17925316

Source:http://linkedlifedata.com/resource/pubmed/id/17925316

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0008976, umls-concept:C0034656, umls-concept:C0220825, umls-concept:C1882071
pubmed:issue	3
pubmed:dateCreated	2008-6-2
pubmed:abstractText	Randomized trials may be designed and interpreted as single experiments or they may be seen in the context of other similar or relevant evidence. The amount and complexity of available randomized evidence vary for different topics. Systematic reviews may be useful in identifying gaps in the existing randomized evidence, pointing to discrepancies between trials, and planning future trials. A new, promising, but also very much debated extension of systematic reviews, mixed treatment comparison (MTC) meta-analysis, has become increasingly popular recently. MTC meta-analysis may have value in interpreting the available randomized evidence from networks of trials and can rank many different treatments, going beyond focusing on simple pairwise-comparisons. Nevertheless, the evaluation of networks also presents special challenges and caveats. In this article, we review the statistical methodology for MTC meta-analysis. We discuss the concept of inconsistency and methods that have been proposed to evaluate it as well as the methodological gaps that remain. We introduce the concepts of network geometry and asymmetry, and propose metrics for the evaluation of the asymmetry. Finally, we discuss the implications of inconsistency, network geometry and asymmetry in informing the planning of future trials.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9212457
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jun
pubmed:issn	0962-2802
pubmed:author	pubmed-author:AdesA EAE, pubmed-author:HigginsJulian P TJP, pubmed-author:IoannidisJohn P AJP, pubmed-author:SalantiGeorgiaG
pubmed:issnType	Print
pubmed:volume	17
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	279-301
pubmed:meshHeading	pubmed-meshheading:17925316-Humans, pubmed-meshheading:17925316-Meta-Analysis as Topic, pubmed-meshheading:17925316-Models, Statistical, pubmed-meshheading:17925316-Randomized Controlled Trials as Topic, pubmed-meshheading:17925316-Research Design
pubmed:year	2008
pubmed:articleTitle	Evaluation of networks of randomized trials.
pubmed:affiliation	Clinical and Molecular Epidemiology Unit and Clinical Trials and Evidence-Based Medicine Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Greece.
pubmed:publicationType	Journal Article, Comparative Study, Review