Community Dent Oral Epidemiol
December 2024
Objective: The study aimed to estimate the effect of a periodontal treatment policy that would restrict the receipt of periodontal therapy to no more than once every second year, on the 10-year risk of tooth extraction among Danish adults.
Methods: Data from linked nationwide Danish registers consisted of a random sample of 20 000 50-year-olds who were followed from the beginning of 1990 to the end of 2021. The longitudinal modified treatment policies' causal inference framework was used.
Clinical practice guidelines aim to enhance the quality, equality and consistency of care but often demand more time than is available, rendering adherence impractical and exceeding feasible resources. The 2017 introduction of a new periodontal classification system by the American Academy of Periodontology (AAP) and the European Federation of Periodontology (EFP) sought to refine clinical and epidemiological practices by serving as the basis for clinical practice guidelines and epidemiological investigations around the world. Following this classification, the EFP recommends supportive periodontal care visits every 3-12 months for all periodontitis cases.
View Article and Find Full Text PDFObjective: We investigated the bidirectional relationship between rheumatoid arthritis (RA) and periodontitis and their cross-sectional association using national administrative health care data.
Methods: The sample included 3,308,903 individuals aged 20 to 79 years who resided in Denmark in 2000 and had remained free of RA and periodontitis in the previous 10 years. RA and periodontitis were defined using diagnosis and treatment codes.
Community Dent Oral Epidemiol
December 2024
Community Dent Oral Epidemiol
August 2024
Over the years, several reviews of periodontal risk assessment tools have been published. However, major misunderstandings still prevail in repeated attempts to use these tools for prognostic risk prediction. Here we review the principles of risk prediction and discuss the value and the challenges of using prediction models in periodontology.
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