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Using Dental Register Information and Questionnaire Data to Assess Periodontitis in Large Cohort Studies.
Peter Persson1,2, Magnus Bladh3, Stanley Teleka1
1Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Journal of Clinical Periodontology
|August 19, 2025
Summary
Register data effectively identifies severe periodontitis in large studies. This advances periodontal research by providing reliable proxy variables for periodontitis case identification.
Area of Science:
- Dental Research
- Periodontology
- Public Health
Background:
- Periodontitis research is limited by the need for extensive clinical data.
- Proxy variables are crucial for expanding large-scale cohort studies on periodontitis.
- Validating existing data sources is essential for accurate epidemiological research.
Purpose of the Study:
- To assess the accuracy of questionnaire items and registry data as proxies for severe periodontitis (Stage III-IV).
- To evaluate the utility of the Dental Health Register (DHR) and Swedish Quality Register for Caries and Periodontal Disease (SKaPa) for periodontitis research.
- To determine if combining questionnaire data with demographic factors improves periodontitis identification.
Main Methods:
- Utilized data from 995 participants in the Malmö Offspring Dental Study (MODS).
- Compared periodontal examinations and panoramic radiography with questionnaire responses, DHR periodontal treatment procedures (PTP), and SKaPa probing depth data.
- Defined Stage III-IV periodontitis as the reference standard for proxy validation.
Main Results:
- The DHR PTP proxy demonstrated high positive predictive value (88%) and negative predictive value (87%) for Stage III-IV periodontitis.
- The SKaPa proxy showed lower positive predictive values (<70%) but comparable area under the curve (AUC) to DHR data (0.76 vs. 0.74).
- Questionnaire data combined with age, sex, smoking, and education achieved good discriminatory ability (AUC >0.75).
Conclusions:
- Register-based data, particularly from the DHR, are effective for identifying severe periodontitis cases in large cohorts.
- These validated proxy variables significantly enhance the potential for large-scale periodontal research.
- The findings support the use of routinely collected dental data for epidemiological studies.
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