Evidence map›Paper›PMID 37743389›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2023

Assessment of learning in simulator-based arthroscopy training with the diagnostic arthroscopy skill score (DASS) and neurophysiological measures.

Mehmet Emin Aksoy, Baris Kocaoglu, Kurtulus İzzetoglu, Atahan Agrali, Serhat Ilgaz Yoner, Mert Deniz Polat, Mahmut Enes Kayaalp, Tahir Koray Yozgatli, Alper Kaya, Roland Becker

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Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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 3 countries.

Mehmet Emin AksoyDepartment of Biomedical Device Technology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Baris KocaogluDepartment of Orthopedics and Traumatology, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey. bariskocaoglu@gmail.com.ORCID http://orcid.org/0000-0002-2537-0660
Kurtulus İzzetogluSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, 19104, USA.
Atahan AgraliDepartment of Biomedical Device Technology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Serhat Ilgaz YonerDepartment of Biomedical Device Technology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Mert Deniz PolatSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, 19104, USA.
Mahmut Enes KayaalpCenter for Sports Medicine, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
Tahir Koray YozgatliDepartment of Orthopedics and Traumatology, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Alper KayaDepartment of Orthopedics and Traumatology, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Roland BeckerCenter of Orthopedics and Traumatology, University of Brandenburg, Brandenburg/Havel, Germany.
Kent Hastanesi · TRDrexel University · USUniversitätsklinikum Brandenburg an der Havel · DEUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeVirtual arthroscopic training has become increasingly popular. However, there is a lack of efficiency-based tracking of the trainee, which may be critical for determining the specifics of training programs and adapting them for the needs of each trainee. This study aims to evaluate and compare the measures obtained with a non-invasive neurophysiological method with The Diagnostic Arthroscopy Skill Score (DASS), a commonly used assessment tool for evaluating arthroscopic skills.

methodsThe study collected simulator performance scores, consisting of "Triangulation Right Hand", "Triangulation Left Hand", "Catch the Stars" and "Three Rings" and DASS scores from 22 participants (11 novices, 11 experts). These scores were obtained while participants underwent a structured program of exercises for the fundamentals of arthroscopic surgery training (FAST) and knee module using a simulator-based arthroscopy device. During the evaluation, data on oxy-hemoglobin and deoxy-hemoglobin levels in the prefrontal cortex were collected using the Functional Near-Infrared Spectroscopy (fNIRS) imaging system. Performance scores, DASS scores, and fNIRS data were subsequently analyzed to determine any correlation between performance and cortex activity.

resultsThe simulator performance scores and the DASS

conclusionThe analysis of cognitive workload changes during simulation-based arthroscopy training revealed a significant correlation between the trainees' DASS scores and fNIRS data. This correlation suggests the potential use of fNIRS data and DASS scores as additional metrics to create adaptive training protocols for each participant. By incorporating these metrics, the training process can be optimized, leading to more efficient arthroscopic training and better preparedness for clinical operations. LEVEL OF EVIDENCE: III.

Indexed as

Internship and ResidencySimulation TrainingArthroscopyClinical CompetenceComputer SimulationHemoglobinsHumansHemoglobinsArthroscopyComputer-assistedEducationNear-infraredNeurophysiological techniquesSpectroscopyTask performance and analysis

Identifiers

PMID37743389
OpenAlexW4386995320

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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.