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Evaluation of a computer program for caries risk assessment in schoolchildren
Malmö högskola, Faculty of Odontology (OD).ORCID iD: 0009-0003-0856-5700
2002 (English)In: Caries Research, ISSN 0008-6568, E-ISSN 1421-976X, Vol. 36, no 5, p. 327-340Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
S. Karger, 2002. Vol. 36, no 5, p. 327-340
National Category
Dentistry
Identifiers
URN: urn:nbn:se:mau:diva-15705DOI: 10.1159/000065963ISI: 000179143700005PubMedID: 12399693Scopus ID: 2-s2.0-0036727903Local ID: 10660OAI: oai:DiVA.org:mau-15705DiVA, id: diva2:1419227
Available from: 2020-03-30 Created: 2020-03-30 Last updated: 2024-09-18Bibliographically approved
In thesis
1. Assessing caries risk: using the cariogram model
Open this publication in new window or tab >>Assessing caries risk: using the cariogram model
2003 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Malmö University, 2003
Series
Swedish Dental Journal : Supplement, ISSN 0348-6672 ; 158
Keywords
karies, Dental caries diagnosis, DMF index, Risk assessment methods
National Category
Dentistry
Identifiers
urn:nbn:se:mau:diva-7678 (URN)4356 (Local ID)4356 (Archive number)4356 (OAI)
Note

Paper IV in dissertation as accepted manuscript, paper V as manuscript with title "Comparing caries risk factors and caries risk profiles in children and elderly"

Available from: 2020-02-28 Created: 2020-02-28 Last updated: 2024-09-18Bibliographically approved

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Hänsel Petersson, Gunnel

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