Evidence map›Paper›PMID 34109502›Full record

ReviewJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2023

Utility of nuclear cardiovascular imaging in the cardiac intensive care unit.

Aldo L Schenone, Erika Hutt, Paul Cremer, Wael A Jaber

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2023. 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
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Aldo L SchenoneCleveland Clinic Heart, Thoracic, Institute Cleveland Clinic, 9500 Euclid Ave. J1-5, Cleveland, OH, 44195, USA.
Erika HuttCleveland Clinic Heart, Thoracic, Institute Cleveland Clinic, 9500 Euclid Ave. J1-5, Cleveland, OH, 44195, USA.
Paul CremerCleveland Clinic Heart, Thoracic, Institute Cleveland Clinic, 9500 Euclid Ave. J1-5, Cleveland, OH, 44195, USA.
Wael A JaberCleveland Clinic Heart, Thoracic, Institute Cleveland Clinic, 9500 Euclid Ave. J1-5, Cleveland, OH, 44195, USA. jaberw@ccf.org.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The contemporary Cardiac Intensive Care Unit (CICU) has evolved into a complex unit that admits a heterogeneous mix of patients with a wide range of acute cardiovascular diseases often complicated by multi-organ failure. Although electrocardiography (ECG) and echocardiography are well-established as first-line diagnostic modalities for assessing patients in the CICU, nuclear cardiology imaging has emerged as a useful adjunctive diagnostic modality. The versatility, safety and accuracy of nuclear imaging (e.g., perfusion, metabolism, inflammation) for the assessment of patient with coronary artery disease, ventricular arrhythmias, infiltrative cardiomyopathies, infective endocarditis and inflammatory aortopathies has been proven useful and now often incorporated into the best practices for the management of critically ill cardiac patients. Thus, clinicians must familiarize themselves with the value and current and future applications of nuclear imaging in the management of the cardiac patient in the CICU.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseEchocardiographyHeartHumansIntensive Care UnitsCardiac intensive care unitEndocarditisNuclear cardiologyPositron emission tomographySarcoidosis

Identifiers

PMID34109502
OpenAlexW3172719701

What OpenQuestion holds

Textmetadata
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.