Evidence map›Paper›PMID 40652556›Full record

ArticleClinical and experimental dental research2025

Surface Roughness and Wear Behavior of CAD/CAM Ceramics Against Vita Mark II.

Amirhosein Habibnezhad, Gazaleh Ahmadi, Naeeme Naderi

Abstract read
In one paragraph

Article in Clinical and experimental dental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Amirhosein HabibnezhadSchool of Dentistry, Babol University of Medical Sciences, Babol, Mazandaran Province, Iran.
Gazaleh AhmadiSchool of Dentistry, Babol University of Medical Sciences, Babol, Mazandaran Province, Iran.
Naeeme NaderiSchool of Dentistry, Babol University of Medical Sciences, Babol, Mazandaran Province, Iran.ORCID 0000-0001-7066-9859

Funding

This study was supported by the Babol University of Medical Sciences.
6 · The paper itself

Abstract

objectivesThis study aimed to assess the surface roughness (SR) and wear behavior of computer-aided design/computer-aided manufacturing (CAD/CAM) ceramics when compared to a feldspathic ceramic. MATERIAL AND

methodsThis in vitro study was conducted on three groups of CAD/CAM ceramic blocks (n = 10 each): a zirconia-reinforced lithium silicate ceramic, a polymer-infiltrated ceramic network, and a resin nanoceramic. Additionally, 40 feldspathic ceramic blocks and 10 bovine incisors were used as antagonist materials. Surface roughness was measured by profilometry before and after wear testing (49 N, 120,000 cycles, 30 cycles/min). Wear depth was quantified using 3D scanning and image analysis software. Data were analyzed using ANOVA and paired t-tests (α = 0.05).

resultsBefore wear testing, the zirconia-reinforced ceramic showed significantly higher SR than the other groups (p = 0.00). All groups exhibited a significant reduction in SR after testing (p = 0.00). Posttest SR varied significantly between most groups (p < 0.05), except between natural enamel and the resin nanoceramic (p = 0.986). Wear depth differed significantly among the materials (p < 0.001), with natural enamel showing the lowest wear, comparable only to the resin nanoceramic (p > 0.05).

conclusionsAll tested CAD/CAM ceramics underwent substantial wear and SR reduction when opposed by feldspathic ceramic. The resin nanoceramic demonstrated the closest wear behavior to natural enamel and may be the most suitable restorative material for contact with feldspathic ceramics.

Indexed as

CeramicsComputer-Aided DesignDental PorcelainDental Restoration WearAluminum SilicatesAnimalsCattleIn Vitro TechniquesMaterials TestingPotassium CompoundsSurface PropertiesZirconiumAluminum SilicatesDental PorcelainfeldsparPotassium CompoundsVita Mark IIZirconiumzirconium oxideceramicscomputer‐aided designdental restoration wearmechanical tests

Identifiers

PMID40652556
PMCPMC12256082

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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.