Literature DB >> 23306621

Caries risk assessment in Chilean adolescents and adults and its association with caries experience.

Rodrigo Andrés Giacaman1, Paulina Miranda Reyes, Valeria Bravo León.   

Abstract

Cariogram is a computer program that uses an algorithm to assess caries risk. Although the use of Cariogram has recently increased, little information is available regarding its effectiveness in adults. This study aimed to determine whether caries risk from Cariogram relates to caries experience in adults. One hundred and eighty Cariogram files were completed from patients aged ten to fifty-six years (mean: 23.28 years). Seven factors from the software were included from patient records to complete the Cariogram: caries experience, diet (content and frequency), stimulated salivary flow, hygiene index, related diseases and fluoride usage. The percentages of "chances of avoiding new lesions" (caries risk) were obtained from Cariogram, and the subjects were classified into five risk groups. Results were compared for each variable with ANOVA, and a correlation between caries and Cariogram variables was calculated by Pearson's correlation coefficient. A multivariate regression model was also used. Only three patients were classified as low risk, and none were classified as very low risk. Thus, only the four upper quintiles were considered for the analysis, and the lower quintile was not considered in the study. Neither DMFT nor the number of lesions were significantly different among the Cariogram's risk categories (p > 0.05). Only diet content was significantly correlated with caries experience (p = 0.006). Caries lesions failed to correlate with any Cariogram variable (p > 0.05). Age, not sex or caries risk scores, showed a strong and positive association with DMFT (p < 0.01). Caries risk from Cariogram appears to be unrelated with caries experience or caries lesions in a high-caries adult population.

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Year:  2013        PMID: 23306621     DOI: 10.1590/s1806-83242013000100002

Source DB:  PubMed          Journal:  Braz Oral Res        ISSN: 1806-8324


  4 in total

1.  Caries Risk Assessment among School Going Young Adolescents in Sullia Taluk-Dakshina Kannada.

Authors:  P Jagan; Radhakrishnan Karthikeyan; Rajendran Bharathan; N C Srihari; Arumugasamy Niranjana; Minu Suresh
Journal:  J Pharm Bioallied Sci       Date:  2021-11-10

2.  Caries risk assessment using different Cariogram models. A comparative study about concordance in different populations-Adults and children.

Authors:  Maria Grazia Cagetti; Giuliana Bontà; Juan Sebastian Lara; Guglielmo Campus
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

3.  Validating the Usage of Cariogram in 5- and 12-year-old School-going Children in Paonta Sahib, Himachal Pradesh, India: A 12-month Prospective Study.

Authors:  Anu Garg; Manish Madan; Parminder Dua; Sheeba Saini; Ritu Mangla; Pallav Singhal; Akash Dupper
Journal:  Int J Clin Pediatr Dent       Date:  2018-04-01

4.  Are standardized caries risk assessment models effective in assessing actual caries status and future caries increment? A systematic review.

Authors:  Maria Grazia Cagetti; Giuliana Bontà; Fabio Cocco; Peter Lingstrom; Laura Strohmenger; Guglielmo Campus
Journal:  BMC Oral Health       Date:  2018-07-16       Impact factor: 2.757

  4 in total

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