Evidence map›Paper›PMID 36620817›Full record

ArticleCureus2022

Development and Initial Assessment of a Novel Customized Deep Laceration Simulator for Suturing Training.

Mithusa Sivanathan, Julia Micallef, Krystina M Clarke, Merieme Habti, Florence Bénard, Léamarie Meloche-Dumas, Erica Patocskai, Adam Dubrowski

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 71% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Mithusa SivanathanHealth Sciences, Ontario Tech University, Oshawa, CAN.
Julia MicallefHealth Sciences, Ontario Tech University, Oshawa, CAN.
Krystina M ClarkeHealth Sciences, Ontario Tech University, Oshawa, CAN.
Merieme HabtiMedical Pedagogy, University of Montreal, Montreal, CAN.
Florence BénardGeneral Surgery, University of Montreal, Montreal, CAN.
Léamarie Meloche-DumasSurgical Oncology, University of Montreal, Montreal, CAN.
Erica PatocskaiSurgical Oncology, University of Montreal, Montreal, CAN.
Adam DubrowskiHealth Sciences, Ontario Tech University, Oshawa, CAN.
Montreal General Hospital · CAUniversity of Ontario Institute of Technology · CAUniversité de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suturing of different layers, such as deep lacerations, is a challenging clinical skill for residents. Currently, there is a lack of general suturing instructions and practice in undergraduate medicine curricula which would add to the education required during residency and could be impactful to patient safety. Therefore, in order to adequately prepare trainees for clinical practice, training in suturing needs to be made more robust and executable. One way to facilitate this is to provide easy access to equipment that can offer good educational value while allowing for adequate repetition of suturing deep lacerations outside of clinical settings, similar to how it has been done for superficial lacerations. Simulation-based medical education addresses this by training residents in healthcare skills in a safe and controlled environment. Our technical report aims to describe the development and initial evaluation of a deep laceration simulator designed to train residents in suturing. The simulator was made using additive manufacturing techniques such as three-dimensional printing and silicone. Feedback on the simulator was provided by Centre Hospitalier de l'Université de Montréal clinicians from various specialties and residents. The simulator was assessed mainly as being easy to use, durable, and having anatomically accurate characteristics. The main improvements suggested were to make the skin thinner, divide the epidermis and dermis, add a fascia, and create a looser and friable layer of fat. Overall, the respondents rated the simulator as a good educational tool with a few minor adjustments.

Indexed as

3d-printingdeep cutdeep lacerationdeep woundsimulation-based learningsimulation-based medical educationsimulatorsuturingthree-dimensional printingtraining

Identifiers

PMID36620817
PMCPMC9812526
OpenAlexW4311545470

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.