Linked Life Data

11679910

Source:http://linkedlifedata.com/resource/pubmed/id/11679910

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2001-10-26
pubmed:abstractText
Latent-class analysis was used to evaluate the usefulness of markers of hepatitis C virus (HCV) infection in characterizing the true, underlying infection in a community-based Japanese population. Antibodies to HCV were detected in 24%, HCV RNA in 22%, and HCV core protein in 19% of stored serum samples from 372 adults. A 2-class model suggested that positive results for any 2 virus markers defined the current HCV infection class, with an estimated prevalence of 22% (95% confidence interval, 18%-26%). The sensitivity for detection of current HCV infection was highest for anti-HCV (97%) and was more moderate for HCV RNA (91%) and HCV core protein (85%). The specificity for each marker was > or =96%. In general, the association between demographic factors and current HCV infection status was strengthened by use of latent-class analysis that combined data for markers of HCV infection, when compared with results of logistic regression analysis for each marker separately.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0022-1899
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
184
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1229-35
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Assessment of markers of hepatitis C virus infection in a Japanese adult population.
pubmed:affiliation
Departments of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't