Linked Life Data

17026515

Source:http://linkedlifedata.com/resource/pubmed/id/17026515

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2006-10-31
pubmed:abstractText
A number of antiresorptive agents reduce the risk of vertebral fractures, but few have shown consistent effects on hip and other non-spine fractures. Meta-analysis provides a more precise estimate than individual trials when results are consistent across pooled trials. Earlier meta-analyses summarised the results for vertebral and non-spine fractures. New data have emerged for hormone therapy (HT), alendronate (ALN), risedronate (RIS) and ibandronate (IBN). We surveyed recent reports of randomised, placebo-controlled trials with non-spine and/or hip fracture data, and used meta-analysis where appropriate to test for heterogeneity and derive pooled estimates. The magnitude of effect on hip fracture appears to be similar to that for non-spine fracture for each drug, but differs among drugs. Based on the current data, ALN reduces the risk of hip and non-spine fracture by 49-55%, HT by 25-36% and RIS by 26-27%. There is insufficient and/or inconsistent evidence of an effect on these fractures for IBN, calcitonin and raloxifene.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1368-5031
pubmed:author
pubmed:issnType
Print
pubmed:volume
60
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1394-400
pubmed:dateRevised
2008-7-31
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Hip and non-spine fracture risk reductions differ among antiresorptive agents: Evidence from randomised controlled trials.
pubmed:affiliation
Felsenstein Medical Research Center, Department of Physiology & Pharmacology, Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel. uliberm@post.tau.ac.il
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't, Meta-Analysis