Linked Life Data

11094313

Source:http://linkedlifedata.com/resource/pubmed/id/11094313

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
18
pubmed:dateCreated
2001-10-4
pubmed:abstractText
An increasing proportion of the 2 million Turkish residents in Germany is reaching the age in which cancer becomes a common health problem. However, data on cancer incidence and survival among Turkish residents are lacking due to incomplete reporting of nationality in German cancer registries. In the population-based cancer registry of the Saarland, retrieval by reported nationality yielded only 38% (95% confidence interval (CI): 31-45%) of the estimated number of Turkish cases in the registry; furthermore, nationality information was found to be inaccurate, and completeness dependent on the vital status of cases. A newly developed algorithm based on family names retrieved 85% (95% CI: 79-90%) of Turkish cases. Combining the two sources in a capture-recapture approach yielded 91% (95% CI: 86-94%) of the estimated total number of Turkish cases. Hence, the name-based algorithm provides a new and attractive tool for valid registry-based cancer research among Turks in Germany.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0959-8049
pubmed:author
pubmed:issnType
Print
pubmed:volume
36
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2380-4
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Combining a name algorithm with a capture-recapture method to retrieve cases of Turkish descent from a German population-based cancer registry.
pubmed:affiliation
Department of Tropical Hygiene and Public Health, Heidelberg University, Germany. oliver.razum@urz.uni-heidelberg.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't