ArticleHealth science reports2025
Stomatognathic Diseases Reveal Bidirectional Link Between Diabetes Mellitus and Coronary Artery Calcium: A Cross-Sectional Study Using Multi-Way Array Analysis.
Article in Health science reports, 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.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
1 author.
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Abstract
Background and Aims: Understanding the relationship between diabetes mellitus and cardiovascular risk is crucial for effective healthcare. Diabetes mellitus (DM), a complex metabolic disorder, is closely linked to an increased risk of cardiovascular diseases. Factors such as endothelial dysfunction, inflammation, and metabolic disturbances contribute to this heightened risk. Gaining insights into this relationship can help healthcare professionals provide timely and personalized care. This study explores the bidirectional relationship between DM and coronary artery calcification (CAC), mediated by stomatognathic diseases, using advanced data science techniques. Methods: This study uses a publicly available data set of 212 patients from Dutch hospitals to explore the connections among patient characteristics, stomatognathic diseases, and CAC score. Tensor decomposition techniques were employed to investigate the relationship between DM and CAC. Patient characteristics and dental conditions were integrated into tensor models for three groups: without DM, with DM, and with CAC. Additionally, nonlinear dynamics, visual analyses, and machine learning enriched the investigation. Results: Tensor decomposition revealed patterns across the three categories, incorporating patient characteristics and dental conditions. The Conclusion: The reciprocal interaction between DM and CAC tertiles 2 and 3 emphasizes the need for a broader analytical perspective. Incorporating patient characteristics and dental health in the analysis uncovers latent patterns, providing insights. Oral conditions emerge as key indicators, offering a detailed view of the complex relationship between DM and CAC.
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