Literature DB >> 25862278

Detection and treatment of proximal caries lesions: Milieu-specific cost-effectiveness analysis.

Falk Schwendicke1, Sebastian Paris2, Michael Stolpe3.   

Abstract

OBJECTIVES: Dental caries lesions are highly prevalent, concentrated in high-risk groups, and often affect proximal tooth surfaces. Choosing a caries detection method determines the available treatment options: radiographically detected early lesion stages might receive non-, micro-, or invasive treatments, whilst visually tactile detected lesions are often advanced and mostly require invasive treatment. Thus, the choice of detection method impacts on patients via the applied treatment. We compared the cost-effectiveness of combinations of detections and treatments of proximal lesions in different populations which did or did not receive prevention during adolescence. These cost-effectiveness comparisons of different detection-treatment combinations should aid clinical decision making and improve resource allocation.
METHODS: A Markov-model was constructed to follow a proximal posterior surface in a 12-year-old German over his lifetime. Prevalence, validity and transition probabilities were extracted from the literature. Microsimulations were performed to evaluate costs (Euro) per tooth-retention-time (years).
RESULTS: For populations with low risk, radiographic detection plus non-invasive treatment without (270 Euro, 61.5 years) and with prevention (312 Euro, 63.0 years), as well as radiographic detection plus micro-invasive treatment and prevention (373 Euro, 64.0 years) were cost-effective. For populations with high risk, radiographic detection plus micro-invasive treatment without (427 Euro, 58.5 years) and with prevention (436 Euro, 61.0 years) were cost-effective. Combinations involving invasive treatments had limited cost-effectiveness.
CONCLUSIONS: Caries detection methods should be evaluated regarding the cost-effectiveness resulting from their use in different populations. CLINICAL SIGNIFICANCE: Caries detection methods are usually evaluated regarding their validity compared to a gold standard. We demonstrate that the cost-effectiveness stemming from using different detection methods additionally depends on the treatment options determined by different methods, and the examined population. Dentists' choice of a detection method should not only be guided by its validity, but also by its specific benefits in different populations.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Caries infiltration; Dental caries; Fluoride; Health economics; Markov process; Prevalence; Radiography

Mesh:

Substances:

Year:  2015        PMID: 25862278     DOI: 10.1016/j.jdent.2015.03.009

Source DB:  PubMed          Journal:  J Dent        ISSN: 0300-5712            Impact factor:   4.379


  10 in total

1.  Need of non-operative caries treatment in 16-year-olds from Northern Norway.

Authors:  I D Jacobsen; C-G Crossner; H M Eriksen; I Espelid; C Ullbro
Journal:  Eur Arch Paediatr Dent       Date:  2018-12-04

2.  Visual and radiographic caries detection: a tailored meta-analysis for two different settings, Egypt and Germany.

Authors:  Falk Schwendicke; Karim Elhennawy; Osama El Shahawy; Reham Maher; Thais Gimenez; Fausto M Mendes; Brian H Willis
Journal:  BMC Oral Health       Date:  2018-06-08       Impact factor: 2.757

3.  A systematic review of decision analytic modeling techniques for the economic evaluation of dental caries interventions.

Authors:  Zhi Qu; Shanshan Zhang; Christian Krauth; Xuenan Liu
Journal:  PLoS One       Date:  2019-05-15       Impact factor: 3.240

4.  Microbiota of interdental space of adolescents according to Risk of Caries: A cross-sectional study protocol.

Authors:  Camille Inquimbert; Denis Bourgeois; Nicolas Giraudeau; Paul Tramini; Stéphane Viennot; Claude Dussart; Florence Carrouel
Journal:  Contemp Clin Trials Commun       Date:  2019-10-18

5.  Diversity of site-specific microbes of occlusal and proximal lesions in severe- early childhood caries (S-ECC).

Authors:  Kausar Sadia Fakhruddin; Lakshman Perera Samaranayake; Rifat Akram Hamoudi; Hien Chi Ngo; Hiroshi Egusa
Journal:  J Oral Microbiol       Date:  2022-02-13       Impact factor: 5.474

6.  Cost-effectiveness of Artificial Intelligence as a Decision-Support System Applied to the Detection and Grading of Melanoma, Dental Caries, and Diabetic Retinopathy.

Authors:  Jesus Gomez Rossi; Natalia Rojas-Perilla; Joachim Krois; Falk Schwendicke
Journal:  JAMA Netw Open       Date:  2022-03-01

7.  Artificial Intelligence for Caries Detection: Value of Data and Information.

Authors:  F Schwendicke; J Cejudo Grano de Oro; A Garcia Cantu; H Meyer-Lueckel; A Chaurasia; J Krois
Journal:  J Dent Res       Date:  2022-08-22       Impact factor: 8.924

8.  Oral Hygiene in a Sample of Children/Adolescents Living in Family-Homes from the Province of Milan (Italy): A Pilot Study.

Authors:  Alessandro Nota; Floriana Bosco; Shideh Ehsani; Francesca Giugliano; Giulia Moreo; Simona Tecco
Journal:  Dent J (Basel)       Date:  2020-04-09

9.  The Oral Bacterial Microbiome of Interdental Surfaces in Adolescents According to Carious Risk.

Authors:  Camille Inquimbert; Denis Bourgeois; Manuel Bravo; Stéphane Viennot; Paul Tramini; Juan Carlos Llodra; Nicolas Molinari; Claude Dussart; Nicolas Giraudeau; Florence Carrouel
Journal:  Microorganisms       Date:  2019-09-05

10.  Cost-effectiveness of Artificial Intelligence for Proximal Caries Detection.

Authors:  F Schwendicke; J G Rossi; G Göstemeyer; K Elhennawy; A G Cantu; R Gaudin; A Chaurasia; S Gehrung; J Krois
Journal:  J Dent Res       Date:  2020-11-16       Impact factor: 6.116

  10 in total

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