Evidence map›Paper›PMID 40255088›Full record

ArticleJournal of intensive care medicine2025

BRAIN-SIM: Leveraging Simulation for Neurocritical Care Education with an Innovative Multidisciplinary Approach.

Brett DerGarabedian, Lauren Lacovara, Justin Delic, Swarna Rajagopalan

Abstract read
In one paragraph

Article in Journal of intensive care medicine, 2025. 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.

Brett DerGarabedianCooper Medical School of Rowan University, Camden, NJ, USA.ORCID 0000-0003-1191-7845
Lauren LacovaraCooper Medical School of Rowan University, Camden, NJ, USA.
Justin DelicDepartment of Pharmacy, Cooper University Health Care, Camden, NJ, USA.ORCID 0000-0003-0166-6405
Swarna RajagopalanDepartment of Neurology, Cooper University Health Care, Camden, NJ, USA.ORCID 0000-0002-0490-503X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and ObjectivesEarly recognition and response are paramount in the treatment of neurologic emergencies. Due to its complexity, neurocritical care continues to provoke unease for practitioners and trainees. Simulation provides a realistic opportunity for learners to detect an acutely deteriorating neurologic patient and make rapid-fire treatment decisions. A multidisciplinary simulation-based learning environment may improve trainee confidence when caring for the neurocritical care patient population.MethodsNine simulation lab sessions were performed with a multidisciplinary team including medical students, residents, critical care medicine fellows, advanced practice providers (APP), critical care pharmacy residents, and neuroscience unit nurses. High fidelity manikins capable of reproducing acute neurologic and physiologic emergencies were used. After the simulation, participants completed a survey utilizing Likert scale responses regarding simulation logistics, faculty competence, and pre- and post-simulation confidence levels managing specific acute neurologic emergencies and performing neurocritical care procedural skills.ResultsNine simulation lab sessions were conducted, and thirty-eight surveys were completed. Mean learner confidence levels in managing patients improved from pre- to post-simulation in patients with coma [3.18 ± 0.51 versus 4.32 ± 0.25 (

Indexed as

Critical CareSimulation TrainingClinical CompetenceHumansManikinsPatient Care Teamcomaconfidencecritical careeducationmultidisciplinary critical careneurocritical caresimulationstatus epilepticusstroke

Identifiers

PMID40255088
PMCPMC12177193

What OpenQuestion holds

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Registered trials

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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.