Linked Life Data

18773779

Source:http://linkedlifedata.com/resource/pubmed/id/18773779

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2008-9-8
pubmed:abstractText
The medical literature abounds with risk scores that can help clinicians predict the probability of disease. Risk scores are popular and attractive because they synthesize the effects of several different risk factors for disease in a way that is otherwise too complex for the human mind alone to analyze. However, to optimize clinical decision making, users of risk scores need to consider the factors and methods used to create the score and to recognize the potential limitations of risk scores. Clinicians should consider the patient populations in which the risk score has been developed and validated, the risk factors included in the score, how computing the score might fit into the flow of daily practice, and how risk scores can help estimate pretest probability. An awareness of the uses and potential limitations of using risk assessment tools will aid the clinician in daily clinical decision making. These tools may grow in importance and use with increasing utilization of electronic health records.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0742-3225
pubmed:author
pubmed:issnType
Print
pubmed:volume
40
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
412-6
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Evaluating multivariate risk scores for clinical decision making.
pubmed:affiliation
Department of Family and Community Medicine, University of Missouri-Columbia, Columbia, MO 65212, USA. koopmanr@health.missouri.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.