Evidence map›Paper›PMID 39788340›Full record

ReviewProgress in cardiovascular diseases

The complex role of cardiovascular imaging in viability testing.

Zachariah Nealy, Shuo Wang, Amit R Patel

Abstract readReview
In one paragraph

Review in Progress in cardiovascular diseases. 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. Article
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

3 authors.

Zachariah NealyDivision of Cardiovascular Medicine, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA.
Shuo WangDivision of Cardiovascular Medicine, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA.
Amit R PatelDivision of Cardiovascular Medicine, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA. Electronic address: apatel@virginia.edu.

Funding

Training in Cardiovascular Imaging ResearchT32EB003841 · NIBIB · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Jonathan R Lindner · 2004 to 2026
$4.4M
NIBIB NIH HHS T32 EB003841
6 · The paper itself

Abstract

Myocardial viability assessment is used to determine if chronically dysfunctional myocardium may benefit from coronary revascularization. Cardiac magnetic resonance with late gadolinium enhancement is the current gold standard for visualizing myocardial scar and provides valuable insight into myocardial viability. Viability assessments can also be made with Cardiac Positron Emission Tomography, Echocardiography, Single Photon Emission Tomography, and Cardiac Computed Tomography with each having advantages and disadvantages. Despite the classical interpretation that viability predicts segmental functional improvement, more recent studies have found that revascularization of viable myocardium has conflicting roles in predicting benefits for patients, especially as it relates to major adverse cardiovascular events, development of heart failure symptoms, and all-cause mortality. This review covers these conflicts along with an in-depth review of the pathophysiologic processes that are fundamental to myocardial viability and the various methods used for determining viability.

Indexed as

Cardiac Imaging TechniquesMyocardiumHumansPredictive Value of TestsPrognosisTissue SurvivalCardiac magnetic resonanceCardiac positron emission tomographyCoronary artery diseaseCoronary computed tomography angiographyMyocardial hibernationMyocardial ischemiaMyocardial perfusion imagingMyocardial stunningMyocardial viabilitySingle photon emission computed tomography

Identifiers

PMID39788340
PMCPMC11835452

What OpenQuestion holds

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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.