R
Robert J. Goldberg
Researcher at University of Massachusetts Medical School
Publications - 712
Citations - 52904
Robert J. Goldberg is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Myocardial infarction & Population. The author has an hindex of 109, co-authored 666 publications receiving 49143 citations. Previous affiliations of Robert J. Goldberg include University of Cape Town & Baylor College of Medicine.
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Journal ArticleDOI
A population-based perspective of the hospital incidence and case-fatality rates of deep vein thrombosis and pulmonary embolism. The Worcester DVT Study
Frederick A. Anderson,H. Brownell Wheeler,Robert J. Goldberg,David W. Hosmer,Nilima A. Patwardhan,Borko Jovanovic,Ann Forcier,James E. Dalen +7 more
TL;DR: Extrapolation of the data from this population-based study suggests that there are approximately 170,000 new cases of clinically recognized venous thromboembolism in patients treated in short-stay hospitals in the United States each year, and 99,000 hospitalizations for recurrent disease.
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Predictors of hospital mortality in the global registry of acute coronary events.
Christopher B. Granger,Robert J. Goldberg,Omar H. Dabbous,Karen S. Pieper,Kim A. Eagle,Christopher P. Cannon,Frans Van de Werf,Alvaro Avezum,Shaun G. Goodman,Marcus Flather,Keith A.A. Fox +10 more
TL;DR: Across the entire spectrum of ACS and in general clinical practice, this model provides excellent ability to assess the risk for death and can be used as a simple nomogram to estimate risk in individual patients.
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A validated prediction model for all forms of acute coronary syndrome:estimating the risk of 6-month postdischarge death in an international registry
Kim A. Eagle,Michael J. Lim,Omar H. Dabbous,Karen S. Pieper,Robert J. Goldberg,Frans Van de Werf,Shaun G. Goodman,Christopher B. Granger,P. Gabriel Steg,Joel M. Gore,Andrzej Budaj,Alvaro Avezum,Marcus Flather,Keith A.A. Fox,Grace Investigators +14 more
TL;DR: The GRACE 6-month postdischarge prediction model is a simple, robust tool for predicting mortality in patients with ACS and Clinicians may find it simple to use and applicable to clinical practice.
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Triggering of acute myocardial infarction by heavy physical exertion. Protection against triggering by regular exertion. Determinants of Myocardial Infarction Onset Study Investigators
Murray A. Mittleman,Malcolm Maclure,Geoffrey H. Tofler,Jane B. Sherwood,Robert J. Goldberg,James E. Muller +5 more
TL;DR: Improved understanding of the mechanisms by which heavy physical exertion triggers the onset of myocardial infarction and the manner in which regular exertion protects against it would facilitate the design of new preventive approaches.
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Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study (GRACE)
Keith A.A. Fox,Omar H. Dabbous,Robert J. Goldberg,Karen S. Pieper,Kim A. Eagle,Frans Van de Werf,Alvaro Avezum,Shaun G. Goodman,Marcus Flather,Frederick A. Anderson,Christopher B. Granger +10 more
TL;DR: This risk prediction tool uses readily identifiable variables to provide robust prediction of the cumulative six month risk of death or myocardial infarction and can guide patient triage and management across the spectrum of patients with acute coronary syndrome.