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Systematic reviews on the prognostic role of biomarkers in heart failure

Abstract:

Background Heart failure (HF) is a major public health problem with rising prevalence, especially in elderly. Survival rates for advanced HF patients are worse than those for breast or prostate cancer. Two decades of biomarker research highlighted the prognostic ability of certain markers, and informed the development of new or updated prognostic models. Despite numerous published models and NICE’s recognition of the need for prognosis information, no risk stratification models have been adeq...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1186/s41512-018-0036-3

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
ORCID:
0000-0002-0660-2171
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
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Publisher:
BioMed Central Publisher's website
Journal:
Methods for Evaluation of medical prediction Models, Tests And Biomarkers 2018 Conference Journal website
Volume:
2
Issue:
Suppl 1
Article number:
P62
Series:
Methods for Evaluation of medical prediction Models, Tests And Biomarkers, 2nd - 3rd July 2018, Hotel Mitland Utrecht, the Netherlands
Host title:
Diagnostic and Prognostic Research
Publication date:
2018-07-02
Acceptance date:
2018-05-07
Event location:
UMC Utrecht
Event start date:
2018-07-02T00:00:00Z
Event end date:
2018-07-03T00:00:00Z
DOI:
ISSN:
2397-7523
Source identifiers:
852990
Pubs id:
pubs:852990
UUID:
uuid:d57966ad-d5c6-4c85-a3cd-b69f17bc21a3
Local pid:
pubs:852990
Deposit date:
2018-05-21

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