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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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Journal ArticleDOI

In vitro zones of inhibition of coated vascular catheters predict efficacy in preventing catheter infection with Staphylococcus aureus in vivo.

TL;DR: In vitro zones of inhibition may serve as a useful screening test for evaluating new anti-infective coatings in preventing both Staphylococcus aureus catheter colonization and bloodstream infection in humans.
Book ChapterDOI

Risk Factor Interaction in Cardiovascular and Cerebrovascular Disease

TL;DR: These manifestations of atherosclerosis have been related to a number of host and environmental factors delineated over the past 4 decades chiefly through prospective epidemiologic study and assessment of these differences may disclose important clues to pathogenesis and thereby provide strategies for prevention.
Journal ArticleDOI

Emergency Medical Service Predictive Instrument–Aided Diagnosis and Treatment of Acute Coronary Syndromes and ST-segment Elevation Myocardial Infarction in the IMMEDIATE Trial

TL;DR: In a wide range of EMS systems, use of electrocardiographs with ACI-TIPI and TPI decision support using a 75% ACI/TPI cutoff improves paramedic diagnostic performance for ACS, AMI, and STEMI and increases the proportions of patients who receive PCI.
Journal ArticleDOI

New developments in medical clinical trials.

TL;DR: This paper reviews several new developments and long-standing good practices for conducting clinical trials, including the current trend of the replacement of placebo-controlled trials by active controlled non-inferiority trials, the increasing use of Independent Data Monitoring Committees, the prominence of analysis on Intention-to-Treat samples, and the importance of imputation of missing data.