Evidence map›Paper›PMID 37927520›Full record

ReviewSeminars in interventional radiology2023

Advancing IR in Underserved Regions: Interventional Radiology Simulation Near and Far.

Cornelius K Koech, Victor I Rivera, Kevin Anton, Robert G Dixon

Abstract readReview
In one paragraph

Review in Seminars in interventional radiology, 2023. 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
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.

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

4 authors.

Cornelius K KoechFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Victor I RiveraDivision of Interventional Radiology, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania.
Kevin AntonDivision of Interventional Radiology, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania.
Robert G DixonUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulation facilitates learning by imitating real-world systems or processes utilizing educational tools and models. Various fields, including business, aviation, and education use simulation for training. In healthcare, simulation provides trainees opportunities to develop procedural skills in a safe environment, building their understanding through hands-on interactions and experiences rather than passive didactics. Simulation is classified into low, medium, and high fidelity, based on how closely it mimics real-life experience. Its use in education is a valuable adjunct to instructional support and training with multiple potential benefits. Interventional radiology (IR) trainees can build technical and clinical proficiency prior to working directly on a patient. Simulation promotes experiential learning, constructivist learning, and student centeredness, thus giving students control over their learning and knowledge acquisition. More recently, the creative use of remote simulation has augmented traditional virtual didactic lectures, thereby further engaging international learners and enhancing remote collaboration. Despite the challenges to implementation, the addition of simulation in IR education is proving invaluable to supporting trainees and physicians in underserved regions.

Indexed as

global health educationhigh-fidelity simulationinterventional radiologyremote simulationsimulationsimulation in education

Identifiers

PMID37927520
PMCPMC10622241

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.