Literature DB >> 30412718

Tooth loss after periodontal treatment-Mining an insurance database.

Michael Raedel1, Heinz-Werner Priess2, Steffen Bohm3, Barbara Noack4, Yvonne Wagner5, Michael H Walter6.   

Abstract

OBJECTIVES: The aim of this study was to evaluate tooth loss after periodontal treatment.
METHODS: The data was collected from the digital database of a major German national health insurance company. Periodontal treatment was the intervention in the treatment group. Kaplan-Meier survival analyses on the patient level with the primary outcome extraction were carried out over four years. A control group without treatment was matched and analysed. Differences were tested with the Log-Rank-test. Extraction incidences were calculated over a matched observation period six years before and four years after treatment for both treatment and control group.
RESULTS: A total of 415,718 periodontal treatments could be traced. Focussing on the outcome "extraction", the cumulative four-year survival rate was 63.8% after periodontal treatment. The matched control group without periodontal treatment showed a survival rate of 72.5%. These differences were significant (p < 0.0001). The extraction incidence over time was higher in a four-year period after periodontal treatment compared to a six-year period before periodontal treatment.
CONCLUSIONS: The outcome of periodontal treatment was acceptable. In about two thirds of the patients, extractions could be completely avoided within a four year period after treatment. CLINICAL SIGNIFICANCE STATEMENT: This study within the German national health insurance system shows that extractions were not observed after periodontal treatment in the majority of cases. Although periodontitis is a chronic disease, patients suffering from periodontitis have a considerable chance to prevent further tooth loss.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dental scaling; Extraction; Periodontics; Re-intervention; Treatment outcome

Mesh:

Year:  2018        PMID: 30412718     DOI: 10.1016/j.jdent.2018.11.001

Source DB:  PubMed          Journal:  J Dent        ISSN: 0300-5712            Impact factor:   4.379


  4 in total

1.  Routine Data Analyses for Estimating the Caries Treatment Experience of Children.

Authors:  Michael Raedel; Yvonne Wagner; Heinz-Werner Priess; Stefanie Samietz; Steffen Bohm; Michael H Walter
Journal:  Caries Res       Date:  2021-06-29       Impact factor: 4.056

2.  Effect of periodontal treatment on the glomerular filtration rate, reduction of inflammatory markers and mortality in patients with chronic kidney disease: A systematic review.

Authors:  Théo Delbove; François Gueyffier; Laurent Juillard; Emilie Kalbacher; Delphine Maucort-Boulch; Patrice Nony; Brigitte Grosgogeat; Kerstin Gritsch
Journal:  PLoS One       Date:  2021-01-22       Impact factor: 3.240

3.  Massive data analyses show negative impact of type 1 and 2 diabetes on the outcome of periodontal treatment.

Authors:  Michael Raedel; Barbara Noack; Heinz-Werner Priess; Steffen Bohm; Michael H Walter
Journal:  Clin Oral Investig       Date:  2020-08-20       Impact factor: 3.573

4.  Use of digital periodontal data to compare periodontal treatment outcomes in a practice-based research network (PBRN): a proof of concept.

Authors:  Stefanie Anna Peikert; Felix Mittelhamm; Eberhard Frisch; Kirstin Vach; Petra Ratka-Krüger; Johan Peter Woelber
Journal:  BMC Oral Health       Date:  2020-10-28       Impact factor: 2.757

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.