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Review
. 2019 Jul;46(7):699-712.
doi: 10.1111/jcpe.13118. Epub 2019 May 28.

Predictors for tooth loss in periodontitis patients: Systematic review and meta-analysis

Omar Helal  1 , Gerd Göstemeyer  1 , Joachim Krois  1 , Karim Fawzy El Sayed  2   3 , Christian Graetz  2 , Falk Schwendicke  1
Affiliations
Review

Predictors for tooth loss in periodontitis patients: Systematic review and meta-analysis

Omar Helal et al. J Clin Periodontol. 2019 Jul.

Abstract

Aim: A range of predictors for tooth loss in periodontitis patients have been reported. We performed a systematic review and meta-analysis to assess the consistency and magnitude of any association between a total of 12 predictors and tooth loss.

Materials and methods: Medline/Embase/Central were searched for longitudinal studies investigating the association between predictors and tooth loss in periodontitis patients. Random-effects meta-analysis was performed, and study quality assessed.

Results: Twenty studies (15,422 patients, mean follow-up: 12 years) were included. The mean annual tooth loss/patient was 0.12 (min./max: 0.01/0.36). Older patients (n = 8 studies; OR: 1.05, 95% CI: 1.03-1.08/year), non-compliant ones (n = 11; 1.51, 1.06-2.16), diabetics (n = 7; 1.80, 1.26-2.57), those with IL-1-polymorphism (n = 3; 1.80; 1.29-2.52) and smokers (n = 15; 1.98, 1.58-2.48) had a significantly higher risk of tooth loss. Teeth with bone loss (n = 3; 1.04, 1.03-1.05/%), high probing pocket depth (n = 6; 3.19, 1.70-5.98), mobility (n = 4; 3.71, 1.65-8.38) and molars (n = 4; 4.22, 2.12-8.39), especially with furcation involvement (n = 5; 2.68, 1.75-4.08) also showed higher risks. Gender (n = 16; 0.95, 0.86-1.05) and endodontic affection (n = 3; 3.62, 0.99-13.2) were not significantly associated with tooth loss.

Conclusions: Older, non-compliant, smoking or diabetic patients, and teeth with bone loss, high probing pocket depth, mobility, or molars, especially with furcation involvement showed higher risks of tooth loss.

Keywords: periodontal therapy; periodontitis; prediction; risk model; tooth loss.

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