Evidence map›Paper›PMID 37994976›Full record

ArticleEmergency radiology2024

Radiology resident competency in detecting basilar artery occlusion: a simulation-based assessment.

Abheek G Raviprasad, Kevin Pierre, Scott A McGaugh, Isabella E Amador, Ulysse G McCann, Roberta M Slater, Christopher L Sistrom, Brandon Lucke-Wold, Shyamsunder Sabat, Dhanashree A Rajderkar and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Emergency radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

12 authors at 1 institution in 1 country.

Abheek G RaviprasadDepartment of Radiology, University of Florida College of Medicine, PO Box 100374, Gainesville, FL, 32610, USA. raviprasada@ufl.edu.ORCID http://orcid.org/0000-0002-0429-964X
Kevin PierreDepartment of Radiology, University of Florida College of Medicine, PO Box 100374, Gainesville, FL, 32610, USA.
Scott A McGaughCollege of Medicine, University of Florida, PO Box 100243, Gainesville, FL, 32610, USA.
Isabella E AmadorCollege of Medicine, University of Florida, PO Box 100243, Gainesville, FL, 32610, USA.
Ulysse G McCannCollege of Medicine, University of Florida, PO Box 100243, Gainesville, FL, 32610, USA.
Roberta M SlaterDepartment of Radiology, University of Florida College of Medicine, PO Box 100374, Gainesville, FL, 32610, USA.
Christopher L SistromDepartment of Radiology, University of Florida College of Medicine, PO Box 100374, Gainesville, FL, 32610, USA.
Brandon Lucke-WoldLillian S. Wells Department of Neurosurgery, University of Florida College of Medicine, 1505 SW Archer Road, Gainesville, FL, 32608, USA.
Shyamsunder SabatDepartment of Radiology, University of Florida College of Medicine, PO Box 100374, Gainesville, FL, 32610, USA.
Dhanashree A RajderkarDepartment of Radiology, University of Florida College of Medicine, PO Box 100374, Gainesville, FL, 32610, USA.
Priya G SharmaDepartment of Radiology, University of Florida College of Medicine, PO Box 100374, Gainesville, FL, 32610, USA.
Anthony A MancusoDepartment of Radiology, University of Florida College of Medicine, PO Box 100374, Gainesville, FL, 32610, USA.
University of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBasilar artery strokes are rare but can have characteristic imaging findings that can often be overlooked. This retrospective study aims to assess radiology residents' ability to identify CT imaging findings of basilar artery occlusion in a simulated call environment.

methodsThe Wisdom in Diagnostic Imaging Emergent/Critical Care Radiology Simulation (WIDI SIM)-a tested and reliable computer-aided emergency imaging simulation-was employed to assess resident readiness for independent radiology call. The simulations include 65 cases of varying complexity, including normal studies, with one case specifically assessing basilar artery stroke. Residents were presented with a single, unique case of basilar artery occlusion in two separate years of testing and were only provided with non-contrast CT images. Residents' free text responses were manually scored by faculty members using a standardized grading rubric, with errors subsequently classified by type.

resultsA total of 454 radiology residents were tested in two separate years on the imaging findings of basilar artery occlusion using the Wisdom in Diagnostic Imaging simulation web-based testing platform. Basilar artery occlusion was consistently underdiagnosed by radiology residents being tested for call readiness irrespective of the numbers of years in training. On average, only 14% of radiology residents were able to correctly identify basilar artery occlusion on non-contrast CT.

conclusionsOur findings underscore a potential gap in radiology residency training related to the detection of basilar artery occlusion, highlighting the potential need for increased educational efforts in this area.

Indexed as

Internship and ResidencyRadiologyStrokeBasilar ArteryHumansProfessional CompetenceRetrospective StudiesBasilar artery occlusionRadiologyResidentsSimulationTraining

Identifiers

PMID37994976
OpenAlexW4388942874

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.