- 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...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Publisher:
- BMC Publisher's website
- Volume:
- 2
- Issue:
- Suppl 1
- Pages:
- Article: P62
- Series:
- Methods for Evaluation of medical prediction Models, Tests And Biomarkers, 2nd - 3rd July 2018, Hotel Mitland Utrecht, the Netherlands
- Publication date:
- 2018-07-02
- Acceptance date:
- 2018-05-07
- DOI:
- ISSN:
-
2397-7523
- Pubs id:
-
pubs:852990
- URN:
-
uri:d57966ad-d5c6-4c85-a3cd-b69f17bc21a3
- UUID:
-
uuid:d57966ad-d5c6-4c85-a3cd-b69f17bc21a3
- Local pid:
- pubs:852990
- Copyright holder:
- © Vazquez-Montes, et al 2018
- Copyright date:
- 2018
- Notes:
- This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated
Conference item
Systematic reviews on the prognostic role of biomarkers in heart failure
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