Linked Life Data

16951907

Source:http://linkedlifedata.com/resource/pubmed/id/16951907

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2006-12-1
pubmed:abstractText
Previous studies have been unable to identify risk factors for prevalent vertebral fractures (VF), which are suitable for use in selection strategies intended to target high-risk sub-groups for diagnostic assessment. However, these studies generally consisted of large epidemiology surveys based on questionnaires and were only able to evaluate a limited number of risk factors. Here, we investigated whether a stronger relationship exists with prevalent VF when conventional risk factors are combined with additional information obtained from detailed one-to-one assessment.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0937-941X
pubmed:author
pubmed:issnType
Print
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
35-43
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Use of clinical risk factors to identify postmenopausal women with vertebral fractures.
pubmed:affiliation
Department of Clinical Science at South Bristol, University of Bristol, Bristol, BS2 8HW, UK. Jon.Tobias@bristol.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Multicenter Study