Evidence map›Paper›PMID 38248767›Full record

ReviewJournal of personalized medicine2024

Adult Congenital Heart Disease in the Emergency Department.

Rachel A Lindor, Kim Heller, Nicole R Hodgson, Patrick Kishi, Jessica Monas, Douglas Rappaport, Aaron Thomas, Andrej Urumov, Laura E Walker, David S Majdalany

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Rachel A LindorMayo Clinic Department of Emergency Medicine, Phoenix, AZ 85054, USA.ORCID 0000-0003-3099-8388
Kim HellerMayo Clinic Department of Emergency Medicine, Phoenix, AZ 85054, USA.
Nicole R HodgsonMayo Clinic Department of Emergency Medicine, Phoenix, AZ 85054, USA.
Patrick KishiMayo Clinic Department of Emergency Medicine, Phoenix, AZ 85054, USA.
Jessica MonasMayo Clinic Department of Emergency Medicine, Phoenix, AZ 85054, USA.
Douglas RappaportMayo Clinic Department of Emergency Medicine, Phoenix, AZ 85054, USA.
Aaron ThomasMayo Clinic Department of Emergency Medicine, Phoenix, AZ 85054, USA.
Andrej UrumovMayo Clinic Department of Emergency Medicine, Phoenix, AZ 85054, USA.ORCID 0000-0001-8636-2085
Laura E WalkerMayo Clinic Department of Emergency Medicine, Rochester, MN 55905, USA.ORCID 0000-0002-1127-327X
David S MajdalanyMayo Clinic Department of Cardiovascular Diseases, Phoenix, AZ 85054, USA.ORCID 0000-0002-5472-6689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While congenital heart disease historically was a pathology primarily restricted to specialized pediatric centers, advances in technology have dramatically increased the number of people living into adulthood, the number of complications faced by these patients, and the number of patients visiting non-specialized emergency departments for these concerns. Clinicians need to be aware of the issues specific to patients' individual congenital defects but also have an understanding of how typical cardiac pathology may manifest in this special group of patients. This manuscript attempts to provide an overview of this diverse but increasingly common group of adult patients with congenital heart diseases, including a review of their anatomical variants, the complications they face at the highest rates, and ways that emergency physicians may need to manage these patients differently to avoid causing harm.

Indexed as

adult congenital heart diseaseemergency department

Identifiers

PMID38248767
PMCPMC10817528

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.