Evidence map›Paper›PMID 23436096›Full record

ArticleSurgical endoscopy2013

Learning curve on the TrEndo laparoscopic simulator compared to an expert level.

Pieter J van Empel, Joris P Commandeur, Lennart B van Rijssen, Mathilde G E Verdam, Judith A Huirne, Fedde Scheele, H Jaap Bonjer, W Jeroen Meijerink

Abstract readComparative StudyMulticenter Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

3 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Pieter J van EmpelDepartment of Surgery, VU University Medical Center, Amsterdam, The Netherlands. p.vanempel@vumc.nl
Joris P Commandeur
Lennart B van Rijssen
Mathilde G E Verdam
Judith A Huirne
Fedde Scheele
H Jaap Bonjer
W Jeroen Meijerink

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to determine growth in trainee laparoscopic skill as recorded by the TrEndo laparoscopic simulator during a laparoscopic training course, compared to an expert level.

methodsA prospective observational cohort study was conducted between February 1 and November 31, 2010. Trainees in laparoscopic surgery completed a basic laparoscopic suturing task on a laparoscopic box trainer at three successive assessment points during a laparoscopic training course. Experts were assessed only once to define an expert level. The TrEndo recorded four motion analysis parameters (MAPs) individually for each hand and the amount of time taken to complete the suturing task.

resultsSeventy-two residents and 56 experts were included in this study. Overall, the amount of time taken on the suturing task and seven out of eight MAPs significantly increased toward an expert level during the course, representing an improvement in task efficiency. During the first training day, the amount of time spent on the suturing task and five out of eight MAPs improved significantly. After the retention period, five out of eight MAPS demonstrated a significant improvement compared to the end of the first training day.

conclusionsLaparoscopic skill of trainees as recorded by the TrEndo laparoscopic simulator grows toward an expert level during a laparoscopic training course in a large and heterogeneous study group. Construct validity of the TrEndo is established.

Indexed as

Clinical CompetenceComputer SimulationLaparoscopesEducation, Medical, ContinuingEquipment DesignHumansLaparoscopyLearning CurveProspective Studies

Identifiers

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.