Literature DB >> 22978796

Evidence on existing caries risk assessment systems: are they predictive of future caries?

M Tellez, J Gomez, I Pretty, R Ellwood, A I Ismail.   

Abstract

AIM: To critically appraise evidence for the prediction of caries using four caries risk assessment (CRA) systems/guidelines (Cariogram, Caries Management by Risk Assessment (CAMBRA), American Dental Association (ADA), and American Academy of Pediatric Dentistry (AAPD)). This review focused on prospective cohort studies or randomized controlled trials.
METHODS: A systematic search strategy was developed to locate papers published in Medline Ovid and Cochrane databases. The search identified 539 scientific reports, and after title and abstract review, 137 were selected for full review and 14 met the following inclusion criteria: (i) used as validating criterion caries incidence/increment, (ii) involved human subjects and natural carious lesions, and (iii) published in peer-reviewed journals. In addition, papers were excluded if they met one or more of the following criteria: (i) incomplete description of sample selection, outcomes, or small sample size and (ii) not meeting the criteria for best evidence under the prognosis category of the Oxford Centre for Evidence-Based Medicine.
RESULTS: There are wide variations among the systems in terms of definitions of caries risk categories, type and number of risk factors/markers, and disease indicators. The Cariogram combined sensitivity and specificity for predicting caries in permanent dentition ranges from 110 to 139 and is the only system for which prospective studies have been conducted to assess its validity. The Cariogram had limited prediction utility in preschool children, and a moderate to good performance for sorting out elderly individuals into caries risk groups. One retrospective analysis on CAMBRA's CRA reported higher incidence of cavitated lesions among those assessed as extreme-risk patients when compared with those at low risk.
CONCLUSION: The evidence on the validity for existing systems for CRA is limited. It is unknown if the identification of high-risk individuals can lead to more effective long-term patient management that prevents caries initiation and arrests or reverses the progression of lesions. There is an urgent need to develop valid and reliable methods for caries risk assessment that are based on best evidence for prediction and disease management rather than opinions of experts.

Entities:  

Mesh:

Year:  2013        PMID: 22978796     DOI: 10.1111/cdoe.12003

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


  49 in total

1.  Improving Caries Risk Prediction Modeling: A Call for Action.

Authors:  M Fontana; A Carrasco-Labra; H Spallek; G Eckert; B Katz
Journal:  J Dent Res       Date:  2020-06-29       Impact factor: 6.116

Review 2.  Caries risk assessment in children: how accurate are we?

Authors:  S Twetman
Journal:  Eur Arch Paediatr Dent       Date:  2015-07-19

3.  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

4.  A novel classification system for assessment of approximal caries lesion progression in bitewing radiographs.

Authors:  Anna Senneby; Margareta Elfvin; Christina Stebring-Franzon; Madeleine Rohlin
Journal:  Dentomaxillofac Radiol       Date:  2016-04-04       Impact factor: 2.419

5.  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

Review 6.  Beyond Streptococcus mutans: clinical implications of the evolving dental caries aetiological paradigms and its associated microbiome.

Authors:  N Philip; B Suneja; L Walsh
Journal:  Br Dent J       Date:  2018-02-16       Impact factor: 1.626

7.  Development of toolkits for detecting dental caries and caries experience among children using self-report and parent report.

Authors:  Marvin Marcus; Di Xiong; Yan Wang; Carl A Maida; Ron D Hays; Ian D Coulter; Vladimir W Spolsky; Steve Y Lee; Jie Shen; James J Crall; Honghu Liu
Journal:  Community Dent Oral Epidemiol       Date:  2019-10-01       Impact factor: 3.383

8.  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

9.  Baseline caries risk assessment as a predictor of caries incidence.

Authors:  Benjamin W Chaffee; Jing Cheng; John D B Featherstone
Journal:  J Dent       Date:  2015-02-27       Impact factor: 4.379

10.  Dentists' decisions to conduct caries risk assessment in a Dental Practice-Based Research Network.

Authors:  Naoki Kakudate; Futoshi Sumida; Yuki Matsumoto; Yoko Yokoyama; Joseph L Riley; Gregg H Gilbert; Valeria V Gordan
Journal:  Community Dent Oral Epidemiol       Date:  2014-09-01       Impact factor: 3.383

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