Evidence map›Paper›PMID 41091240›Full record

ArticleThe Saudi dental journal2025

Comparison of different silane primer systems on composite resin bond strength to lithium disilicate ceramics.

Necla Demir, Aybuke Orhan Uner, Sema Nur Ozturk

Abstract read
In one paragraph

Article in The Saudi dental journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

Necla DemirFaculty of Dentistry, Department of Prosthodontics, Selcuk University, Konya, Türkiye.ORCID http://orcid.org/0000-0003-0927-6962
Aybuke Orhan UnerFaculty of Dentistry, Department of Prosthodontics, Selcuk University, Konya, Türkiye.ORCID http://orcid.org/0000-0002-8831-0817
Sema Nur OzturkFaculty of Dentistry, Department of Prosthodontics, Selcuk University, Konya, Türkiye. semanrozturk@gmail.com.ORCID http://orcid.org/0009-0008-9416-903X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to evaluate the effect of different primers applied to HF acid-etched lithium disilicate ceramics on the shear bond strength between ceramic specimens and composite resin after thermal aging. 72 disc specimens with a thickness of 1.5 mm were prepared from three different types of lithium disilicate ceramics: IPS e.max CAD, CEREC Tessera, and GC Initial LiSi Block. The specimens were divided into six groups, with 12 samples in each group. The surfaces were treated with 9.5% HF acid. In Gluma group, Gluma Ceramic Primer and Gluma Bond Universal were applied in sequence. For Compo-B group, a mixture of Ceramica Silane Activator and Nova Compo-B Plus universal adhesive was applied, followed by Nova Compo-B Plus. After composite application, all specimens underwent 5000 thermal cycles. A universal testing machine was used to perform the shear bond strength test. Two-way ANOVA and Tukey HSD tests were conducted to compare MPa values according to the surface treatments. Statistically significant differences were found in shear bond strength values among the different repair systems applied to lithium disilicate ceramics (p < 0.001). The GC Initial ceramic group showed significantly higher bond strength compared to the other groups. The use of different primers significantly affected the shear bond strength of lithium disilicate glass ceramics. The immediate application of silane resulted in higher bond strength values in lithium disilicate ceramics.

Indexed as

AdhesiveBond strengthLithium disilicate ceramicsPorcelain repairSilaneSurface treatment

Identifiers

PMID41091240
PMCPMC12528557

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Registered trials

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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.