Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2010-11-29
pubmed:abstractText
A history of fractures is a well recognised risk factor for a new clinical fracture. However, this subsequent fracture risk is not constant, but fluctuates over time, with the greatest increase in the years immediately after the initial fracture, followed by a gradual waning of risk toward the population risk. The clustering of fractures occurred regardless of age, gender and initial fracture location. It is therefore likely that fracture risk models, which take into account this fluctuation of fracture risk over time, will be more relevant in predicting an individual's subsequent fracture risk. Regardless of the cause of this clustering, these studies all strongly support the need for early action after an initial fracture to reduce the preventable risk of subsequent fractures with medical interventions that have been shown to immediately decrease the risk of fractures.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1873-4111
pubmed:author
pubmed:copyrightInfo
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.
pubmed:issnType
Electronic
pubmed:volume
67
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
339-42
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Clinical fractures cluster in time after initial fracture.
pubmed:affiliation
Maastricht University/Caphri, Department of General Practice, Maastricht, The Netherlands. T.Laurs-vanGeel@maastrichtuniversity.nl
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't