11042294

Source:http://linkedlifedata.com/resource/pubmed/id/11042294

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0039593, umls-concept:C0205064, umls-concept:C0420020, umls-concept:C0542559, umls-concept:C0871311, umls-concept:C1521840, umls-concept:C1521970
pubmed:issue	5 Pt 1
pubmed:dateCreated	2000-11-29
pubmed:abstractText	To determine the potential effects on costs and outcomes of changes in sensitivity and specificity with new screening methods for cervical cancer.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0401101
pubmed:citationSubset	AIM
pubmed:status	MEDLINE
pubmed:month	Nov
pubmed:issn	0029-7844
pubmed:author	pubmed-author:DattaSS, pubmed-author:MatcharD BDB, pubmed-author:McCallNN, pubmed-author:MyersE RER, pubmed-author:NandaKK, pubmed-author:SubramanianSS, pubmed-author:TwiddyD ADA
pubmed:issnType	Print
pubmed:volume	96
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	645-52
pubmed:dateRevised	2009-10-26
pubmed:meshHeading	pubmed-meshheading:11042294-Adolescent, pubmed-meshheading:11042294-Adult, pubmed-meshheading:11042294-Aged, pubmed-meshheading:11042294-Aged, 80 and over, pubmed-meshheading:11042294-Cost-Benefit Analysis, pubmed-meshheading:11042294-Female, pubmed-meshheading:11042294-Humans, pubmed-meshheading:11042294-Markov Chains, pubmed-meshheading:11042294-Mass Screening, pubmed-meshheading:11042294-Middle Aged, pubmed-meshheading:11042294-Sensitivity and Specificity, pubmed-meshheading:11042294-United States, pubmed-meshheading:11042294-Uterine Cervical Neoplasms, pubmed-meshheading:11042294-Vaginal Smears
pubmed:year	2000
pubmed:articleTitle	Setting the target for a better cervical screening test: characteristics of a cost-effective test for cervical neoplasia screening.
pubmed:affiliation	Department of Obstetrics and Gynecology, Center for Clinical Health Policy Research-Evidence-Based Practice Center, Durham, North Carolina, USA. myers008@mc.duke.edu
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't, Meta-Analysis