Linked Life Data

19902493

Source:http://linkedlifedata.com/resource/pubmed/id/19902493

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
28
pubmed:dateCreated
2009-11-17
pubmed:abstractText
The expression 'dental age' (DA) denotes the mean age at which a given stage of dental development is achieved in a population chosen as calibrator. The rhythm at which the maturation occurs is a characteristic of a given population in a given period. When DA is determined on subjects of a population different from the calibrator, the shape of the relationship of DA to chronological age (CA) must be empirically determined to trace reference charts for DA that properly apply to this population. The aim of this study is to show how the DA determined in a calibration set (Häävikko's DA) can be adapted to apply to another population (Italian children), by means of CA-dependent smooth functions of the location, scale and shape of DA distribution. A set of 492 good quality panoramic films taken on healthy Italian children aged 5.5-14.5 years was analysed. The techniques under comparison produced quite similar curves: a parsimonious (4 e.d.f.) and rather satisfactory smoothing spline was found for median, but not for scale and shape indices: so the meaning of SDS values derived from these adjusted reference charts may result doubtful. Among the software products considered here, LMS program was found to be particularly user friendly, since allows the user to visually control the effect of changing the number of e.d.f. on the pattern of DA reference charts.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1097-0258
pubmed:author
pubmed:copyrightInfo
Copyright (c) 2009 John Wiley & Sons, Ltd.
pubmed:issnType
Electronic
pubmed:day
10
pubmed:volume
28
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3554-61
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Adapting Häävikko's dental age for the assessment of Italian children: use of LMS and other models based on smoothing splines.
pubmed:affiliation
Institute of Medical Statistics and Biometry G.A. Maccacaro, Università degli Studi di Milano, via Venezian 1, Milan, Italy.
pubmed:publicationType
Journal Article