4.3 Review

DIAGNOSTIC ACCURACY OF TELEDENTISTRY IN THE DETECTION OF DENTAL CARIES: A SYSTEMATIC REVIEW

Journal

JOURNAL OF EVIDENCE-BASED DENTAL PRACTICE
Volume 16, Issue 3, Pages 161-172

Publisher

ELSEVIER INC
DOI: 10.1016/j.jebdp.2016.08.003

Keywords

Validity; Dental caries; Diagnosis; Photography; Telemedicine

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Objective This study sought to systematically review the literature for research evidence for the diagnostic accuracy of teledentistry in the detection of dental caries. Methods Two reviewers searched PubMed, EMBASE, and Scopus databases through January 2016 for comparative studies that examined the diagnostic accuracy of teledentistry for detecting caries compared with nontelemedicine alternatives. Retrieved studies were screened for inclusion criteria and were evaluated for methodological quality using the quality assessment of diagnostic accuracy studies (QUADAS-2) checklist. Results Of 287 citations identified, 10 met the preset inclusion criteria. Sensitivity and specificity were the most common measures of diagnostic accuracy used in 10 studies. Despite very limited published evidence on the diagnostic accuracy of teledentistry, the reviewed teledentistry studies showed comparable diagnostic performance compared with nontelemedicine alternatives. The average methodological quality of the selected articles is low, since none of the selected studies satisfied all 4 QUADAS-2 domains. Only 6 articles were scored as having a low risk of bias in 3 of 4 of QUADAS-2 domains. All the selected studies had low concerns regarding applicability. The main shortcoming was that in most of the selected studies, the methodology, in particular patient selection and index tests, was insufficiently described. Conclusions Teledentistry has an acceptable diagnostic performance in the detection of dental caries. However, due to the heterogeneity of the reviewed studies, the generalization of results may be difficult. Further well-designed research to investigate the effectiveness of the teledentistry approach to caries detection is needed to determine the capability of this technology in epidemiologic oral surveys.

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