*Corresponding Author: Young Joon Cho, Mac Dental Clinic, Dalgubul-daero, Susung-gu, Daegu, S. Korea.

Received: June 24, 2024; Published: July 04, 2024

Abstract

Background: The 2017 classification of periodontitis is a system consisting of 2 vectors, stage and grade, determined by risk and prognostic factors. This study aimed to examine the possibilities and limits of the 2017 classification from the perspective of risk and prognostic factors. This study also explains a third implicit vector—prognosis—which is spontaneously generated by combining the 2 vectors.

Methods: We selected articles through a search of digital databases. We used key words such as “risk factor/prognostic factor and periodontitis.” We utilized a color scale to understand the degree of risk of each factor for tooth loss and periodontitis.

Results: 147 articles were selected. The 2017 classification includes 3 essential patient-related factors and 6 principal tooth-related factors. By analyzing the odds ratio of each parameter using color scale and systematic review, the categories of smoking, diabetes, pocket depth, clinical attachment loss, and furcation involvement were classified adequately to predict the risk/prognosis of periodontitis. However, evidence was insufficient for other factors.

Conclusion: In this analysis of risk and prognostic factors of the 2017 classification, we confirmed that it not only contains most of the essential factors for diagnosis but can also estimate the rate of progression and tooth loss.

Keywords: Periodontitis; Prognosis; Periodontal Risk Factors; Risk Factor; Systematic Review

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Citation

Citation: Young Joon Cho., et al. “Unveiling the 2017 Periodontitis Classification: A Deep Dive into Risk and Prognostic Factors".Acta Scientific Dental Sciences 8.8 (2024): 03-14.

Copyright

Copyright: Young Joon Cho., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.