ReviewJournal of clinical medicine2022
Multimodality Imaging in Cardiomyopathies with Hypertrophic Phenotypes.
Review in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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.
Who cites it
14 citing papers in PubMed, 28 citations in OpenAlex.
- Cardiological aspects of Fabry disease: from diagnosis to therapeutic efficacy assessment.Orphanet journal of rare diseases · 2026Review
- Hypertrophic Cardiomyopathy with Special Focus on Mavacamten and Its Future in Cardiology.Biomedicines · 2024Review
- Advances in Multi-Modality Imaging in Hypertrophic Cardiomyopathy.Journal of clinical medicine · 2024Review
- Cardiomyopathy: A New Perspective from Diagnostic Strategy.Journal of clinical medicine · 2023Article
- Cardiac Multimodality Imaging in Hypertrophic Cardiomyopathy: What to Look for and When to Image.Current cardiology reviews · 2023Review
- Cardiovascular Involvement in Fabry's Disease: New Advances in Diagnostic Strategies, Outcome Prediction and Management.Cardiac failure review · 2023Review
- The Changing Complementary Role of Multimodality Imaging in Clinical Cardiology.Journal of clinical medicine · 2022Article
- Alginate-Derivative Encapsulated Carbon Coated Manganese-Ferrite Nanodots for Multimodal Medical Imaging.Pharmaceutics · 2022Article
- An Overview of Molecular Mechanisms in Fabry Disease.Biomolecules · 2022Review
- Papillary and Trabecular Muscles Have Substantial Impact on Quantification of Left Ventricle in Patients with Hypertrophic Obstructive Cardiomyopathy.Diagnostics (Basel, Switzerland) · 2022Article
- Special Issue "Multimodality Imaging in Cardiomyopathies".Journal of clinical medicine · 2022Article
- 3.0T cardiac magnetic resonance quantification of native T1 and myocardial extracellular volume for the diagnosis of late gadolinium enhancement-negative cardiac amyloidosis.Annals of translational medicine · 2022Article
- Thoracic Aortic Dilation: Implications for Physical Activity and Sport Participation.Diagnostics (Basel, Switzerland) · 2022Review
- Usefulness of Longitudinal Strain Adjusted to Regional Thickness in Hypertrophic Cardiomyopathy.Journal of clinical medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multimodality imaging is a comprehensive strategy to investigate left ventricular hypertrophy (LVH), providing morphologic, functional, and often clinical information to clinicians. Hypertrophic cardiomyopathy (HCM) is defined by an increased LV wall thickness not only explainable by abnormal loading conditions. In the context of HCM, multimodality imaging, by different imaging techniques, such as echocardiography, cardiac magnetic resonance, cardiac computer tomography, and cardiac nuclear imaging, provides essential information for diagnosis, sudden cardiac death stratification, and management. Furthermore, it is essential to uncover the specific cause of HCM, such as Fabry disease and cardiac amyloidosis, which can benefit of specific treatments. This review aims to elucidate the current role of multimodality imaging in adult patients with HCM.
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What OpenQuestion holds
Registered trials
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.