By Per Axelsson
The second one quantity of the sequence offers readers with present wisdom concerning the etiology, enhancing components, and probability assessment of dental caries, as well as improvement, analysis, and epidemiology. for every subject addressed, the writer presents special medical history, a good illustrated consultant to enforcing cutting-edge practices, conclusions, and destiny recommendations.
Table of Contents:
1. Etiologic components curious about Dental Caries
2. exterior enhancing components enthusiastic about Dental Caries
3. inner editing components excited by Dental Caries
4. Prediction of Caries probability and possibility Profiles
5. improvement and prognosis of Carious Lesions
6. Epidemiology of Dental Caries
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Additional resources for Diagnosis and Risk Prediction of Dental Caries, Volume 2
4. To determine whether there is any association between the SM level and the PFRI score. 5. To determine the influence of individual factors on the PFRI score (these data were not available at the time of writing and are not included in this chapter). 6. To determine whether caries development can be predicted by a combination of salivary S mutans levels and the PFRI. All 716 14 year olds in Karlstad, Sweden, were recruited to participate in the study. Each was given two dental appointments, precisely 24 hours apart.
In a more recent 2-year longitudinal Swedish study in children (5 to 7 years and 12 to 14 years), Sullivan et al (1989) found that the correlation between caries incidence and both salivary MS and lactobacilli was weak at the individual level, particularly after correction for confounding factors, such as oral hygiene status. In another study, Sullivan et al (1996) found that MS and lactobacilli, whether in saliva or in plaque, was not a powerful enough tool for caries prediction in a group of 14 to to 15 year olds.
For the false positives, in group "b," a high risk was assumed, but the true caries incidence was low. Correspondingly the false-negatives in group c were believed to have a low risk, but their actual caries incidence was high. This design is only usable for one predictor at a time. In practice, several predictors are often regarded in prediction studies. In the case of multiple predictors, each of them can be considered separately, which leads to predictor-specific numbers of trueor false-positives and true- or false-negatives.
Diagnosis and Risk Prediction of Dental Caries, Volume 2 by Per Axelsson