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期刊名:Giornale italiano di cardiologia

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ISSN:1827-6806

e-ISSN:1972-6481

IF/分区:0.7/N/A

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共收录本刊相关文章索引1238
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Alberto Aimo,Giuseppe Vergaro,Vincenzo Castiglione et al. Alberto Aimo et al.
Light chain (AL) amyloidosis is a rare systemic disease caused by monoclonal immunoglobulin light chains with abnormal folding that aggregate into fibrils, which deposit in extracellular tissues. This process leads to cytotoxicity and organ...
Federico Nardi,Giuseppe Patti,Giorgio Quadri et al. Federico Nardi et al.
Background: Although international guidelines recommend increasingly lower thresholds for low-density lipoprotein cholesterol (LDL-C), everyday clinical experience shows that many patients fail to reach these targets, exp...
Pietro Scicchitano,Claudio Bilato Pietro Scicchitano
Despite the widespread use of lipid-lowering therapies, a significant proportion of patients with atherosclerotic cardiovascular disease fail to achieve the recommended LDL-cholesterol targets, thus remaining at high residual risk. Inhibiti...
Alberto Sarti,Serena Caglioni,Antonio Maria Leone et al. Alberto Sarti et al.
Angina in non-obstructive coronary artery disease (ANOCA) is a common clinical condition affecting 20-50% of patients undergoing coronary angiography for suspected angina. Despite recent 2024 European guidelines on chronic coronary syndrome...
Donatella Del Sindaco,Giovanni Pulignano,Nadia Ingianni et al. Donatella Del Sindaco et al.
Cardiac amyloidosis is considered a rare disease but is increasingly frequent in elderly patients. In these patients, heterogeneous and peculiar clinical manifestations require specific approaches and dedicated diagnostic-therapeutic pathwa...
Francesco Buia,Luca Bergamaschi,Paola Franceschi et al. Francesco Buia et al.
Artificial intelligence (AI) is rapidly transforming the field of aortic imaging, enhancing diagnostic accuracy, risk stratification, and treatment planning. This review provides a comprehensive overview of AI applications in measuring aort...