Evidence map›Paper›PMID 42399941›Full record

ArticleBMC oral health2026

Effect of three-body wear on the surface properties of different polymer-based CAD/CAM dental restorative and prosthetic materials.

Abdallah Fawzy Elsadany, Hesham Samy Borg, Enas A Elshenawy

Abstract read
In one paragraph

Article in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Abdallah Fawzy ElsadanyFaculty of Dentistry, Alsalam University, Tanta, Egypt.
Hesham Samy BorgFaculty of Dentistry, Alsalam University, Tanta, Egypt. hesham.borg@sue.edu.eg.ORCID 0000-0002-8722-4845
Enas A ElshenawyFaculty of Dentistry, Tanta University, Tanta, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputer aided designed/ computer aided manufactured (CAD/CAM) materials offer diverse options for prosthetic rehabilitations, yet correlation between materials' surface properties and aging through chewing simulation needs characterization. The aim of this study is to measure and evaluate the effect of three body wear on three CAD/CAM materials (poly methylmethacrylate (PMMA), composite resin and polyether ether ketone (PEEK)) regarding their microhardness and surface roughness.

methodsSeventy-two disc-shaped specimens (20 × 6 mm) were fabricated (n = 24/ group) from PMMA (Yamahachi PMMA Disk), Nano-ceramic Composite (Grandio Blocs, VOCO), and PEEK (BioHPP, Bredent). Specimens were subjected to 120,000 chewing cycles in a chewing simulator using a 3-body wear protocol with a pumice slurry. Wear volume (mm

resultsOne-way ANOVA revealed a significant difference between material types (P = 0.000*), with composite exhibiting the lowest mean volume loss (0.08 mm

conclusionThe 3-body wear simulation induced significantly different volumetric loss across all groups, with the magnitude of loss largely dependent on the material's specific composition and baseline hardness. In addition, the surface roughness and microhardness of three investigated materials were considerably impacted by three-body wear. PMMA have the lowest wear resistance, lowest microhardness, and the greatest surface roughness both before and after wear, while composites with high filler loading and high microhardness have the highest wear resistance followed by PEEK. After wear, the surface roughness of the composite is acceptable.

Indexed as

Computer-Aided DesignDental MaterialsDental Restoration WearBenzophenonesComposite ResinsHardnessHumansKetonesMaterials TestingPolyether CompoundsPolyethylene GlycolsPolymersPolymethyl MethacrylateSurface PropertiesBenzophenonesComposite ResinsDental MaterialsKetonesPolyether CompoundspolyetheretherketonePolyethylene GlycolsPolymersPolymethyl MethacrylateChewing simulatorMicrohardnessSurface roughness, CAD/CAMThree-body wear

Identifiers

PMID42399941
PMCPMC13332591

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.