ReviewInternational journal of cardiology. Heart & vasculature2025
Emerging imaging and circulating biomarkers in relation to underlying mechanisms in Bicuspid Aortic Valve aortopathy.
Review in International journal of cardiology. Heart & vasculature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- Prediction of Ascending Aortic Dilation and Analysis of Influencing Factors in Bicuspid Aortic Valve Patients Using an Explainable Machine Learning Model.Cardiology research and practice · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bicuspid Aortic Valve (BAV) is the most prevalent congenital heart defect with an autosomal dominant inheritance. With up to 2% of the general population affected by the condition, mortality remains high likely due to the development of aortopathy which pre-disposes to the development of aortic dissection. Current guidelines focus on surgical management, once a threshold of aorta diameter is surpassed, via routine image surveillance. However, it is recognised that some will develop aortic dissection without meeting these requirements for surgical intervention. Recent literature has begun to address the need for potential biomarkers specific to aortopathy in the BAV population to aid in risk stratification. Four-dimensional cardiovascular magnetic resonance flow imaging has paved the way to the development of imaging measurements such as wall shear stress and reverse flow which aid in the assessment of aberrant blood flow contributing to aortopathy in the BAV group. Differing levels of plasma biomarkers such as matrix metalloproteinases and microRNA have also been associated with aortopathy development furthering insight into the cellular mechanisms involved in aortic vascular matrix remodelling. This article will provide an overview of the recent research into prospective 4-D imaging and circulating biomarkers that have been studied and potential areas of future work.
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Registered trials
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