Tooth Loss Evolution in a Cohort Study of Type 2 Diabetic Patients (2012 -2016) Shows a Steady High Rate of Tooth Extractions Despite Oral Prevention Measures
Tooth Loss Evolution in a Cohort Study of Type 2 Diabetic Patients (2012 -2016) Shows a Steady High Rate of Tooth Extractions Despite Oral Prevention Measures
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Author Info
Marie-Laurène Mayard-Pons Frédéric Rilliard Anne-Marie Musset Pierre Farge
Corresponding Author
Marie-Laurène Mayard-PonsMedical and Dental department, CPRP SNCF, Paris, France
A B S T R A C T
Aims: To assess tooth loss evolution in a population of type 2 diabetic patients over a 4-year follow up period in regard to their dental and medical follow ups. Methods: Using a national data base of a French population of railways transport workers, we conducted a cohort analysis on the same population of diabetic patients by comparing 2016 data to previously analyzed 2012 results. Evolution of oral health was provided by descriptive analysis of tooth extractions and the frequency of scaling-prophylaxis through descriptive analysis, regarding medical and dental appointments evolution over the time lapse. Results: Tooth extraction rates remain high for the diabetic patients in 2016 compared to the control population. Tooth loss occurs on average in a ten-year older age-range population, than in 2012. Dental appointments and scaling prophylaxis sessions frequencies significantly improved between 2012 and 2016. Conclusion: Over a 4 year-follow up period of time, data analysis of type 2 diabetic patient population shows a steady and high rate of dental extractions. While scaling prophylaxis sessions and dental appointments contribute to delay tooth loss, they failed to treat or eradicate the dental condition of tooth loss in the diabetic patients.
Article Info
Article Type
Research ArticlePublication history
Received: Wed 04, Mar 2020Accepted: Fri 20, Mar 2020
Published: Tue 31, Mar 2020
Copyright
© 2023 Marie-Laurène Mayard-Pons. 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. Hosting by Science Repository.DOI: 10.31487/j.JDMC.2020.01.02