Evidence map›Paper›PMID 37465223›Full record

ArticleJournal of education & teaching in emergency medicine2020

Post-Coital Sudden Cardiac Arrest Due to Non-Traumatic Subarachnoid Hemorrhage-A Case Report.

Vinson Vong, John Costumbrado, Daniel Ng, Brandon Phong

Open access · greenAbstract read
In one paragraph

Article in Journal of education & teaching in emergency medicine, 2020. 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
0.1field-weighted citation impact, top 48% 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, 1 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

4 authors at 1 institution in 1 country.

Vinson VongRiverside Community Hospital/University of California Riverside, Department of Emergency Medicine, Riverside, CA.
John CostumbradoRiverside Community Hospital/University of California Riverside, Department of Emergency Medicine, Riverside, CA.
Daniel NgRiverside Community Hospital/University of California Riverside, Department of Emergency Medicine, Riverside, CA.
Brandon PhongUniversity of California, Riverside School of Medicine, Riverside, CA.
Riverside Community Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergency medicine (EM) learners are taught to approach cardiac arrest algorithmically using Advanced Cardiac Life Support (ACLS) with particular emphasis on treatment. However, when treating patients in cardiac arrest it is important to maintain a broad differential of possible non-cardiac etiologies of the presenting symptoms. A patient presented to the emergency department (ED) as a post-coital cardiac arrest with prehospital return of spontaneous circulation (ROSC). Electrocardiogram (ECG) suggested a possible coronary artery occlusion. Given the circumstances of the arrest, computed tomography (CT) of the head was performed which demonstrated a large subarachnoid hemorrhage (SAH). Emergent percutaneous coronary intervention (PCI) was deferred due to the alternative explanation for the ECG changes and the patient's instability. Her condition declined, and soon after the patient expired. Patients with sudden cardiac arrest (SCA) due to SAH are unlikely to benefit from PCI, hindering a more appropriate workup and treatment.1 When faced with patients presenting with SCA and relevant risk factors, it is important to avoid anchoring bias and consider that the ischemic changes on ECG may not be due to primary cardiac causes. Topics: Subarachnoid hemorrhage, sudden cardiac arrest, pulseless electrical activity, ECG, CT.

Identifiers

PMID37465223
PMCPMC10332552
OpenAlexW4384663599

What OpenQuestion holds

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LicenceCC BY
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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.