Literature DB >> 23998481

Caries risk assessment. A systematic review.

I Mejàre1, S Axelsson, G Dahlén, I Espelid, A Norlund, S Tranæus, S Twetman.   

Abstract

OBJECTIVE: To assess the ability of multivariate models and single factors to correctly identify future caries development in pre-school children and schoolchildren/adolescents. STUDY
DESIGN: A systematic literature search for relevant papers was conducted with pre-determined inclusion criteria. Abstracts and full-text articles were assessed independently by two reviewers. The quality of studies was graded according to the QUADAS tool. The quality of evidence of models and single predictors was assessed using the GRADE approach.
RESULTS: Ninety original articles fulfilled the inclusion criteria. Seven studies had high quality, 35 moderate and the rest poor quality. The accuracy of multivariate models was higher for pre-school children than for schoolchildren/adolescents. However, the models had seldom been validated in independent populations, making their accuracy uncertain. Of the single predictors, baseline caries experience had moderate/good accuracy in pre-school children and limited accuracy in schoolchildren/adolescents. The period of highest risk for caries incidence in permanent teeth was the first few years after tooth eruption. In general, the quality of evidence was limited.
CONCLUSIONS: Multivariate models and baseline caries prevalence performed better in pre-school children than in schoolchildren/adolescents. Baseline caries prevalence was the most accurate single predictor in all age groups. The heterogeneity of populations, models, outcome criteria, measures and reporting hampered the synthesis of results. There is a great need to standardize study design, outcome measures and reporting of data in studies on caries risk assessment. The accuracy of prediction models should be validated in at least one independent population.

Entities:  

Mesh:

Year:  2013        PMID: 23998481     DOI: 10.3109/00016357.2013.822548

Source DB:  PubMed          Journal:  Acta Odontol Scand        ISSN: 0001-6357            Impact factor:   2.331


  58 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

2.  Effect of a chlorhexidine/thymol and a fluoride varnish on caries development in erupting permanent molars: a comparative study.

Authors:  S Flamee; S Gizani; C Caroni; L Papagiannoulis; S Twetman
Journal:  Eur Arch Paediatr Dent       Date:  2015-06-10

3.  When to intervene in the caries process? An expert Delphi consensus statement.

Authors:  Falk Schwendicke; Christian Splieth; Lorenzo Breschi; Avijit Banerjee; Margherita Fontana; Sebastian Paris; Michael F Burrow; Felicity Crombie; Lyndie Foster Page; Patricia Gatón-Hernández; Rodrigo Giacaman; Neeraj Gugnani; Reinhard Hickel; Rainer A Jordan; Soraya Leal; Edward Lo; Hervé Tassery; William Murray Thomson; David J Manton
Journal:  Clin Oral Investig       Date:  2019-08-23       Impact factor: 3.573

4.  Radiographic pattern of underlying dentin lesions (ICDAS 4) in permanent teeth.

Authors:  P K Marquezan; L S Alves; A Dalla Nora; M Maltz; Júlio Eduardo do Amaral Zenkner
Journal:  Clin Oral Investig       Date:  2019-01-28       Impact factor: 3.573

Review 5.  Caries risk assessment in children: how accurate are we?

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

6.  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

7.  Retention rates and caries-preventive effects of two different sealant materials: a randomised clinical trial.

Authors:  Renata Nunes Cabral; Jorge Faber; Simone Auxiliadora Morais Otero; Leandro Augusto Hilgert; Soraya Coelho Leal
Journal:  Clin Oral Investig       Date:  2018-03-09       Impact factor: 3.573

8.  An Automated Machine Learning Classifier for Early Childhood Caries.

Authors:  Deepti S Karhade; Jeff Roach; Poojan Shrestha; Miguel A Simancas-Pallares; Jeannie Ginnis; Zachary J S Burk; Apoena A Ribeiro; Hunyong Cho; Di Wu; Kimon Divaris
Journal:  Pediatr Dent       Date:  2021-05-15       Impact factor: 1.874

9.  Detection of signature volatiles for cariogenic microorganisms.

Authors:  M Hertel; R Preissner; B Gillissen; A M Schmidt-Westhausen; S Paris; S Preissner
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-11-26       Impact factor: 3.267

10.  Evaluation of a regional German interdisciplinary oral health programme for children from birth to 5 years of age.

Authors:  Y Wagner; R Heinrich-Weltzien
Journal:  Clin Oral Investig       Date:  2016-03-16       Impact factor: 3.573

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