Evidence map›Paper›PMID 40713625›Full record

ArticleBMC oral health2025

Effect of minimally invasive posterior veneer Preparation designs on failure load and mode after fatigue (in-vitro study).

Islam Mohamed Mady, Ahmed Safwat El Kady, Moustafa Nabil Aboushelib, Mohamed Hussein A Hussein

Abstract readComparative Study
In one paragraph

Article in BMC oral health, 2025. 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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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Islam Mohamed MadyConservative Dentistry Department, Department of Conservative Dentistry Department, Faculty of Dentistry, Alexandria University, Champolion St., Azarita, Alexandria, 21527, Egypt. islammady9@gmail.com.
Ahmed Safwat El KadyConservative Dentistry Department, Department of Conservative Dentistry Department, Faculty of Dentistry, Alexandria University, Champolion St., Azarita, Alexandria, 21527, Egypt.
Moustafa Nabil AboushelibBiomaterials Department Faculty, Faculty of Dentistry, Alexandria University, Alexandria, 21527, Egypt.
Mohamed Hussein A HusseinConservative Dentistry Department, Department of Conservative Dentistry Department, Faculty of Dentistry, Alexandria University, Alexandria, 21527, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCeramic veneers are a common option for enhancing dental aesthetics by improving tooth form, shade, and function. Preparation design is considered a critical factor in the success of dental veneers, as it influences the failure load and fatigue survival of posterior minimally invasive ceramic veneer restorations. The purpose of the study is to compare the failure load and mode after fatigue among three types of veneer preparation designs for restoring premolars.

methods64 human premolars were equally divided into four groups. Group 1 had a buccal preparation depth of 0.7 mm; Group 2 had an additional reduction of the buccal cusp; Group 3 had a mesio-occluso-distal box with dimensions of 2 mm wide and 3 mm deep. The remaining sound teeth served as the control group. Monolithic lithium disilicate restorations were cemented onto the prepared teeth with adhesive cement and then exposed to dynamic fatigue and thermocycling. Each specimen underwent a single load-to-failure test, and the discrepancy in failure load before and after fatigue was computed.

resultsNo significant differences in initial failure load were observed among the four groups evaluated (p <.075). A significant drop in failure load was observed in all groups after fatigue (P = 0.012). The failure loads of Groups I and II were significantly lower than those of Group III and the control (P < 0.05)." Nevertheless, after fatigue, statistically significant differences were detected (p <.013) as fatigue caused a substantial drop in failure load among all groups.

conclusionsWithin the limitations of this study, fatigue significantly reduced failure load in all groups. Veneer preparation design influenced post-fatigue strength, with more conservative designs showing better resistance. These findings underscore the impact of fatigue on structural integrity and the importance of tooth preparation design on fatigue resilience.

Indexed as

Dental Prosthesis DesignDental Restoration FailureDental VeneersTooth Preparation, ProsthodonticBicuspidDental PorcelainDental Stress AnalysisHumansMaterials TestingStress, MechanicalDental Porcelainlithia disilicateAestheticsCeramic veneerFatigue testMinimally invasive treatmentPremolar

Identifiers

PMID40713625
PMCPMC12297664

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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.