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ESC Heart Failure|September 17, 2025
Cardiometabolic outcomes with dapagliflozin after myocardial infarction by baseline ejection fraction: DAPA-MIDavid Erlinge, Stefan James, John Deanfield, et al.Circulation. Genomic and Precision Medicine|March 2, 2021
Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease PredictionFernando Riveros-Mckay, Michael E Weale, Rachel Moore, et al.NEJM Evidence|February 6, 2024
Dapagliflozin in Myocardial Infarction without Diabetes or Heart FailureStefan James, David Erlinge, Robert F Storey, et al.Lancet (London, England)|September 2, 2018
Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome dataEvangelos K Oikonomou, Mohamed Marwan, Milind Y Desai, et al.Circulation. Cardiovascular Genetics|January 1, 2013
Causal relevance of blood lipid fractions in the development of carotid atherosclerosis: Mendelian randomization analysisSonia Shah, Juan-Pablo Casas, Fotios Drenos, et al.Lancet (London, England)|October 25, 2025
Semaglutide and cardiovascular outcomes by baseline and changes in adiposity measurements: a prespecified analysis of the SELECT trialJohn Deanfield, A Michael Lincoff, Steven E Kahn, et al.American Journal of Physiology. Renal Physiology|October 14, 2016
The relationship between urinary renin-angiotensin system markers, renal function, and blood pressure in adolescents with type 1 diabetesKevin D Burns, Yuliya Lytvyn, Farid H Mahmud, et al.Nature Medicine|May 13, 2024
Long-term weight loss effects of semaglutide in obesity without diabetes in the SELECT trialDonna H Ryan, Ildiko Lingvay, John Deanfield, et al.Diabetologia|February 19, 2022
Urinary albumin/creatinine ratio tertiles predict risk of diabetic retinopathy progression: a natural history study from the Adolescent Cardio-Renal Intervention Trial (AdDIT) observational cohortPaul Z Benitez-Aguirre, M Loredana Marcovecchio, Scott T Chiesa, et al.JACC. Cardiovascular Imaging|March 7, 2023
Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk PredictionHenry W West, Muhammad Siddique, Michelle C Williams, et al.Pageof 19