ReviewJournal of clinical medicine2025
Diagnostic Challenges in the Management of Aortic Valve Stenosis and the Role of Imaging: A Narrative Review.
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 4 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
4 citing papers in PubMed.
- Intelligent Decision Support for Transcatheter Aortic Valve Replacement: Machine Learning Spans From Anatomical Assessment to Dynamic Risk Modeling.Reviews in cardiovascular medicine · 2026Review
- Transcatheter management of cardiogenic shock in severe aortic stenosis.Frontiers in cardiovascular medicine · 2026Review
- Multidetector Computed Tomography and Aortic Stenosis: The Emerging Potential of Bridging Morphology and Severity Grading.Diagnostics (Basel, Switzerland) · 2025Article
- A Novel Method for ECG-Free Heart Sound Segmentation in Patients with Severe Aortic Valve Disease.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aortic valve stenosis (AS) is a prevalent and progressive valvular disease that poses significant diagnostic challenges, particularly in low-flow, low-gradient (LF-LG) states. Accurate assessment of AS severity is crucial for timely intervention and improved clinical outcomes. This narrative review critically evaluates the limitations of conventional echocardiographic techniques and explores the role of multimodal imaging-including advanced echocardiography, computed tomography (CT), and cardiac magnetic resonance (CMR)-in enhancing diagnostic accuracy. Special emphasis is placed on the unique challenges of LF-LG AS, where standard Doppler-derived assessments may misclassify disease severity, necessitating a more integrative diagnostic approach. By addressing these key diagnostic uncertainties and proposing a multimodal framework for improved assessment, this review provides a comprehensive update on best practices in AS evaluation, with the goal of optimizing clinical decision making and patient outcomes.
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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.