ReviewMayo Clinic proceedings. Digital health2025
Topological Data Analysis in the Assessment of Coronary Atherosclerosis: A Comprehensive Narrative Review.
Review in Mayo Clinic proceedings. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Quantifying the Unknowns of Plaque Morphology: The Role of Topological Uncertainty in Coronary Artery Disease.Mayo Clinic proceedings. Digital health · 2025Article
- Age-dependent patterns of cardiac complexity unveiled by topological data analysis of pediatric heart rate variability.PloS one · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plaque build-up in the coronary arteries can restrict blood flow or become unstable and contribute to cardiovascular events. Evaluating these plaques is essential for cardiovascular risk stratification and determining the most appropriate treatment strategies. This review aimed to investigate the potential of topological data analysis (TDA), a novel technique, in assessing coronary atherosclerosis. We perform a narrative review of the emerging TDA field, discussing its basic principles and advantages over traditional methods, which often struggle to capture the intricate patterns and relationships within coronary plaques. Topological data analysis can evaluate coronary atherosclerosis in novel ways using variations in the cover and filtration functions of the algorithm, highlighting new ways to characterize calcified and noncalcified plaques. It also highlights the potential of TDA in enhancing the understanding and management of this complex disease. Despite the challenges and future directions, which need to be addressed, TDA shows potential as a valuable tool in assessing coronary atherosclerosis, specifically in noncalcified plaque detection, possibly surpassing traditional techniques in capturing the disease's intricate patterns. A Pubmed, Google Scholar, Scopus - based literature review was undertaken using the following search terms:
Identifiers
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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.