKSON, CULLEN DAVIS · 2006 to 2024
$7.0M
Developing Physics-Based Virtual Simulation Technology for Natural Orifice TranslR01EB009362 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2011 to 2014
$2.6M
Developing a Virtual Basic Laparoscopic Skill Trainer (VBLaST)R01EB010037 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2010 to 2013
$2.0M
NCATS NIH HHS UL1 TR001863NIBIB NIH HHS R01 EB005807NIBIB NIH HHS R01 EB009362NIBIB NIH HHS R01 EB010037
6 · The paper itself

Abstract

backgroundNatural orifice translumenal endoscopic surgery (NOTES) is an emerging surgical paradigm, where peritoneal access is achieved through one of the natural orifices of the body. It is being reported as a safe and feasible surgical technique with significantly reduced external scarring. Virtual Translumenal Endoscopic Surgical Trainer (VTEST™) is the first virtual reality simulator for the NOTES. The VTEST™ simulator was developed to train surgeons in the hybrid transvaginal NOTES cholecystectomy procedure. The initial version of the VTEST™ simulator underwent face validation at the 2013 Natural Orifice Surgery Consortium for Assessment and Research (NOSCAR) summit. Several areas of improvement were identified as a result, and the corresponding modifications were implemented in the simulator. This manuscript outlines the results of the subsequent evaluation study, performed in order to assess the face and content validity of the latest VTEST™ simulator.

methodsTwelve subjects participated in an institutional review board-approved study that took place at the 2014 NOSCAR summit. Six of the 12 subjects, who are experts with NOTES experience, were used for face and content validation. The subjects performed the hybrid transvaginal NOTES cholecystectomy procedure on VTEST™ that included identifying the Calot's triangle, clipping and cutting the cystic duct/artery, and detaching the gallbladder. The subjects then answered five-point Likert scale feedback questionnaires for face and content validity.

resultsOverall, subjects rated 12/15 questions as 3.0 or greater (60 %), for face validity questions regarding the realism of the anatomical features, interface, and the tasks. Subjects also highly rated the usefulness of the simulator in learning the fundamental NOTES technical skills (3.50 ± 0.84). Content validity results indicate a high level of usefulness of the VTEST™ for training prior to operating room experience (4.17 ± 0.75).

Indexed as

CholecystectomyFemaleHumansNatural Orifice Endoscopic SurgerySimulation TrainingUnited StatesUser-Computer InterfaceVaginaNatural orifice surgeryNOTESSurgical performance metricsSurgical trainingVirtual surgical simulation

Identifiers

PMID27129546
PMCPMC5086314
OpenAlexW2345135521

What OpenQuestion holds

Textmetadata
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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.