| Low-cost strategies to predict cardiovascular disease. | |
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MedLine Citation:
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PMID: 18628774 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In this commentary, we discuss the potential utility of low-cost screening algorithms for the prediction of risk for cardiovascular disease. Strategies such as these might enhance screening and prevention programs but require validation. Testing the usefulness of low-cost prediction models in developing regions is the next logical step in carrying this concept forward. |
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Authors:
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Peter W F Wilson; K M Venkat Narayan |
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Publication Detail:
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Type: Journal Article Date: 2008-07-15 |
Journal Detail:
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Title: Nature clinical practice. Cardiovascular medicine Volume: 5 ISSN: 1743-4300 ISO Abbreviation: - Publication Date: 2008 Sep |
Date Detail:
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Created Date: 2008-08-22 Completed Date: 2008-10-23 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101226507 Medline TA: Nat Clin Pract Cardiovasc Med Country: England |
Other Details:
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Languages: eng Pagination: 518-9 Citation Subset: IM |
Affiliation:
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Emory University, Atlanta, GA 30306, USA. peter.wf.wilson@emory.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Cardiovascular Diseases / diagnosis*, etiology, prevention & control Health Status Indicators Humans Mass Screening* / economics, methods Models, Biological Predictive Value of Tests Risk Assessment Risk Factors |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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