Linked Life Data

3576118

Source:http://linkedlifedata.com/resource/pubmed/id/3576118

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1987-6-10
pubmed:abstractText
The performance of three different highly sensitive immuno-assays for thyrotropin in serum (S-TSH) was compared. Specimens from 803 patients with suspected hyperthroidism or other thyroid disease were used. Hyperthyroid patients were identified and characterized by determining serum thyroid hormones and by clinical observation. The performance of the methods in discriminating between hyperthyroidism and euthyroidism was described in terms of diagnostic sensitivity and specificity. The performance was also assessed by systematically varying the reference values. If patients with treated hyperthroidism were eliminated, the three S-TSH assays performed equally well at a suggested lower reference value of 0.4 mU/l. A diagnostic efficiency of more than 0.95 was achieved at the observed prevalence of disease (0.12). A graphical model which allows an adjustment of reference values to favour sensitivity or specificity is presented. Reference values were also calculated from the euthyroid subjects using parametric and non-parametric approaches. The specificity, when using the recommended discrimination level, suggests that patients with low S-TSH values should be subjected to further investigation by biochemical or other methods.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0036-5513
pubmed:author
pubmed:issnType
Print
pubmed:volume
47
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
157-64
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
1987
pubmed:articleTitle
Highly sensitive assays of serum-thyrotropin in the diagnosis of hyperthyroidism: assessment of performance and reference values.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't