Literature DB >> 21838824

Development of the Dundee Caries Risk Assessment Model (DCRAM)--risk model development using a novel application of CHAID analysis.

Heather M B MacRitchie1, Christopher Longbottom, Margaret Robertson, Zoann Nugent, Karen Chan, John R Radford, Nigel B Pitts.   

Abstract

OBJECTIVES: To use a novel statistical analysis in the development of caries risk assessment models for preschool children for use in a particular community setting.
METHODS: Data were collected longitudinally on a cohort of approximately 1500 children born in one calendar year in the city of Dundee, Scotland. A dental examination and oral microbiological saliva sample, together with parental and health visitor questionnaires, were completed for each child at ages 1, 2, 3 and 4 years. The 1-year data were analysed using chi-squared automated interaction detector analysis (CHAID) to produce a set of caries risk assessment models for predicting caries in 4-year-olds.
RESULTS: Four risk models were developed using CHAID analysis for caries at 4 years of age using risk assessment data collected at age 1. These models included two 'any' caries-risk models (n = 697, dmft >0) and two 'high' caries-risk models (n = 784, dmft ≥3) depending on the use of the d(1) (enamel and dentine) or d(3) (dentine only) level of caries detection. The most appropriate model developed for use was shown to be the CHAID high caries-risk model at the d(3) level of detection (d(3) mft ≥3). This had a sensitivity of 65% and specificity of 69%.
CONCLUSIONS: An appropriate risk assessment model for use in a particular community setting predicting caries at age 4 years from data collected at age 1 year was developed. This has been termed the Dundee Caries Risk Assessment Model.
© 2011 John Wiley & Sons A/S.

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Year:  2011        PMID: 21838824     DOI: 10.1111/j.1600-0528.2011.00630.x

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


  12 in total

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Review 3.  Beyond Streptococcus mutans: clinical implications of the evolving dental caries aetiological paradigms and its associated microbiome.

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4.  Caries risk assessment in dental practices by dentists from a Brazilian community.

Authors:  Elaine Pereira da Silva Tagliaferro; Silvio Rocha Correa da Silva; Fernanda Lopez Rosell; Aylton Valsecki Junior; Joseph Leo Riley Iii; Gregg Hewit Gilbert; Valeria Veiga Gordan
Journal:  Braz Oral Res       Date:  2020-11-23

5.  Caries risk assessment-related knowledge, attitude, and behaviors among Chinese dentists: a cross-sectional survey.

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6.  A systematic review of risk assessment tools for early childhood caries: is there evidence?

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7.  Predictive research methods of enamel and dentine for initial caries detection.

Authors:  Anatoly A Kunin; Irina A Belenova; Yury A Ippolitov; Natalia S Moiseeva; Dmitry A Kunin
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8.  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
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9.  Diagnosis of Liver Neoplasms by Computational and Statistical Image Analysis.

Authors:  Rong Xia; Amir M Boroujeni; Stephanie Shea; Yongsheng Pan; Raag Agrawal; Elhem Yousefi; M Isabel Fiel; M A Haseeb; Raavi Gupta
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10.  Decision Tree Approach to the Impact of Parents' Oral Health on Dental Caries Experience in Children: A Cross-Sectional Study.

Authors:  Shinechimeg Dima; Kung-Jeng Wang; Kun-Huang Chen; Yung-Kai Huang; Wei-Jen Chang; Sheng-Yang Lee; Nai-Chia Teng
Journal:  Int J Environ Res Public Health       Date:  2018-04-06       Impact factor: 3.390

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