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Ralph B. D'Agostino

Researcher at Wake Forest University

Publications -  1336
Citations -  250792

Ralph B. D'Agostino is an academic researcher from Wake Forest University. The author has contributed to research in topics: Framingham Heart Study & Framingham Risk Score. The author has an hindex of 226, co-authored 1287 publications receiving 229636 citations. Previous affiliations of Ralph B. D'Agostino include VA Boston Healthcare System & University of Illinois at Urbana–Champaign.

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A comparison of logistic regression to decision-tree induction in a medical domain

TL;DR: This paper compares the performance of logistic regression to decision-tree induction in classifying patients as having acute cardiac ischemia using the database of 5773 patients originally used to develop the logistic-regression tool and test it prospectively.
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Regulatory effects of ferritin on angiogenesis

TL;DR: Ferritin-mediated regulation of angiogenesis represents a new angiogenic regulatory pathway, and identifies a new role for ferritin in cell biology.
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Benefits and Adverse Effects of Weight Loss: Observations from the Framingham Study

TL;DR: This report defined cardiovascular disease as coronary heart disease, stroke, intermittent claudication, and congestive heart failure as well as other clinically diagnosed diseases including mitral or aortic valve disease, arthritis, urinary disease, neurologic disease, and other vascular disease.
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Association of Lonafarnib Treatment vs No Treatment With Mortality Rate in Patients With Hutchinson-Gilford Progeria Syndrome

TL;DR: Among patients with HGPS, lonafarnib monotherapy, compared with no treatment, was associated with a lower mortality rate after 2.2 years of follow-up, and the association of monotherapy using the protein farnesyltransferase inhibitor lonfarnib with mortality rate was evaluated.
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Insulin Sensitivity, Insulinemia, and Coronary Artery Disease The Insulin Resistance Atherosclerosis Study

TL;DR: In this paper, the authors evaluated whether low insulin sensitivity measured using a modified frequently sampled intravenous glucose tolerance test with minimal model analysis is associated with coronary artery disease (CAD) independent of other cardiovascular risk factors.