Linked Life Data

10742647

Source:http://linkedlifedata.com/resource/pubmed/id/10742647

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2000-5-23
pubmed:abstractText
Prodromal symptoms and other variables for a sample of 200 young people who had experienced a first-onset functional psychosis, were analyzed to examine their diagnostic efficiency and predictive power in relation to a diagnosis of schizophrenia. Two different techniques were utilized to generate optimal cut-off points for a number of prodromal symptoms, and optimal decision rules to maximize diagnostic efficiency. The product of the chance-corrected sensitivity and specificity, or the area under the QROC curve, was used to assess the predictive efficiency of a number of prodromal variables, DSM-III-R prodromal variables, pre-psychotic deterioration, pre-morbid functioning, and prodromal duration. The SPAN technique generated a decision rule that performed equivalently to the single variable 'duration of prodrome'. Implications of these results for future research are discussed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0920-9964
pubmed:author
pubmed:issnType
Print
pubmed:day
7
pubmed:volume
42
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
91-100
pubmed:dateRevised
2010-9-2
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Can we improve the diagnostic efficiency and predictive power of prodromal symptoms for schizophrenia?
pubmed:affiliation
Department of Psychiatry, University of Melbourne, Youth Program, Mental Health Services for Kids and Youth, Locked Bag 10, Parkville, Australia. mcgorry@ariel.unimelb.edu.au
pubmed:publicationType
Journal Article