Evidence map›Paper›PMID 28825199›Full record

ArticleInternational journal of computer assisted radiology and surgery2018

Comparison of the goals and MISTELS scores for the evaluation of surgeons on training benches.

Rémi Wolf, Maud Medici, Gaëlle Fiard, Jean-Alexandre Long, Alexandre Moreau-Gaudry, Philippe Cinquin, Sandrine Voros

Registry-linked trialAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04304079 (A Novel Augmented Reality System), which is not on this map. Cited by 3 papers.

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

NCT04304079 nawithdrawnnot on this mapstarted 2022, after this paper: background citation

A Novel Augmented Reality System (ARssist) for the Assistant Surgeon in Robotic Assisted Surgery: A Pilot Study

TypeinterventionalSponsorChinese University of Hong KongRan2022 to 2024Enrolled0ConditionsProstate CancerArmsARssist system
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos.International journal of computer assisted radiology and surgery · 2020
    Article
  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

7 authors.

Rémi WolfUniversité Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, 38000, Grenoble, France.
Maud MediciCIC 1406, Université Grenoble Alpes, 38000, Grenoble, France.
Gaëlle FiardUniversité Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, 38000, Grenoble, France.
Jean-Alexandre LongUniversité Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, 38000, Grenoble, France.
Alexandre Moreau-GaudryUniversité Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, 38000, Grenoble, France.
Philippe CinquinUniversité Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, 38000, Grenoble, France.
Sandrine VorosUniversité Grenoble Alpes, CNRS, Grenoble INP, INSERM, TIMC-IMAG, 38000, Grenoble, France. Sandrine.Voros@univ-grenoble-alpes.fr.ORCID http://orcid.org/0000-0002-7418-2367

Funding

Agence Nationale de la Recherche (FR) ANR-11-LABX-0004, Labex CAMI
6 · The paper itself

Abstract

purposeEvaluation of surgical technical abilities is a major issue in minimally invasive surgery. Devices such as training benches offer specific scores to evaluate surgeons but cannot transfer in the operating room (OR). A contrario, several scores measure performance in the OR, but have not been evaluated on training benches. Our aim was to demonstrate that the GOALS score, which can effectively grade in the OR the abilities involved in laparoscopy, can be used for evaluation on a laparoscopic testbench (MISTELS). This could lead to training systems that can identify more precisely the skills that have been acquired or must still be worked on.

methods32 volunteers (surgeons, residents and medical students) performed the 5 tasks of the MISTELS training bench and were simultaneously video-recorded. Their performance was evaluated with the MISTELS score and with the GOALS score based on the review of the recording by two experienced, blinded laparoscopic surgeons. The concurrent validity of the GOALS score was assessed using Pearson and Spearman correlation coefficients with the MISTELS score. The construct validity of the GOALS score was assessed with k-means clustering and accuracy rates. Lastly, abilities explored by each MISTELS task were identified with multiple linear regression.

resultsGOALS and MISTELS scores are strongly correlated (Pearson correlation coefficient = 0.85 and Spearman correlation coefficient = 0.82 for the overall score). The GOALS score proves to be valid for construction for the tasks of the training bench, with a better accuracy rate between groups of level after k-means clustering, when compared to the original MISTELS score (accuracy rates, respectively, 0.75 and 0.56).

conclusionGOALS score is well suited for the evaluation of the performance of surgeons of different levels during the completion of the tasks of the MISTELS training bench.

Indexed as

Clinical CompetenceGoalsHumansInternship and ResidencyLaparoscopyOperating RoomsStudents, MedicalSurgeonsGOALSLaparoscopyMISTELSSurgical skills evaluation

Identifiers

What OpenQuestion holds

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Registered trials

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.