Soft tissue phenotype modification predicts gingival margin long‐term (10‐year) stability: Longitudinal analysis of six randomized clinical trials

• DOI: 10.1111/jcpe.13641
• Publication Date: 2022-05-13T11:59:40Z
• Authors: Shayan Barootchi; Lorenzo Tavelli; Riccardo Di Gianf...; Kerby Shedden; Tae‐Ju Oh; Giulio Rasperini; Rodrigo Neiva; William V. Gianno...; Hom‐Lay Wang
• Keywords: Gingival margin; Akaike information criterion; Hard tissue; Longitudinal Study; Margin (machine learning)

Abstract Aim To assess the prognostic value of soft tissue phenotype modification following root coverage procedures for predicting long‐term (10‐year) behaviour gingival margin. Materials and Methods Participants from six randomized clinical trials on at University Michigan were re‐invited a longitudinal evaluation. Clinical measurements obtained by two calibrated examiners. A data‐driven approach to model selection with Akaike information criterion (AIC) was carried out via multilevel regression analyses partial plotting changes in level margin over time interactions early (6‐month) results phenotypic modification. Results One‐hundred fifty‐seven treated sites 83 patients re‐assessed recall. AIC‐driven demonstrated that 6‐month keratinized width (KTW) thickness (GT) influenced trajectory similarly concave manner; however, GT driving determinant predicted significantly less relapse treatments, stability beyond values 1.46 mm. Conclusions Among compliant patient cohort, irrespective rendered therapy, presence least 1.5 mm KTW correlated