Evidence map›Paper›PMID 41832596›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2026

Effect of Argon Plasma and Sandblasting on Bond Strength of PEEK and PEKK to Resin Cement.

Verda Gökçe Çakar, İbrahim Halil Tacir, Zelal Seyfioğlu Polat

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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

1 citing paper in PubMed.

  1. Article
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.

Verda Gökçe ÇakarOral and Dental Health Hospital, Diyarbakır, Turkey.ORCID 0000-0001-6976-5093
İbrahim Halil TacirDepartment of Prosthetic Dentistry, Dicle University, Diyarbakır, Turkey.ORCID 0000-0001-8456-4468
Zelal Seyfioğlu PolatDepartment of Prosthetic Dentistry, Dicle University, Diyarbakır, Turkey.ORCID 0000-0001-5466-7247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This in vitro study evaluated the effect of different surface treatments on the bond strength of polyetheretherketone (PEEK) and polyether-ketone-ketone (PEKK) polymers to resin cement. MATERIAL AND METHODS CAD/CAM-fabricated PEEK and PEKK specimens (7×7×2 mm) were divided into 8 groups (n=10 per group; total n=80), with 4 groups per material: control, argon plasma, sandblasting with 125-µm Al₂O₃, and sandblasting followed by argon plasma. Surface characteristics were analyzed using scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), and atomic force microscopy (AFM). All specimens were treated with a methyl methacrylate-based adhesive (Visio.link) and luted with resin cement (RelyX U200), then stored in air for 1 h. Shear bond strength was measured using a universal testing machine. Data were analyzed using Kolmogorov-Smirnov, Levene, one-way ANOVA, Bonferroni, and independent t tests (alpha=0.05).   RESULTS Surface treatment significantly affected bond strength (P<0.05). The highest bond strengths for both polymers were achieved with sandblasting followed by argon plasma treatment. Although PEKK showed slightly higher bond strengths than PEEK, the difference was not statistically significant (P>0.05). The lowest bond strengths were observed in the control groups (PEEK: 7.1±0.6 MPa; PEKK: 7.6±1.2 MPa), while the highest values were recorded after combined sandblasting and argon plasma treatment (PEEK: 12.2±2.4 MPa; PEKK: 12.6±2.4 MPa).   CONCLUSIONS Surface treatment significantly influences the bond strength of PEEK and PEKK to resin cement. Argon plasma application after sandblasting markedly enhanced shear bond strength for both materials.

Indexed as

ArgonKetonesPolyethylene GlycolsResin CementsBenzophenonesMaterials TestingMicroscopy, Atomic ForceMicroscopy, Electron, ScanningPlasma GasesPolyether CompoundsPolymersShear StrengthSurface PropertiesArgonBenzophenonesKetonesPlasma GasesPolyether CompoundspolyetheretherketonePolyethylene GlycolsPolymersResin Cements

Identifiers

PMID41832596
PMCPMC13001524

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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.