Linked Life Data

14669483

Source:http://linkedlifedata.com/resource/pubmed/id/14669483

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2003-12-12
pubmed:abstractText
This paper presents a method, which, on the basis of the caries experience, predicts the caries increment up to the age of 15 years. This method provides the best caries prediction so far available. By applying the principles of medical decision-making cut-off points of risk can be assessed, whereby children can be selected as at risk or not at risk. The method is applicable in child populations with different caries incidences and meets the requirements of accuracy. With the user-friendly method, more than 80% of the children at risk can be identified and selected.
pubmed:language
dut
pubmed:journal
pubmed:citationSubset
D
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0028-2200
pubmed:author
pubmed:issnType
Print
pubmed:volume
110
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
439-43
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
[Identification of cries risk patients 2. A new method for the selection of caries active children].
pubmed:affiliation
WHO Collaborating Centre for Oral Health Care Planning and Future Scenarios, Universitair Medisch Centrum Sint Radboud, Huispost 117, Postbus 9101, 6500 HB Nijmegen. w.vanpalenstein@dent.umcn.nl
pubmed:publicationType
Journal Article, English Abstract