Evidence mapPaperPMID 40779096Full record

ReviewThe international journal of cardiovascular imaging2025

Imaging of metabolic dysfunction in genetic cardiomyopathies.

Giulia De Zan, Marco Guglielmo, Maarten J Cramer, Marjolein Hol, Pim van der Harst, Birgitta Velthuis, Jeanine J Prompers, Anneline S J M Te Riele

Abstract readReview
In one paragraph

Review in The international journal of cardiovascular imaging, 2025. 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
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

0 citing papers in PubMed.

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

8 authors.

Giulia De ZanDepartment of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands. g.dezan@umcutrecht.nl.ORCID http://orcid.org/0009-0008-9486-9618
Marco GuglielmoDepartment of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.
Maarten J CramerDepartment of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.
Marjolein HolDepartment of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Pim van der HarstDepartment of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.
Birgitta VelthuisDepartment of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Jeanine J PrompersCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
Anneline S J M Te RieleDepartment of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Funding

ZonMw 04510012010041
6 · The paper itself

Abstract

Genetic cardiomyopathies (CMPs) are a known cause of morbidity and mortality, with up to 50% of patients diagnosed below the age of 40 years for certain CMPs. With the improved availability of advanced imaging tools, significant progress has been made in early diagnosis and subsequent management. Due to the growing scientific interest in the genetic variants underlying these CMPs, data supporting a possible direct effect of the disease-defining genetic variant on cardiac metabolism have accumulated. Moreover, metabolic impairment seems to be correlated with phenotype, performance status and eventually prognosis at any stage of the disease. In this review we aim to outline the existing evidence supporting the use of imaging techniques to visualize and quantify myocardial metabolism in different CMPs. The review focuses on positron emission tomography (PET), single photon emission computed tomography (SPECT) and magnetic resonance spectroscopy (MRS), describing the basics of their functioning, strengths and weaknesses, and their use in the context of different CMPs. Finally, the latest technologies in this field and potential future directions in disease diagnosis and management are described.

Indexed as

CardiomyopathiesEnergy MetabolismMyocardiumTomography, Emission-Computed, Single-PhotonGenetic Predisposition to DiseaseHumansMagnetic Resonance SpectroscopyPhenotypePositron-Emission TomographyPredictive Value of TestsPrognosisCardiomyopathiesImagingMetabolismMRSPETSPECT

Identifiers

PMID40779096
PMCPMC12491375

What Socratic holds

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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 Socratic graph.