Literature DB >> 30573864

Are standardised caries risk assessment models effective?

Soraya C Leal1.   

Abstract

Data sourcesPubMed, Scopus and Embase were searched from 2000 to 2016.Study selectionA search strategy was developed to identify randomised clinical trials, cross-sectional studies, cohort studies, comparative studies, validation studies and evaluation studies that tested standardised caries risk assessment (CRA) models. There was no restriction with respect to patients' age, but caries data should have been recorded using the Decayed, Missing, Filled Tooth/Surface (DMFT/S) or the International Caries Detection and Assessment System (ICDAS) indices.Data extraction and synthesisTwo authors independently assessed the papers for inclusion, carried out data extraction and the papers' methodological quality using a customised quality assessment tool developed by the National Heart, Lung and Blood Institute and Research Triangle Institute International for Observational Cohort and Cross-Sectional Studies. For comparison between studies, the caries values were organised in two-by-two tables from which sensitivity, specificity values and their 95% confidence intervals were calculated.ResultsA total of 1239 papers were retrieved of which 32 were included. The most frequent CRA model investigated was the Cariogram. Sixteen studies were carried out on children and 12 on adults. The results showed an association between the risk determined by the model and the actual caries status and/or the development of new carious lesions, this association being statistically significant. With respect to the quality of the studies included in the review, 19 were classified as of good quality, while eight and five were judged as of fair and poor, respectively. On the basis of seven studies, it was observed that Cariogram sensibility varied from 41.0 to 75.0, while its specificity ranged from 65.8 to 88.0.ConclusionsThere is insufficient evidence to assert that CRA models are effective in determining patients' actual caries risk or in predicting their probability of developing new carious lesions. Moreover, the validity of standardised CRA models is still limited.

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Year:  2018        PMID: 30573864     DOI: 10.1038/sj.ebd.6401338

Source DB:  PubMed          Journal:  Evid Based Dent        ISSN: 1462-0049


  6 in total

1.  Evaluation of a computer-based caries risk assessment program in an elderly group of individuals.

Authors:  Gunnel Hänsel Petersson; Solveig Fure; Douglas Bratthall
Journal:  Acta Odontol Scand       Date:  2003-06       Impact factor: 2.331

Review 2.  Caries management by risk assessment: consensus statement, April 2002.

Authors:  John D B Featherstone; Steven M Adair; Maxwell H Anderson; Robert J Berkowitz; William F Bird; James J Crall; Pamela K Den Besten; Kevin J Donly; Paul Glassman; Peter Milgrom; Jon R Roth; Reed Snow; Ray E Stewart
Journal:  J Calif Dent Assoc       Date:  2003-03

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

Authors:  Douglas Bratthall; Gunnel Hänsel Petersson
Journal:  Community Dent Oral Epidemiol       Date:  2005-08       Impact factor: 3.383

4.  Building caries risk assessment models for children.

Authors:  X-L Gao; C-Y S Hsu; Y Xu; H B Hwarng; T Loh; D Koh
Journal:  J Dent Res       Date:  2010-04-16       Impact factor: 6.116

5.  Caries risk assessment in young adults: a 3 year validation of the Cariogram model.

Authors:  Gunnel Hänsel Petersson; Svante Twetman
Journal:  BMC Oral Health       Date:  2015-01-27       Impact factor: 2.757

6.  Efficiency of caries risk assessment in young adults using Cariogram.

Authors:  Esra Uzer Celik; Necmi Gokay; Mustafa Ates
Journal:  Eur J Dent       Date:  2012-07
  6 in total
  1 in total

1.  Nomogram prediction of caries risk among schoolchildren age 7 years based on a cohort study in Shanghai.

Authors:  Yuan Luo; Hao Zhang; Xiaoli Zeng; Wei Xu; Xun Wang; Ying Zhang; Yan Wang
Journal:  J Int Med Res       Date:  2021-11       Impact factor: 1.671

  1 in total

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