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The Shear Bond Strength between Milled Denture Base Materials and Artificial Teeth: A Systematic Review
Vladimir Prpic1, Amir Catic1,2, Sonja Kraljevic Simunkovic2,3
1Department of Fixed Prosthodontics, School of Dental Medicine, University of Zagreb, 10000 Zagreb, Croatia.
Dentistry Journal
|March 28, 2023
Summary
Digital denture resins show comparable bond strength to artificial teeth as conventional methods. This systematic review suggests bonding agents maintain adequate strength, though more research with standardized methods is needed.
Area of Science:
- Dental Materials Science
- Biomaterials Engineering
- Prosthodontics
Background:
- Limited data exists on the bond strength between digitally manufactured denture base resins and artificial teeth.
- Previous studies focused on shear bond strength of milled denture bases with various artificial teeth.
Purpose of the Study:
- To systematically review and evaluate existing evidence on the shear bond strength between milled denture base resins and artificial teeth.
- To compare the bond strength of digital (CAD/CAM) versus conventional denture materials.
Main Methods:
- A systematic literature search was performed in PubMed, Scopus, and Web of Science up to June 1, 2022.
- Studies meeting PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were selected based on shear bond strength data.
- Three studies met the inclusion criteria, all exhibiting a moderate risk of bias.
Main Results:
- Two studies found no significant difference in bond strength between heat-polymerized and CAD/CAM (milled) denture base materials.
- One study reported higher bond strength for CAD/CAM (milled) denture base materials.
- Bonding agents were found to provide bond strength comparable to conventional methods.
Conclusions:
- Digitally produced denture base resins, when used with bonding agents, demonstrate bond strength similar to conventional denture base materials.
- Future research should employ larger sample sizes, standardized specimen dimensions, and blinded testing to reduce bias and improve study quality.
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