Linked Life Data

10883564

Source:http://linkedlifedata.com/resource/pubmed/id/10883564

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2000-8-1
pubmed:abstractText
A growing literature has documented group differences between boys with and without attention deficit-hyperactivity disorder (ADHD) on neuropsychological tests; however, whether or not such tests can discriminate individuals with ADHD from non-ADHD controls remains unclear. This study used conditional probability and receiver operating characteristic analyses to examine the efficiency of test-based diagnostic discriminations in a large sample of referred boys with and without ADHD. Single neuropsychological tests had limited discriminating ability at various cutoff scores. When multiple tests were used together, prediction of ADHD status improved but overall diagnostic efficiency remained limited. Diagnostic efficiency did not differ when medicated and nonmedicated index children were considered separately. Results suggest that children with ADHD show variable deficits on neuropsychological tests of attention and executive functions. Impairments on multiple neuropsychological tests are predictive of ADHD, but normal scores do not rule out the diagnosis. The prognostic implications of variable neuropsychological deficits in children with ADHD require further investigation.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0022-006X
pubmed:author
pubmed:issnType
Print
pubmed:volume
68
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
477-88
pubmed:dateRevised
2009-11-11
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Diagnostic efficiency of neuropsychological test scores for discriminating boys with and without attention deficit-hyperactivity disorder.
pubmed:affiliation
Department of Psychiatry, Harvard Medical School at Massachusetts General Hospital, Boston 02114, USA. doylea@helix.mgh.harvard.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.