Can Specular Gloss Measurements Predict the Effectiveness of Finishing/Polishing Protocols in Dental Polymers? A Systematic Review and Linear Mixed-effects Prediction Model

被引:4
作者
de Melo, T. P. [1 ]
Delgado, A. H. S. [1 ,2 ]
Martins, R. [1 ]
Lassila, L. [3 ,4 ]
Garoushi, S. [3 ,4 ]
Caldeira, J. [1 ,5 ]
Azul, A. M. [1 ]
Vallittu, P. [3 ,4 ,6 ]
机构
[1] Ctr Invest Interdisciplinar Egas Moniz CiiEM, Monte De Caparica, Portugal
[2] UCL Eastman Dent Inst, Dept Biomat & Tissue Engn, London, England
[3] Univ Turku, Inst Dent, Dept Biomat Sci, Turku, Finland
[4] Univ Turku, Inst Dent, TCBC, Turku, Finland
[5] Univ Nova Lisboa, Fac Ciencias & Tecnol, UCIBIO & LAQV Requimte, P-2829516 Caparica, Portugal
[6] Div Welf, Turku, Finland
关键词
RESIN-BASED COMPOSITES; SURFACE-ROUGHNESS; POLISHING SYSTEMS; BIOFILM FORMATION; COLOR; TEXTURE; TOPOGRAPHY; RETENTION; ELECTRON; FORCE;
D O I
10.2341/21-027-LIT
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Purpose: The current gold standard measure to assess polishing efficacy is surface roughness (SR) assessed in laboratory research. Specular gloss (SG) has been negatively correlated to SR, which raises the following question: Can SG be used to accurately determine the effectiveness of a finishing/polishing procedure in direct resin composites? Methods: A systematic approach and search strategy, following Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines, was developed and conducted in five electronic databases: PubMed/Medline, Scopus, Web of Science, EMBASE (Ovid), and SciELO/LILACS to identify laboratory studies that assessed SR and SG, simultaneously, of resin composites, without date or language restriction. Risk of bias assessment was carried out by two reviewers, independently. From the extracted quantitative data of SG/SR, regression analyses were performed, and a linear mixed-effects prediction model was derived using the nimble package in R (v4.0.3). Results: A total of 928 potential studies were found, out of which, 13 were eligible after criterion screening. Experimental groups featured 31 resin composites of six different filler types, with the most common being microhybrids followed by nanohybrids. More than half of the studies initially reported a linear correlation between SR and SG, which ranged from r(2) = 0.34-0.96. Taking into account the regression analysis and prediction model posteriorly performed, the corresponding SG threshold for 0.2 mu m is estimated to be >55 GU. Most of the evidence was classified as moderate or high risk of bias. Conclusion: SG is universally correlated to SR in polymers, and a reference value of >55 GU is proposed, above which samples are considered well polished.
引用
收藏
页码:E131 / E151
页数:21
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