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. 2018 Mar-Apr;11(2):110-115.
doi: 10.5005/jp-journals-10005-1495. Epub 2018 Apr 1.

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

Anu Garg  1 , Manish Madan  2 , Parminder Dua  3 , Sheeba Saini  4 , Ritu Mangla  5 , Pallav Singhal  6 , Akash Dupper  7
Affiliations

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

Anu Garg et al. Int J Clin Pediatr Dent. 2018 Mar-Apr.

Abstract

Aim: To validate the caries risk profiles in 5- and 12-year-old school-going children and to single out main contributing factor, if any, using cariogram over a period of 1 year.

Materials and methods: A cariogram model was used to create caries risk profiles on 499 children aged 5 and 12 years ±6 months. They were divided into 2 groups. The group I and group II consisted of 250 and 249 children respectively. Re-examination was done after 1 year and caries increment was recorded. The caries risk profiles generated by the cariogram software were compared with caries increment.

Results: Percentage of subject having caries increment in groups I and II in high-, medium-, and low-risk group after 1 year was 66.2, 39.5, and 13%, and 48.5, 27.3, and 13.9% respectively. The mean caries increment after 1 year in groups I and II in high-, medium-, and low-risk patients was 0.96, 0.49, and 0.13, and 0.7, 0.36, and 0.11 respectively. Linear regression analysis showed dental caries, diet content, diet frequency, plaque index, Streptococcus mutans count, fluoride, salivary flow rate, and buffer capacity are significantly associated with actual chance to avoid caries.

Conclusion: The risk of developing new carious lesions consistently reduced from high-risk category to low-risk category, reflecting the cariogram ability in accurately estimating future caries. Hence, cariogram can be said to be a useful tool for caries prediction. Initial dental caries came out to be the strongest predictor of future caries.How to cite this article: Garg A, Madan M, Dua P, Saini S, Mangla R, Singhal P, Dupper A. Validating the Usage of Car-iogram in 5- and 12-year-old School-going Children in Paonta Sahib, Himachal Pradesh, India: A 12-month Prospective Study. Int J Clin Pediatr Dent 2018;11(2):110-115.

Keywords: Cariogram; High-risk patients; Low-risk patients; Medium-risk patients..

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Conflict of interest statement

Source of support: Nil Conflict of interest: None

Figures

Graph 1:
Graph 1:
Linear regression analysis of predictor variables in relation to estimation of the “actual chance to avoid new cavities” in group I
Graph 2:
Graph 2:
Linear regression analysis of predictor variables in relation to estimation of the “actual chance to avoid new cavities” in group II
Graph 3:
Graph 3:
Percentage of subjects having dental caries increment after 1-year follow-up in groups I and II according to caries risk profile of cariogram
Graph 4:
Graph 4:
Cariogram group I (5-year-old children) high risk (PC software, version 3.0)
See this image and copyright information in PMC

References

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