Evidence map›Paper›PMID 41404263›Full record

ArticleCureus2025

Expedited Care for a Patient With Uncertain Myocardial Infarction Using Point-of-Care Ultrasound in Critical Access Emergency Medicine: A Case Report.

Jamal Jones, David M Crockett, Vismaya Kharkar, Sarah Petelinsek, Astrid Haaland, Jennifer Cotton

Abstract readCase Reports
In one paragraph

Article in Cureus, 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

6 authors.

Jamal JonesDepartment of Emergency Medicine, University of Utah Health, Salt Lake City, USA.
David M CrockettDepartment of Emergency Medicine, University of Utah Health, Salt Lake City, USA.
Vismaya KharkarDepartment of Internal Medicine, University of Utah Health, Salt Lake City, USA.
Sarah PetelinsekDepartment of Medicine, University of Utah Health, Salt Lake City, USA.
Astrid HaalandDepartment of Emergency Medicine, University of Utah Health, Salt Lake City, USA.
Jennifer CottonDepartment of Emergency Medicine, Univeristy of Utah Health, Salt Lake City, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care ultrasound (POCUS) is a valuable tool for emergency department (ED) physicians. In this case report, we demonstrate how the use of cardiac POCUS can enhance access to definitive care for emergent cardiac complaints in rural settings lacking the resources of tertiary care facilities. We present the case of a 73-year-old woman who presented to the ED with one hour of chest pain concerning for myocardial infarction versus acute pericarditis. Bedside echocardiography was performed, ruling out pericarditis and establishing the diagnosis. The rapid availability of POCUS reduced diagnostic uncertainty, enabling timely management of an ST-elevation myocardial infarction (STEMI), despite associated health risks and geographical barriers to immediate percutaneous coronary intervention. In order to reduce diagnostic uncertainty, bedside cardiac ultrasound was performed, with results most significant for STEMI. Ultimately, despite geographic barriers, as a result of POCUS, this patient was able to quickly access definitive care for a condition in which "time is tissue," reducing both the potential morbidity and mortality associated with STEMIs.

Indexed as

adult echocardiographycardiac pocuspocuspocus in emergency medicinepoint-of-care cardiac ultrasoundpoint-of-care-ultrasoundst-elevation myocardial infarction (stemi)

Identifiers

PMID41404263
PMCPMC12702625

What OpenQuestion holds

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LicenceCC BY
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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.