Predictors of mortality and morbidity in patients with chronic heart failure.
By Stuart J. Pocock, Duolao Wang, M. Pfeffer, S. Yusuf, J. McMurray, K. Swedberg, J. Ostergren, E. Michelson, K. Pieper, C. Granger. European Heart Journal, 2006
991 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism
View Paper: https://www.semanticscholar.org/paper/6e9801d2611dbab2f6f74887cb863a66014d04fd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cardiology and Cardiovascular Medicine
In Endocrinology, Diabetes and Metabolism
Citations in the corpus
- Red cell distribution width as a novel prognostic marker in heart failure: data from the CHARM Program and the Duke Databank. (2007, methodology): “To date, a wide variety of clinical variables nd biological markers have been used to create predictive odels for survival in patients with chronic heart ailure (1,2).”
- Influence of Nonfatal Hospitalization for Heart Failure on Subsequent Mortality in Patients With Chronic Heart Failure (2007, neutral): “Diabetic, insulin dependent, n (%) 172 (6) 109 (12) 73 (12) 72 (16) 147 (7) 38 (12) 65 (23) 25 (19)”
- 2013 ACCF/AHA guideline for the management of heart failure: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines. (2013, background): “Coronary and Other Atherosclerotic Vascular Disease: 2011 Update AHA/ACCF 2011 (13)”
- 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. (2013, background): “3), as well as a variety of multivariable clinical risk scores ( Table 7); these risk scores are for use in ambulatory (199,203,205,206,208) and hospitalized patients (200,202,204,205,209).”