Literature DB >> 16008632

Cariogram--a multifactorial risk assessment model for a multifactorial disease.

Douglas Bratthall1, Gunnel Hänsel Petersson.   

Abstract

This paper reviews some common methods for the assessment of caries risk. It also describes a new way of illustrating the caries risk profile of an individual, the Cariogram. Past caries experience and socioeconomic factors are often used for prediction of caries. As prediction models, the methods are simple, inexpensive and fast. However, they are not risk models, as they do not specify which particular risk factors are operating. Various biological factors can be used for risk assessment. Common ones are bacteria, diet and host factors. Taken separately, these biological factors often have limited predictive values. Socioeconomic factors often have a heavy impact on the biological factors as they can explain why an individual, for example, has a cariogenic diet or neglects oral hygiene. The biological factors are the immediate cause of the cavities. Caries experience is an illustration of how the host copes up with the biological activity. To facilitate the interpretation of biological data, the Cariogram was developed. It is a computer program showing a graphical picture that illustrates a possible overall caries risk scenario. The program contains an algorithm that presents a 'weighted' analysis of the input data, mainly biological factors. It expresses as to what extent different etiological factors of caries affect caries risk. The Cariogram identifies the caries risk factors for the individual and provides examples of preventive and treatment strategies to the clinician.

Mesh:

Year:  2005        PMID: 16008632     DOI: 10.1111/j.1600-0528.2005.00233.x

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


  74 in total

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2.  Dentists' use of caries risk assessment in children: findings from the Dental Practice-Based Research Network.

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3.  Are standardised caries risk assessment models effective?

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Journal:  Clin Oral Investig       Date:  2019-08-23       Impact factor: 3.573

5.  Approximal morphology as predictor of approximal caries in primary molar teeth.

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Journal:  Clin Oral Investig       Date:  2017-07-22       Impact factor: 3.573

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Authors:  R J Wierichs; E J Kramer; H Meyer-Lueckel
Journal:  Clin Oral Investig       Date:  2016-11-10       Impact factor: 3.573

7.  Caries Risk Assessment Item Importance: Risk Designation and Caries Status in Children under Age 6.

Authors:  Benjamin W Chaffee; John D B Featherstone; Stuart A Gansky; Jing Cheng; Ling Zhan
Journal:  JDR Clin Trans Res       Date:  2016-05-05

8.  Knowledge, opinions and practices of French general practitioners in the assessment of caries risk: results of a national survey.

Authors:  Sophie Doméjean; Stéphanie Léger; Antoine Simon; Nadège Boucharel; Christopher Holmgren
Journal:  Clin Oral Investig       Date:  2016-08-22       Impact factor: 3.573

9.  Dental caries: A complete changeover (Part II)-Changeover in the diagnosis and prognosis.

Authors:  Usha Carounanidy; R Sathyanarayanan
Journal:  J Conserv Dent       Date:  2009-07

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

Authors:  Gunnel Hänsel Petersson; Per-Erik Isberg; Svante Twetman
Journal:  BMC Oral Health       Date:  2010-04-19       Impact factor: 2.757

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