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August 19, 2025Journal Of Clinical PeriodontologyOpen Access

Using Dental Register Information and Questionnaire Data to Assess Periodontitis in Large Cohort Studies

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Authors

PPPeter PerssonMBMagnus BladhSTStanley Teleka

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Overview

Observational analysis reveals strong predictive value of registry data for severe periodontitis in large cohorts, suggesting advancements in periodontal research.

Key Points

  • Positive predictive value for severe periodontitis using Dental Health Register data was 88%, indicating effective identification of cases.
  • Negative predictive value was 87% for the same data, reinforcing its reliability in assessing periodontitis.
  • Questionnaires combined with demographic data showed good discriminatory ability with an area under the curve exceeding 0.75, emphasizing their usefulness.
  • Register-based data can improve identification of severe periodontitis cases, supporting further advancements in periodontal research.

Cite This Study

Persson et al. (2025) studied this question.

synapsesocial.com/papers/68af4953ad7bf08b1ead4fb0https://doi.org/10.1111/jcpe.70015
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