Xiantao Song

Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets

Fabrizio D’Ascenzo, Ovidio De Filippo, Guglielmo Gallone et al. · The Lancet · 2021 · 324 citations

Adverse Events, Health Informatics, Machine Learning +14

Global perspective of familial hypercholesterolaemia: a cross-sectional study from the EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC)

Antonio J. Vallejo‐Vaz, Christophe Stevens, Alexander R.M. Lyons et al. · The Lancet · 2021 · 285 citations · Full text

Family Medicine, Metabolic Syndrome, Lipid Disorder +10

Prevalence and outcome of patients with cancer and acute coronary syndrome undergoing percutaneous coronary intervention: a BleeMACS substudy

Mario Iannaccone, Fabrizio D’Ascenzo, Paolo Vadalà et al. · European Heart Journal Acute Cardiovascular Care · 2017 · 115 citations · Full text

Complete or incomplete coronary revascularisation in patients with myocardial infarction and multivessel disease: a propensity score analysis from the “real-life” BleeMACS (Bleeding complications in a Multicenter registry of patients discharged with diagnosis of Acute Coronary Syndrome) registry

Giorgio Quadri, Fabrizio D’Ascenzo, Claudio Moretti et al. · EuroIntervention · 2017 · 39 citations

Average daily ischemic versus bleeding risk in patients with ACS undergoing PCI: Insights from the BleeMACS and RENAMI registries

Fabrizio D’Ascenzo, Carloalberto Biolè, Sergio Raposeiras‐Roubín et al. · American Heart Journal · 2019 · 39 citations · Full text

Thrombosis, Percutaneous Coronary Intervention, Cardiovascular Disease +9