Evidence map›Paper›PMID 40217634›Full record

ReviewJournal of clinical medicine2025

The Utility of Nuclear Imaging in Hypertrophic Cardiomyopathy: A Narrative Review.

Sukruth Pradeep Kundur, Ali Malik, Sanjay Sivalokanathan

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. 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

3 authors.

Sukruth Pradeep KundurFaculty of Life Sciences and Medicine, King's College London, London WC2R 2LS, UK.ORCID 0009-0004-3088-8220
Ali MalikFaculty of Life Sciences and Medicine, King's College London, London WC2R 2LS, UK.ORCID 0009-0001-4168-0589
Sanjay SivalokanathanMount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-3227-3295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) is the most common genetically inherited cardiac condition, characterized by clinical heterogeneity and a significantly increased risk of adverse cardiovascular outcomes, including sudden cardiac death. Current diagnostic methods primarily use echocardiography, often supplemented by cardiovascular magnetic resonance imaging (MRI), to assess the clinical profile of the disorder. Effective risk stratification protocols are essential for managing patients with HCM. These models rely on patient histories, imaging findings, and genetic information to evaluate the prognosis. Important factors in risk assessment include severe left ventricular hypertrophy (>30 mm), late gadolinium enhancement (>15%), or the presence of an apical aneurysm. However, these imaging techniques may lack sensitivity when it comes to detecting ischemia or microvascular dysfunction. Nuclear imaging methods, such as single-photon emission computed tomography (SPECT) and positron emission tomography (PET), offer a more comprehensive analysis of HCM. They provide valuable insights into the complex physiological mechanisms underlying the disease and facilitate early detection of functional abnormalities. This is particularly important for identifying high-risk phenotypes and understanding associated risk factors that may increase morbidity or mortality. This narrative review focuses on the role of nuclear imaging in the context of hypertrophic cardiomyopathy.

Indexed as

hypertrophic cardiomyopathyinherited cardiac diseasesnuclear imagingPETrisk stratificationSPECTsudden cardiac death

Identifiers

PMID40217634
PMCPMC11989881

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.