Evidence map›Paper›PMID 40386755›Full record

ArticleHCA healthcare journal of medicine2025

Using Point-of-Care Ultrasound for the Medical Management of Marathoners and Spectators: A Case Series.

Jacob D Pope, Casey Wilson, Kelsey Daller, Jonathan Hardin, Steven Rickett

Abstract readCase Reports
In one paragraph

Article in HCA healthcare journal of 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

5 authors.

Jacob D PopeGrand Strand Medical Center, Myrtle Beach, South Carolina.
Casey WilsonGrand Strand Medical Center, Myrtle Beach, South Carolina.
Kelsey DallerEdward Via College of Osteopathic Medicine, Spartanburg, South Carolina.
Jonathan HardinGrand Strand Medical Center, Myrtle Beach, South Carolina.
Steven RickettGrand Strand Medical Center, Myrtle Beach, South Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Temporary field hospitals play a crucial role in providing medical care to individuals who experience illnesses and injuries during mass gathering events. Handheld point-of-care ultrasound (POCUS) devices offer an affordable and portable adjunct for emergency care. We present multiple patients from a field hospital during a marathon event in which handheld POCUS devices changed clinical management. Case Presentation: A 75-year-old man who had fallen was able to be discharged after a lung exam confirmed no rib fractures or pneumothorax. A hypotensive and hypoglycemic 21-year-old man had an echocardiogram confirming volume depletion. He received treatment, and a repeat exam demonstrated improvement, which facilitated discharge. Finally, an ultrasound-guided intravenous catheter was placed in a 27-year-old woman with difficult vascular access. Conclusion: Point-of-care ultrasound facilitated the triage and evaluation of conditions such as fractures, pneumothorax, altered mental status, chest pain, and dehydration in a field hospital. The portability, availability, and affordability of handheld POCUS devices allowed for quick and convenient access to real-time imaging of marathon runners and event spectators. By leveraging these advantages, field hospitals can enhance their capability to deliver efficient and comprehensive medical care to patients during mass gathering events.

Indexed as

case reportsemergency medical servicesevent medicinehandheld ultrasoundPOCUSpoint-of-care systemspoint of care ultrasoundpre-hospitalSouth Carolina

Identifiers

PMID40386755
PMCPMC12080854

What OpenQuestion holds

Textmetadata
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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.