The Clinical Incorporation of the 2017 Classification of Periodontal Disease Conditions Part II: The Association...

Background The implementation of the new classification system guided clinicians in the best way for disease diagnosis and patient management. The advent of definitions such as clinical gingival health additionally helped in distinguishing between intact and reduced periodontium. The purpose behind introducing new systems was to guide practitioners to improve on managing the requirements of the patients effectively. It also enables professionals to concentrate on clinical practice, and it can be suggested that readers who are concentrating on research make use of the global classification system. In this study, we present a diagnostic approach for periodontal diseases that supports the innovative classification system in relation to gender while remaining compatible with previous guidelines. Aim The present study focuses on the relationship between gender association and the clinical parameters in periodontitis patients that would support the new classification system. Materials and methods This was a retrospective, cross-sectional, observational study consisting of patient data obtained from past patient records who were diagnosed with periodontitis. Results The data analysis results showed that 95% of the population was similarly distributed across the genders in terms of frequency, and there was minimal statistically significant difference between the genders when compared to the clinical parameters. However, there was a statistically significant difference in the specific clinical characteristics, such as recession, which impacted 48.6% of male patients, and the presence of local factors, which affected 43.2% of female patients, in addition to the 59.4% localized involvement of periodontitis. All the data were analyzed using the SPSS software version 20 (IBM SPSS Statistics, Armonk, NY). The chi-square test was used to evaluate the descriptive analysis and frequency tables. Conclusion The addition of correlating clinical parameters with data based on gender had no effect on the new classification system. Meanwhile, it can be used as an adjunct to evaluate the distribution and extent of disease progression among genders.