Literature DB >> 12399693

Evaluation of a computer program for caries risk assessment in schoolchildren.

G Hänsel Petersson1, S Twetman, D Bratthall.   

Abstract

The 'Cariogram' is an interactive PC program for caries risk evaluation. It takes into account the interactions between caries-related factors and expresses a graphic assessment of the risk. The aim of this study was to assess the caries risk in schoolchildren using the Cariogram and to evaluate the program by comparing the caries risk assessments with the actual change in DMF. A 2-year prospective study on 446 schoolchildren, 10-11 years old, was conducted. At baseline, data on general health, diet, oral hygiene and use of fluoride were obtained. Saliva analyses included mutans streptococci and lactobacilli counts, buffer capacity and secretion rate. DMFT and DMFS were calculated from records and bitewing radiographs. Scores were entered and caries risk was assessed. Re-examination for caries was done after 2 years. The children were divided into 5 groups according to the assessed caries risk at baseline. Where the Cariogram predicted a 0-20% (high risk), 21-40%, 41-60%, 61-80% and 81-100% (low risk) chance of avoiding new lesions, 8, 35, 42, 73 and 83%, respectively, had no new lesions 2 years later. Logistic regression analyses were carried out. When the Cariogram was included, only two factors, the Cariogram (p < 0.001) and the DMFS at baseline, i.e. past caries experience (p = 0.001), turned out to be significantly associated with caries increment. The Cariogram was the most powerful explanatory variable. When the Cariogram was excluded, lactobacillus count, mutans streptococci, diet intake frequency and DMFS at baseline were significantly associated with caries increment. The Cariogram predicted caries increment more accurately than any included single-factor model. How this finding can be translated into daily practice in the best and most practical way is a matter for future research. Copyright 2002 S. Karger AG, Basel

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Mesh:

Year:  2002        PMID: 12399693     DOI: 10.1159/000065963

Source DB:  PubMed          Journal:  Caries Res        ISSN: 0008-6568            Impact factor:   4.056


  37 in total

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4.  Salivary antimicrobial peptide expression and dental caries experience in children.

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Journal:  Antimicrob Agents Chemother       Date:  2005-09       Impact factor: 5.191

5.  Caries risk assessment in school children using a reduced Cariogram model without saliva tests.

Authors:  Gunnel Hänsel Petersson; Per-Erik Isberg; Svante Twetman
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Review 6.  Predicting Dental Caries Outcomes in Children: A "Risky" Concept.

Authors:  K Divaris
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7.  Does Botulinum neurotoxin type A treatment for sialorrhea change oral health?

Authors:  Janne Tiigimäe-Saar; Pille Taba; Tiia Tamme
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8.  Interest in a new test for caries risk in adolescents undergoing orthodontic treatment.

Authors:  C Chaussain; S Opsahl Vital; V Viallon; L Vermelin; C Haignere; M Sixou; J J Lasfargues
Journal:  Clin Oral Investig       Date:  2009-05-05       Impact factor: 3.573

9.  Improved ability of biological and previous caries multimarkers to predict caries disease as revealed by multivariate PLS modelling.

Authors:  Ake Nordlund; Ingegerd Johansson; Carina Källestål; Thorild Ericson; Michael Sjöström; Nicklas Strömberg
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Review 10.  Dental caries risk studies revisited: causal approaches needed for future inquiries.

Authors:  Jolanta Aleksejūniene; Dorthe Holst; Vilma Brukiene
Journal:  Int J Environ Res Public Health       Date:  2009-11-30       Impact factor: 3.390

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