Evidence map›Paper›PMID 35515012›Full record

ArticleResuscitation plus2022

Simulation-based assessment of trainee's performance in post-cardiac arrest resuscitation.

Afrah A Ali, Wan-Tsu W Chang, Ali Tabatabai, Melissa B Pergakis, Camilo A Gutierrez, Benjamin Neustein, Gregory E Gilbert, Jamie E Podell, Gunjan Parikh, Neeraj Badjatia and 3 more

Open access · goldAbstract read
In one paragraph

Article in Resuscitation plus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Observational
  3. La Tunisie medicale · 2023
    Article
  4. 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

13 authors at 2 institutions in 1 country.

Afrah A AliDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Wan-Tsu W ChangDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Ali TabatabaiDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Melissa B PergakisDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
Camilo A GutierrezDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
Benjamin NeusteinProgram in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA.
Gregory E GilbertΣigmaΣtats Consulting©, LLC, Charleston, SC, USA.
Jamie E PodellDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
Gunjan ParikhDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
Neeraj BadjatiaDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
Melissa MottaDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
David P LernerDepartment of Neurology, Lahey Hospital and Medical Center, Burlington, MA, USA.
Nicholas A MorrisDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
University of Maryland, Baltimore · USLahey Hospital and Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess trainees' performance in managing a patient with post-cardiac arrest complicated by status epilepticus. Methods: In this prospective, observational, single-center simulation-based study, trainees ranging from sub interns to critical care fellows evaluated and managed a post cardiac arrest patient, complicated by status epilepticus. Critical action items were developed by a modified Delphi approach based on American Heart Association guidelines and the Neurocritical Care Society's Emergency Neurological Life Support protocols. The primary outcome measure was the critical action item sum score. We sought validity evidence to support our findings by including attending neurocritical care physicians and comparing performance across four levels of training. Results: Forty-nine participants completed the simulation. The mean sum of critical actions completed by trainees was 10/21 (49%). Eleven (22%) trainees verbalized a differential diagnosis for the arrest. Thirty-two (65%) reviewed the electrocardiogram, recognized it as abnormal, and consulted cardiology. Forty trainees (81%) independently decided to start temperature management, but only 20 (41%) insisted on it when asked to reconsider. There was an effect of level of training on critical action checklist sum scores (novice mean score [standard deviation (SD)] = 4.8(1.8) vs. intermediate mean score (SD) = 10.4(2.1) vs. advanced mean score (D) = 11.6(3.0) vs. expert mean score (SD) = 14.7(2.2)). Conclusions: High-fidelity manikin-based simulation holds promise as an assessment tool in the performance of post-cardiac arrest care.

Indexed as

ANOVA, Analysis of variancecEEG, Continuous EEGCI, Confidence IntervalsCritical CareCT, Computed tomographyECG, ElectrocardiographyEEG, ElectroencephalogramENLS, Emergency Neurological Life SupportHypothermiaICC, Intra-class correlationInducedIQR, Interquartile rangesOHCA, Out of Hospital Cardiac ArrestOut of Hospital Cardiac ArrestPGY, Post graduate yearSD, Standard DeviationSimulationStatus Epilepticus

Identifiers

PMID35515012
PMCPMC9065740
OpenAlexW4229031317

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.