Linked Life Data

8927667

Source:http://linkedlifedata.com/resource/pubmed/id/8927667

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1996-11-27
pubmed:abstractText
We used receiver-operator characteristic (ROC) curve analysis to evaluate predictors of response to clomipramine in obsessive-compulsive disorder (OCD). Previously, we identified response predictors among 230 OCD patients who received clomipramine in a placebo-controlled, multicenter clinical trail. We found that at baseline a later age of OCD onset, low scores on the Hamilton Depression scale, and high scores on items 3 and 8 of the Yale-Brown Obsessive Compulsive Scale predicted good response. Certain early side effects also predicted outcome. We fitted a logistic regression model containing baseline information and then calculated each patient's estimated response probability by substituting individuals' values in the regression equation. Next we compared the estimated response risks with each patient's known outcome. Finally, we produced a ROC curve by plotting the true positive and false positive rates for various cutoff points of the risk scores. The same steps were followed for Weeks 1 through 4, adding information about early side effects and weekly response. We found that baseline information predicted outcome better than chance, and predictive ability increased with data on side effects and early response.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0048-5764
pubmed:author
pubmed:issnType
Print
pubmed:volume
32
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
157-65
pubmed:dateRevised
2009-11-11
pubmed:meshHeading
pubmed:year
1996
pubmed:articleTitle
Use of receiver-operator characteristic (ROC) curve analysis to evaluate predictors of response to clomipramine therapy.
pubmed:affiliation
Department of Epidemiology, UCLA School of Public Health 90290, USA.
pubmed:publicationType
Journal Article, Clinical Trial, Research Support, U.S. Gov't, P.H.S., Randomized Controlled Trial, Research Support, Non-U.S. Gov't