Evidence map›Paper›PMID 34657220›Full record

ReviewCurrent cardiology reports2021

Imaging Coronary Allograft Vasculopathy with Cardiac PET and Cardiac MRI.

Chaitanya Madamanchi, Matthew C Konerman, Venkatesh L Murthy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Journal of the American Heart Association · 2025
    Article
  3. Review
  4. Review
  5. 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.

Chaitanya MadamanchiFrankel Cardiovascular Center, Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA. cmadaman@med.umich.edu.ORCID http://orcid.org/0000-0003-4971-0110
Matthew C KonermanFrankel Cardiovascular Center, Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Venkatesh L MurthyFrankel Cardiovascular Center, Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCoronary allograft vasculopathy (CAV) is a leading cause of morbidity and mortality in heart transplant patients. It presents a diagnostic challenge as early CAV is often clinically silent, and it affects both epicardial coronary arteries and microvasculature. This review outlines the role of cardiac positron emission tomography (PET) and cardiac magnetic resonance imaging (CMR) in the diagnosis and prognosis of CAV. RECENT

findingsRelative myocardial perfusion imaging (MPI) and quantitative myocardial blood flow using cardiac PET are useful in the diagnosis and prognosis of CAV. Late gadolinium enhancement (LGE) and quantitative measures including myocardial perfusion reserve and mean diastolic rate using CMR are useful in the diagnosis and prognosis of CAV. Cardiac PET is now established as a non-invasive imaging modality for screening and monitoring for CAV, and CMR has demonstrated promise in this application. Further investigation of these modalities is needed with larger, multicenter studies that follow patients serially to demonstrate the clinical implications of using these modalities to detect early CAV and alter therapies to improve patient outcomes.

Indexed as

Contrast MediaGadoliniumAllograftsCoronary AngiographyHumansMagnetic Resonance ImagingPositron-Emission TomographyContrast MediaGadoliniumCoronary allograft vasculopathyMagnetic resonance imagingPositron emission tomography

Identifiers

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.