Evidence map›Paper›PMID 26659239›Full record

ArticleSurgical endoscopy2016

Face, content, construct, and concurrent validity of a novel robotic surgery patient-side simulator: the Xperience™ Team Trainer.

Song Xu, Manuela Perez, Cyril Perrenot, Nicolas Hubert, Jacques Hubert

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Development and Validation of a Homemade, Low-Cost Laparoscopic Simulator for Resident Surgeons (LABOT).International journal of environmental research and public health · 2020
    Article
  5. Review
  6. Article
  7. Article
  8. Review
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

5 authors.

Song XuIADI/Inserm U947, Lorraine University, Nancy, 54000, France.
Manuela PerezIADI/Inserm U947, Lorraine University, Nancy, 54000, France.
Cyril PerrenotIADI/Inserm U947, Lorraine University, Nancy, 54000, France.
Nicolas HubertIADI/Inserm U947, Lorraine University, Nancy, 54000, France.
Jacques HubertIADI/Inserm U947, Lorraine University, Nancy, 54000, France. j.hubert@chu-nancy.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the face, content, construct, and concurrent validity of the Xperience™ Team Trainer (XTT) as an assessment tool of robotic surgical bed-assistance skills.

methodsSubjects were recruited during a robotic surgery curriculum. They were divided into three groups: the group RA with robotic bed-assistance experience, the group LS with laparoscopic surgical experience, and the control group without bed-assistance or laparoscopic experience. The subjects first performed two standard FLS exercises on a laparoscopic simulator for the assessment of basic laparoscopic skills. After that, they performed three virtual reality exercises on XTT, and then performed similar exercises on physical models on a da Vinci(®) box trainer.

resultsTwenty-eight persons volunteered for and completed the tasks. Most expert subjects agreed on the realism of XTT and the three exercises, and also their interest for teamwork and bed-assistant training. The group RA and the group LS demonstrated a similar level of basic laparoscopic skills. Both groups performed better than the control group on the XTT exercises (p < 0.05). The performance superiority of the group RA over LS was observed but not statistically significant. Correlation of performance was determined between the tests on XTT and on da Vinci(®) box trainer.

conclusionsThe introduction of XTT facilitates the training of bedside assistants and emphasizes the importance of teamwork, which may change the paradigm of robotic surgery training in the near future. As an assessment tool of bed-assistance skills, XTT proves face, content, and concurrent validity. However, these results should be qualified considering the potential limitations of this exploratory study with a relatively small sample size. The training modules remain to be developed, and more complex and discriminative exercises are expected. Other studies will be needed to further determine construct validity in the future.

Indexed as

Clinical CompetenceSimulation TrainingAdultCase-Control StudiesHumansLaparoscopyRobotic Surgical ProceduresBedside assistantRobotic simulatorRobotic surgical trainingValidityVirtual reality simulationXperience Team Trainer

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.