UMBRELLA protocol: systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure

UMBRELLA protocol: systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure

Abstract Background Heart failure (HF) is a chronic and common condition with a rising prevalence, especially in the elderly. Morbidity and mortality rates in people with HF are similar to those with common forms of cancer. Clinical guidelines highlight the need for more detailed prognostic informat...

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Bibliographic Details
Main Authors: Maria D. L. A. Vazquez-Montes, Thomas P. A. Debray, Kathryn S. Taylor, Benjamin Speich, Nicholas Jones, Gary S. Collins, F. D. R. Richard Hobbs, Emmanuella Magriplis, Hugo Maruri-Aguilar, Karel G. M. Moons, John Parissis, Rafael Perera, Nia Roberts, Clare J. Taylor, Nikolaos P. E. Kadoglou, Marialena Trivella, on behalf of the proBHF group
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Diagnostic and Prognostic Research
Subjects:
Acute heart failure
Decompensated heart failure
Chronic heart failure
Biomarkers
Prediction rule
Risk score
Online Access:http://link.springer.com/article/10.1186/s41512-020-00081-4

Internet

http://link.springer.com/article/10.1186/s41512-020-00081-4

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