Evidence map›Paper›PMID 40413442›Full record

ArticleBMC oral health2025

Evaluating the effect of surface treatments and adhesive systems on shear bond strength and microleakage in 3D permanent resin denture bases.

Emel Arslan, Hatice Sevmez, Merve Hatice Arslan

Abstract read
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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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

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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.

Emel ArslanDepartment of Prosthodontics, Bolu Abant Izzet Baysal University, Faculty of Dentistry, Gölköy Campus, 14030 Centre, Bolu, Turkey. emel.arslan08@outlook.com.ORCID http://orcid.org/0000-0002-9319-5972
Hatice SevmezDepartment of Prosthodontics, Bolu Abant Izzet Baysal University, Faculty of Dentistry, Gölköy Campus, 14030 Centre, Bolu, Turkey.ORCID http://orcid.org/0000-0003-3637-3784
Merve Hatice ArslanSTM Defense Technologies Engineering and Trade Inc, Ankara, Turkey.ORCID http://orcid.org/0009-0004-3978-3257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to evaluate and compare microleakage and bond strength values resulting from various surface treatments and adhesive system processes applied to different resin materials.

methods270 samples of two different 3D resin materials (Saremco Crowntec-Saremco Denture) were prepared by various surface treatments (control: Group C, hydrofluoric acid application: Group A, tribochemical sandblasting: Group T), adhesive systems (bond: Group B, resin cement: Group R, resin: Group P) (n = 30). Microleakage and bond strength tests were performed, and the data obtained were analyzed by a two-way ANOVA.

resultsThe findings revealed statistically significant differences among the analyzed groups (p < 0.001). While the mean values of microleakage in Group C were the highest (0.15 ± 0.04 mm SIGNIFICANCE: The study found that applying Group A (2.50 ± 1.47 MPa) weakened the bond, while Group T (3.78 ± 2.63 MPa) had lower values than Group C (13.52 ± 1.37 MPa). Among the adhesive systems, bond application showed the best performance. The application of surface treatment decreases bond strength with reduced microleakage. These findings emphasize the importance of selecting appropriate adhesive systems for 3D-printed complete dentures in clinical applications. It shows the best ways for both clinicans and patients to bond in order to meet the mechanical and aesthetic needs that come up with long-term prostheses use.

Indexed as

Dental BondingDental LeakageDental MaterialsDenture BasesResin CementsDental Stress AnalysisHumansMaterials TestingShear StrengthSurface PropertiesDental MaterialsResin Cements3D printerAdhesive systemsDenture base resinMicroleakageSurface treatment

Identifiers

PMID40413442
PMCPMC12102799

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.