Literature DB >> 2686924

Past caries recordings made in Public Dental Clinics as predictors of caries prevalence in early adolescence.

L Seppä1, H Hausen, L Pöllänen, K Helasharju, S Kärkkäinen.   

Abstract

The aim of the present study was to evaluate the power of past caries experience in primary and permanent dentition in predicting caries prevalence at the age of 13 yr. Clinical and radiographical examination was performed in 512 13-yr-olds by a trained research team. The 6-12-yr dmfs and DMFS values were obtained from the Public Dental Care records. For evaluating the accuracy of predictions, the children were cross-classified according to each past caries score and the 13-yr score. The cutting points were selected to that the children in the upper quartile of caries experience formed the predicted and true high caries groups, leaving about 75% in the low caries groups. Pearson correlations were also calculated. Sensitivity and specificity of caries in primary teeth (6 yr) were 57% and 85%, respectively. For permanent dentition, sensitivity was the lowest (28%) at the age of 6, reached 68% at the age of 9 and remained at that level until age 12. Specificity decreased from 92% (6 yr) to 85% (9 yr) and then steadily increased to 93% (12 yr). Correlation increased with age from 0.37 to 0.82. When screening for high caries increment in young children, caries in primary dentition seems a better screening criterion than caries in permanent first molars. When the aim is to identify those subjects with high caries increment later on, screening at age 9 seems as accurate as that done later.

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Year:  1989        PMID: 2686924     DOI: 10.1111/j.1600-0528.1989.tb00635.x

Source DB:  PubMed          Journal:  Community Dent Oral Epidemiol        ISSN: 0301-5661            Impact factor:   3.383


  8 in total

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2.  Caries increment and prediction from 12 to 18 years of age: a follow-up study.

Authors:  J David; M Raadal; N J Wang; G V Strand
Journal:  Eur Arch Paediatr Dent       Date:  2006-03

3.  Multidimensional causal model of dental caries development in low-income preschool children.

Authors:  M D Litt; S Reisine; N Tinanoff
Journal:  Public Health Rep       Date:  1995 Sep-Oct       Impact factor: 2.792

4.  Clinical performance of a nanofilled resin composite with and without an intermediary layer of flowable composite: a 2-year evaluation.

Authors:  Sebastian Stefanski; Jan W V van Dijken
Journal:  Clin Oral Investig       Date:  2010-11-23       Impact factor: 3.573

Review 5.  Fluoride supplementation (with tablets, drops, lozenges or chewing gum) in pregnant women for preventing dental caries in the primary teeth of their children.

Authors:  Rena Takahashi; Erika Ota; Keika Hoshi; Toru Naito; Yoshihiro Toyoshima; Hidemichi Yuasa; Rintaro Mori; Eishu Nango
Journal:  Cochrane Database Syst Rev       Date:  2017-10-23

6.  Models to Predict Future Permanent Tooth Caries Incidence in Children Using Primary Teeth Caries Experience.

Authors:  Tariq S Ghazal; Noel K Childers; Steven M Levy
Journal:  Pediatr Dent       Date:  2019-11-15       Impact factor: 1.874

7.  Ten years on: Is dental general anaesthesia in childhood a risk factor for caries and anxiety?

Authors:  S Haworth; T Dudding; A Waylen; S J Thomas; N J Timpson
Journal:  Br Dent J       Date:  2017-02-24       Impact factor: 1.626

8.  Outcome of Chair-Side Dental Fear Treatment: Long-Term Follow-Up in Public Health Setting.

Authors:  T Kankaala; T Määttä; M Tolvanen; S Lahti; V Anttonen
Journal:  Int J Dent       Date:  2019-06-04
  8 in total

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