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Cited by 227

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Construct and Predictive Validity of Clinical Caries Diagnostic Criteria Assessing Lesion Activity

Nyvad, B., Machiulskiene, V., Baelum, V.·2003·Journal of Dental Research

Abstract

Even though there is no “gold standard” for determining caries lesion activity, it is nonetheless possible to evaluate the validity of such diagnostic measures. The aim of this study was to estimate the construct and predictive validity of caries lesion activity assessments by means of their ability to reflect known effects of fluoride on caries. A three-year trial of the effect of daily supervised brushing with fluoride toothpaste was carried out among 273 12-year-old children. All children were examined clinically according to diagnostic criteria for activity assessment. The relative risk (fluoride vs. control) for caries lesion transitions among diagnostic categories was calculated. Fluoride inhibited progression of caries at all stages of lesion formation while at the same time enhancing lesion regression. The effects were most pronounced for active non-cavitated lesions. It is concluded that the clinical diagnostic criteria have construct and predictive validity for the assessment of caries lesion activity.

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Metadata

Authors
Nyvad, B., Machiulskiene, V., & Baelum, V.
Venue
Journal of Dental Research
Published
2003-02
Volume
82
Issue
2
Pages
117-122
ISSN
  • 0022-0345 (ISSN-L)
  • 1544-0591
OpenAlex
W1981374657
Cited by
227
References
1
FWCI
9.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Construct and Predictive Validity of Clinical Caries Diagnostic Criteria Assessing Lesion Activity. https://app.cochat.ai/papers/10.1177/154405910308200208
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Nyvad, B., Machiulskiene, V., & Baelum, V. (2003). Construct and Predictive Validity of Clinical Caries Diagnostic Criteria Assessing Lesion Activity. Journal of Dental Research. https://doi.org/10.1177/154405910308200208

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.