Linked Life Data

21493766

Source:http://linkedlifedata.com/resource/pubmed/id/21493766

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2011-5-16
pubmed:abstractText
Two recent publications from Helsinki and Toronto that investigated the natural history of brain AVMs are the background topic for reviewing some principles and pitfalls of prognostic studies. Multivariable prognostic research involves 3 steps: developing the prognostic model, validating its performance in other individuals, and assessing its clinical impact on patients' outcomes. Unfortunately, the predictive ability of the model can be poor when it is applied to a new population, and clinical impact studies are rarely performed. Models that have not been validated should not be used to inform clinical decisions. Unfortunately, for rare outcomes in rare diseases, clinical data are limited. Although the 2 studies on brain AVMs may represent the best data currently available, they still included few patients with events and there are several methodologic concerns undermining the reliability of results. The estimates of risk of rupture per year are uncertain. Multiplying those uncertain numbers by the life expectancy of individuals can inflate error beyond control. Hence relying on these estimates to make clinical decisions may be dangerous.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1936-959X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
32
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
809-12
pubmed:dateRevised
2011-11-10
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Assessing prognosis from nonrandomized studies: an example from brain arteriovenous malformations.
pubmed:affiliation
Interventional Neuroradiology Research Unit, Department of Radiology, International Consortium of Neuroendovascular Centres, University of Montreal, Centre Hospitalier de l'Université de Montreal, Notre-Dame Hospital, Quebec, Canada. jean.raymond@Umontreal.ca
pubmed:publicationType
Journal Article