Linked Life Data

18457749

Source:http://linkedlifedata.com/resource/pubmed/id/18457749

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-5-6
pubmed:abstractText
We developed search strategies for detecting sound articles on causation and prognosis in Cumulative Index to Nursing and Allied Health Literature (CINAHL) in the year 2000. An analytic survey was conducted, comparing hand searches of 75 journals with retrievals from CINAHL for 5,020 search terms and 11,784 combinations for causation and 9,946 combinations for prognosis. For detecting sound causation studies, a three-term strategy maximized sensitivity at 97.0% with a specificity of 52.3%. For detecting sound prognosis studies, a three-term strategy maximized sensitivity at 92.2% with a specificity of 50.0%. These search filters will enhance the searching efforts of clinicians and researchers.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1532-8201
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
21
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
98-103
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Cumulative Index to Nursing and Allied Health Literature search strategies for identifying methodologically sound causation and prognosis studies.
pubmed:affiliation
Health Information Research Unit, Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada. walkerc@mcmaster.ca
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural