Aim: Periodontal disease (PD) screening models based on a self-reported questionnaire were previously established and externally validated. The aim of the present study is to explore whether the screening models could be modified to improve prediction performance; this methodology is called 'updating'.
Methods: Updating the models for 'total' and 'severe' PD was performed using two datasets.
Int J Environ Res Public Health
October 2023
An important way to manage noncommunicable diseases (NCDs) is to focus on prevention, early detection, and reducing associated risk factors. Risk factors can be detected with simple general health checks, which can also be performed in dental clinics. The purpose of this study was to investigate participants' willingness to participate in general health checks at the dentist, in particular the difference in opinion between medical patients and random healthy dental attendees.
View Article and Find Full Text PDFThere is a worldwide increase in individuals suffering ≥2 chronic diseases (multimorbidity), and the cause of combinations of conditions remains largely unclear. This pilot study analysed the prevalence of periodontal disease (PD) among (multi)-morbid patients at the outpatient clinic of internal medicine. PD is an inflammatory disease of the tooth supporting tissues and has a negative impact on the overall health.
View Article and Find Full Text PDFObjectives: Medical professionals should advise their patients to visit a dentist if necessary. Due to the lack of time and knowledge, screening for periodontitis is often not done. To alleviate this problem, a screening model for total (own teeth/gum health, gum treatment, loose teeth, mouthwash use, and age)/severe periodontitis (gum treatment, loose teeth, tooth appearance, mouthwash use, age, and sex) in a medical care setting was developed in the Academic Center of Dentistry Amsterdam (ACTA) [1].
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