Evidence map›Paper›PMID 36106282›Full record

ArticleCureus2022

Severe Epistaxis in the Pediatric Patient: A Simulation for Emergency Department Management.

Olivia Gorbatkin, Jean Pearce, Monique Goldschmidt, Anita Thomas, Elizabeth Sanseau, Daisy Ciener, Regina Toto, Ashley E Keilman

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. 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, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

8 authors at 5 institutions in 1 country.

Olivia GorbatkinPediatrics, University of Washington, Seattle, USA.
Jean PearcePediatrics, Medical College of Wisconsin, Milwaukee, USA.
Monique GoldschmidtGastroenterology and Hepatology, Nationwide Children's Hospital, Columbus, USA.
Anita ThomasPediatric Emergency Medicine, Seattle Children's Hospital, Seattle, USA.
Elizabeth SanseauPediatric Emergency Medicine, Children's Hospital of Philadelphia, Philadelphia, USA.
Daisy CienerPediatric Emergency Medicine, Vanderbilt University Medical Center, Nashville, USA.
Regina TotoPediatric Emergency Medicine, Children's Hospital of Philadelphia, Philadelphia, USA.
Ashley E KeilmanPediatric Emergency Medicine, Seattle Children's Hospital, Seattle, USA.
Medical College of Wisconsin · USSeattle Children's Hospital · USSeattle University · USChildren's Hospital of Philadelphia · USNationwide Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe, uncontrolled epistaxis in a pediatric patient can lead to a compromised bloody airway and the potential need for significant volume resuscitation secondary to hemorrhagic shock if not managed emergently. In this report, a simulated 11-month-old patient with underlying liver disease presents to the emergency department setting. The goal was to familiarize advanced pediatric emergency medicine trainees and experienced providers with immediate bedside interventions and clinical management steps for a patient with severe, difficult-to-control epistaxis to increase preparedness for future clinical scenarios. Additionally, this case highlights resuscitation considerations for patients with liver disease, including sources of bleeding, consulting services, medications, and approach to massive transfusion in liver disease.

Indexed as

epistaxishemorrhagic shockliver diseasenasal packingpediatric emergencysimulationvolume resuscitation

Identifiers

PMID36106282
PMCPMC9451106
OpenAlexW4290667506

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.