Evidence map›Paper›PMID 31089881›Full record

ArticleSurgical endoscopy2019

Simulation platforms to assess laparoscopic suturing skills: a scoping review.

Elif Bilgic, Motaz Alyafi, Tomonori Hada, Tara Landry, Gerald M Fried, Melina C Vassiliou

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2019. 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
–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

5 citing papers in PubMed.

  1. 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

6 authors.

Elif BilgicSteinberg Centre for Simulation and Interactive Learning, McGill University, Montreal, QC, Canada.
Motaz AlyafiSteinberg-Bernstein Centre for Minimally Invasive Surgery and Innovation, McGill University Health Centre, 1650, Cedar Avenue, L9. 313, Montreal, QC, H3G 1A4, Canada.
Tomonori HadaSteinberg-Bernstein Centre for Minimally Invasive Surgery and Innovation, McGill University Health Centre, 1650, Cedar Avenue, L9. 313, Montreal, QC, H3G 1A4, Canada.
Tara LandryMontreal General Hospital Medical Library, McGill University Health Centre, Montreal, QC, Canada.
Gerald M FriedSteinberg-Bernstein Centre for Minimally Invasive Surgery and Innovation, McGill University Health Centre, 1650, Cedar Avenue, L9. 313, Montreal, QC, H3G 1A4, Canada.
Melina C VassiliouSteinberg-Bernstein Centre for Minimally Invasive Surgery and Innovation, McGill University Health Centre, 1650, Cedar Avenue, L9. 313, Montreal, QC, H3G 1A4, Canada. melina.vassiliou@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaparoscopic suturing (LS) has become a common technique used in a variety of advanced laparoscopic procedures. However, LS is a challenging skill to master, and many trainees may not be competent in performing LS at the end of their training. The purpose of this review is to identify simulation platforms available for assessment of LS skills, and determine the characteristics of the platforms and the LS skills that are targeted.

methodsA scoping review was conducted between January 1997 and October 2018 for full-text articles. The search was done in various databases. Only articles written in English or French were included. Additional studies were identified through reference lists. The search terms included "laparoscopic suturing" and "clinical competence."

resultsSixty-two studies were selected. The majority of the simulation platforms were box trainers with inanimate tissue, and targeted basic suturing and intracorporeal knot-tying techniques. Most of the validation came from internal structure (rater reliability) and relationship to other variables (compare training levels/case experience, and various metrics). Consequences were not addressed in any of the studies.

conclusionWe identified many types of simulation platforms that were used for assessing LS skills, with most being for assessment of basic skills. Platforms assessing the competence of trainees for advanced LS skills were limited. Therefore, future research should focus on development of LS tasks that better reflect the needs of the trainees.

Indexed as

LaparoscopyComputer SimulationEducational MeasurementHumansReproducibility of ResultsSuture TechniquesAssessmentLaparoscopySimulationSuturing

Identifiers

What OpenQuestion holds

Textmetadata
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.