| Literature DB >> 35160219 |
Adolfo Di Fiore1, Edoardo Stellini1, Michele Basilicata2, Patrizio Bollero2, Carlo Monaco3.
Abstract
BACKGROUND: The purpose of this review is to describe the possible effect of toothbrushing on surface roughness of resin-contained CAD/CAM materials.Entities:
Keywords: CAD/CAM materials; roughness; surface; surface integrity; toothbrushing wear
Year: 2022 PMID: 35160219 PMCID: PMC8836682 DOI: 10.3390/jcm11030767
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Figure 1PRISMA flow chart of screened, withdrawn and included articles through the review process.
Data collection.
| Authors | Year | Study Design | Sample | Toothbrushing Test | Surface Roughness Analysis | Roughness Parameter Measured | Correlation Toothbrushing and Surface Roughness |
|---|---|---|---|---|---|---|---|
| Morman et al. [ | 2013 | In vitro | Lava Ultimate (3M ESPE) | Toothbrush | Profilometer (Form Talysurf S2, Taylor Hobson, England). | Ra (μm) | NO |
| Koizumi et al. [ | 2015 | In vitro | Vita Enamic (Vita Zahnfabrik) | Toothbrush machine | Profilometer (Surfcom 1400A, Tokyo Seimitsu, Tokyo, | Ra (μm) | YES (Cerasmart and Shofu Block) |
| Flury et al. [ | 2016 | In vitro | Paradigm MZ100 (3M ESPE) | Toothbrush machine (Syndicad LR1) | Profilometer (Perthometer S2; Mahr GmbH) | Ra (μm) | YES (Ambarino) |
| Kamonkhantikul et al. [ | 2016 | In vitro | Shofu Block Hc (Shofu) | Toothbrush machine (V-8 Cross Brushing Machine, SABRI Dental) | Profilometer (Talyscan 150, Taylor Hobson, Leicester, | Ra (μm) | YES |
| Schmitt de Andrade et al. [ | 2021 | In vitro | Cerasmart (GC) | Toothbrush machine (MEV2; Odeme Dental Research) | Contact profilometer (MaxSurf XT 20; Mahr). | Ra (μm) | YES |
| Nima et al. [ | 2021 | In vitro | Vita Enamic (Vita Zahnfabrik) | Toothbrush machine (Maquina de Escivaca; Biopdi) | A 3D noncontact laser-scanning microscope (LEXT OLES4000 3D; Olympus). | Rv (μm) | YES |
Risk of bias assessment (ROBINS-I).
| Study | Pre-Intervention | At Intervention | Post-Intervention | Overall Risk of Bias | ||||
|---|---|---|---|---|---|---|---|---|
| Confounding | Selection | Classification of Intervention | Deviation Fromintended Intervention | Missing Data | Measurement of Outcome | Reporting Result | ||
| Morman et al. [ | M | M | L | M | S | M | M | M |
| Koizumi et al. [ | M | L | M | M | S | M | L | M |
| Flury et al. [ | L | L | L | M | L | L | L | L |
| Kamonkhantikul et al. [ | L | M | M | L | L | L | L | L |
| Schmitt de Andrade et al. [ | L | M | L | M | L | L | L | L |
| Nima et al. [ | L | M | M | L | L | L | L | L |
L = “low risk of bias”; M = “moderate risk of bias”; S = “serious risk of bias”; C = “critical risk of bias”.