Evidence map›Paper›PMID 34317771›Full record

ArticleJTCVS techniques2020

Development of a median sternotomy simulation model for cardiac surgery training.

Thin Xuan Vo, Nadzir Juanda, Janet Ngu, Nada Gawad, Kathy LaBelle, Fraser D Rubens

Abstract read
In one paragraph

Article in JTCVS techniques, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Thin Xuan VoDivision of Cardiac Surgery, Department of Surgery, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
Nadzir JuandaDivision of Cardiac Surgery, Department of Surgery, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
Janet NguDivision of Cardiac Surgery, Department of Surgery, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
Nada GawadDivision of General Surgery, Department of Surgery, University of Ottawa, Ottawa, Ontario, Canada.
Kathy LaBelleUniversity of Ottawa Skills and Simulation Centre, Ottawa, Ontario, Canada.
Fraser D RubensDivision of Cardiac Surgery, Department of Surgery, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe sought to develop a simulation model to train resident physicians in the performance of a median sternotomy.

methodsA modified Delphi consensus process was used with cardiac surgery staff to develop a 20-point checklist for the safe performance of a median sternotomy. Thirteen junior cardiac surgery trainees from across Canada participated in this study to assess the simulation model. Trainees performed the sternotomy before and after reviewing an instructional video. Two senior cardiac surgery resident physicians assessed the participants with the checklist during each session. An entry and exit questionnaire was given to the participants to evaluate the simulation model.

resultsParticipants scored higher after the training (14.3 ± 2.0) compared with before training (8.0 ± 3.1) (

conclusionsUsing the simulation model, training video, and checklist, trainees were able to improve their skill in performing a median sternotomy. This improvement was associated with longer times to complete all procedure steps. Rater training may further improve interrater reliability. Our median sternotomy checklist and simulation model can be adopted for the technical skills training of future cardiac surgery trainees.

Indexed as

medical educationsimulationsternotomysurgical education

Identifiers

PMID34317771
PMCPMC8298924

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.