Introduction of a prediction model to assigning periodontal prognosis based on survival time.

ABSTRACT:

Aims

To develop a prediction model for tooth loss due to periodontal disease (TLPD) in patients following periodontal maintenance (PM), and assess its performance using a multicentre approach.

Material and methods

A multilevel analysis of eleven predictors of TLPD in 500 patients following PM was carried out to calculate the probability of TLPD. This algorithm was applied to three different TLPD samples (369 teeth) gathered retrospectively by nine periodontist, associating several intervals of probability with the corresponding survival time, based on significant differences in the mean survival time. The reproducibility of these associations was assessed in each sample (One-way ANOVA and pairwise comparison with Bonferroni corrections).

Results

The model presented hi

SUBMITTER: Martinez-Canut P 

PROVIDER: S-EPMC5767737 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature