Evidence map›Paper›PMID 33723706›Full record

ArticleInternational journal of computer assisted radiology and surgery2021

Motion analysis of the JHU-ISI Gesture and Skill Assessment Working Set II: learning curve analysis.

Alan Kawarai Lefor, Kanako Harada, Aristotelis Dosis, Mamoru Mitsuishi

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Article in International journal of computer assisted radiology and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

4 authors.

Alan Kawarai LeforBioengineering, School of Engineering, The University of Tokyo, Tokyo, Japan. alefor@g.ecc.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0001-6673-5630
Kanako HaradaMechanical Engineering, School of Engineering, The University of Tokyo, Tokyo, Japan.
Aristotelis DosisImperial College London, London, UK.
Mamoru MitsuishiMechanical Engineering, School of Engineering, The University of Tokyo, Tokyo, Japan.

Funding

Japan Society for the Promotion of Science 19H05585
6 · The paper itself

Abstract

purposeThe Johns Hopkins-Intuitive Gesture and Skill Assessment Working Set (JIGSAWS) dataset is used to develop robotic surgery skill assessment tools, but there has been no detailed analysis of this dataset. The aim of this study is to perform a learning curve analysis of the existing JIGSAWS dataset.

methodsFive trials were performed in JIGSAWS by eight participants (four novices, two intermediates and two experts) for three exercises (suturing, knot-tying and needle passing). Global Rating Scores and time, path length and movements were analyzed quantitatively and qualitatively by graphical analysis.

resultsThere are no significant differences in Global Rating Scale scores over time. Time in the suturing exercise and path length in needle passing had significant differences. Other kinematic parameters were not significantly different. Qualitative analysis shows a learning curve only for suturing. Cumulative sum analysis suggests completion of the learning curve for suturing by trial 4.

conclusionsThe existing JIGSAWS dataset does not show a quantitative learning curve for Global Rating Scale scores, or most kinematic parameters which may be due in part to the limited size of the dataset. Qualitative analysis shows a learning curve for suturing. Cumulative sum analysis suggests completion of the suturing learning curve by trial 4. An expanded dataset is needed to facilitate subset analyses.

Indexed as

Clinical CompetenceGesturesLearning CurveMotionSuture TechniquesAlgorithmsBiomechanical PhenomenaGeneral SurgeryHumansLaparoscopyRobotic Surgical ProceduresSuturesLearning curveRobotic surgerySimulationSurgical education

Identifiers

PMID33723706

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.