Evidence map›Paper›PMID 31139998›Full record

Trial reportSurgical endoscopy2020

Self-directed training with e-learning using the first-person perspective for laparoscopic suturing and knot tying: a randomised controlled trial : Learning from the surgeon's real perspective.

Mona W Schmidt, Karl-Friedrich Kowalewski, Sarah M Trent, Laura Benner, Beat P Müller-Stich, Felix Nickel

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Surgical endoscopy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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  10. REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE "LAPP" PLATFORM.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2023
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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 at 1 institution in 1 country.

Mona W SchmidtDepartment of General, Visceral, and Transplantation Surgery, University Hospital of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Karl-Friedrich KowalewskiDepartment of General, Visceral, and Transplantation Surgery, University Hospital of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Sarah M TrentDepartment of General, Visceral, and Transplantation Surgery, University Hospital of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Laura BennerInstitute of Medical Biometry and Informatics, University of Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
Beat P Müller-StichDepartment of General, Visceral, and Transplantation Surgery, University Hospital of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Felix NickelDepartment of General, Visceral, and Transplantation Surgery, University Hospital of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany. felix.nickel@med.uni-heidelberg.de.ORCID 0000-0001-6066-8238
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaparoscopic suturing and knot tying is essential for advanced laparoscopic procedures and requires training outside of the operating room. However, personal instruction by experienced surgeons is limitedly available. To address this, the concept of combining e-learning with practical training has become of interest. This study aims to investigate the influence of the first-person perspective in instructional videos, as well as the feasibility of a completely self-directed training curriculum for laparoscopic suturing and knot tying. MATERIALS AND

methodsNinety-one laparoscopically naïve medical students were randomised into two groups training with e-learning videos in either the first-person perspective (combining endoscopic view and view of hands/instruments/forearm motion) or the endoscopic view only. Both groups trained laparoscopic suturing and knot tying in teams of two until reaching predefined proficiency levels. Blinded, trained raters regularly assessed the participants' performance by using validated checklists. After training, participants filled out questionnaires regarding training experience and personal characteristics.

resultsAverage training time to reach proficiency did not differ between groups [first-person perspective (min): 112 ± 44; endoscopic view only (min): 109 ± 47; p = 0.746]. However, participants from both groups perceived the first-person perspective as useful for learning new laparoscopic skills. Both groups showed similar baseline performances and improved significantly after training [Objective Structured Assessment of Technical Skills (OSATS) (max. 37 points): first-person perspective: 30.3 ± 2.3; endoscopic view only: 30.8 ± 2.3]. All participants managed to reach proficiency, needing 8-43 attempts without differences between groups. Visuospatial abilities (mental rotation) seemed to enhance the learning curve.

conclusionModifying instructional videos to the first-person perspective did not translate into a better performance in this setting but was welcomed by participants. Completely self-directed training with the use of e-learning can be a feasible training approach to achieve technical proficiency in laparoscopic suturing and knot tying in a training setting.

Indexed as

Computer-Assisted InstructionSelf-Directed Learning as TopicStudents, MedicalClinical CompetenceFemaleHumansLaparoscopyLearning CurveMaleProspective StudiesSuture TechniquesYoung Adulte-LearningFirst-person perspectiveLaparoscopic suturing and knot tyingMinimally invasive surgeryTraining

Identifiers

PMID31139998
OpenAlexW2947559067

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.