R
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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Journal ArticleDOI
Remnant Lipoprotein Cholesterol and Incident Coronary Heart Disease: The Jackson Heart and Framingham Offspring Cohort Studies
Parag H. Joshi,Parag H. Joshi,Arif A Khokhar,Joseph M. Massaro,Seth T. Lirette,Michael Griswold,Seth S. Martin,Michael J. Blaha,Krishnaji R. Kulkarni,Adolfo Correa,Ralph B. D'Agostino,Steven R. Jones,Peter P. Toth +12 more
TL;DR: RLP‐C levels are predictive of incident CHD in this diverse group of primary prevention subjects and interventions aimed at reducing RLP‐C to prevent CHD warrant further intensive investigation.
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The Many Faces of Diabetes in American Youth: Type 1 and Type 2 Diabetes in Five Race and Ethnic Populations: The SEARCH for Diabetes in Youth Study
Elizabeth J. Mayer-Davis,Ronny A. Bell,Dana Dabelea,Ralph B. D'Agostino,Giuseppina Imperatore,Jean M. Lawrence,Lenna L. Liu,Santica M. Marcovina +7 more
TL;DR: Key aims of the study with a focus on race and ethnicity are the following: as previously published by the SEARCH study, both type 1 and type 2 diabetes occur in each of the five major race/ethnic …
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Discriminating clinical features of heart failure with preserved vs. reduced ejection fraction in the community.
Jennifer E. Ho,Philimon Gona,Michael J. Pencina,Jack V. Tu,Peter C. Austin,Ramachandran S. Vasan,William B. Kannel,Ralph B. D'Agostino,Douglas S. Lee,Daniel Levy +9 more
TL;DR: Multiple clinical characteristics at the time of initial HF presentation differed in participants with HFPEF vs. HFREF, and while CHD was clearly associated with a lower EF, overlapping characteristics were observed in the middle of the left ventricular EF range spectrum.
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External validity of predictive models: a comparison of logistic regression, classification trees, and neural networks.
TL;DR: A simulation study that compared the external validity of standard logistic regression with piecewise-linear and quadratic terms (LR2), classification trees, and neural networks (NNETs) highlights the necessity of external validation to test the transportability of predictive models.
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Risk score to predict serious bleeding in stable outpatients with or at risk of atherothrombosis.
Gregory Ducrocq,Joshua Wallace,Joshua Wallace,Gabriel Baron,Gabriel Baron,Philippe Ravaud,Philippe Ravaud,Mark J. Alberts,Peter W.F. Wilson,Erik Magnus Ohman,Danielle M. Brennan,Ralph B. D'Agostino,Deepak L. Bhatt,Philippe Gabriel Steg +13 more
TL;DR: Bleeding risk increased substantially with a score >10, and this score can assist clinicians in predicting the risk of serious bleeding and making decisions on antithrombotic therapy in outpatients.