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Adjunctive Diode Laser Therapy and Probiotic Lactobacillus Therapy in the Treatment of Periodontitis and Peri-Implant Disease

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Prediction of Periodontal Disease From Multiple Self-Reported Items in a German Practice-Based Sample.

T Dietrich^1,2,3, U Stosch^3,4, D Dietrich⁵

¹Department of Health Policy and Health Services Research, Boston University Goldman School of Dental Medicine, Boston, MA.

Journal of Periodontology

|March 15, 2018

Summary

Self-reported tooth mobility and other items accurately assess periodontal disease in large studies. This method enhances epidemiologic research by providing reliable self-reported measures for disease ascertainment.

Keywords:

Epidemiologic methods periodontitis sensitivity and specificity validation studies

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Published on: November 3, 2011

Area of Science:

Dental epidemiology
Public health research

Background:

Self-reported measures are valuable for large-scale epidemiologic studies of periodontal disease.
Current methods for periodontal disease ascertainment require improvement for broad applicability.

Purpose of the Study:

To evaluate the accuracy of a predictive model combining self-reported items and risk factors for periodontal disease assessment.
To determine if self-reported data can reliably identify individuals with periodontal disease in epidemiologic settings.

Main Methods:

A detailed questionnaire was administered to 246 subjects.
Responses were compared against periodontal disease history assessed via radiographs.
Multiple regression modeling was employed to build predictive models.

Main Results:

Self-reported tooth mobility was a strong predictor, selected in all models.
Predictive models incorporating age, gender, and smoking showed good discrimination (AUC > 0.80).
High sensitivity and specificity were achieved when assessing periodontal disease history using model-predicted values.

Conclusions:

A combination of self-reported items can effectively ascertain periodontal disease in epidemiologic studies.
This approach offers a practical tool for large-scale population research on periodontal health.