Evidence map›Paper›PMID 42870261›Full record

ArticleBMC oral health2026

Comparative volumetric wear of occlusal splint materials under simulated gastric acid and artificial saliva conditions.

Kübra Yıldız Domaniç, Begüm Giritlioğlu Öztürk, Muzaffer Ateş

Abstract readComparative Study
In one paragraph

Article in BMC oral health, 2026. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Kübra Yıldız DomaniçDepartment of Prosthodontics, Faculty of Dentistry, Istanbul Atlas University, Istanbul, Türkiye. kubra.domanic@atlas.edu.tr.
Begüm Giritlioğlu ÖztürkDepartment of Prosthodontics, Faculty of Dentistry, Istanbul Medipol University, Istanbul, Türkiye.
Muzaffer AteşDepartment of Prosthodontics, Faculty of Dentistry, Istanbul Medipol University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWear of occlusal splint materials may alter appliance geometry and occlusal relationships during use. This in vitro study evaluated the volumetric material loss of four commercially available occlusal splint materials differing in polymer composition and manufacturing technology after mechanical loading in artificial saliva and simulated gastric acid.

methodsA total of 128 specimens were prepared from two digital light processing (DLP)-printed PMMA-based resins (Detax Freeprint Splint and Armarez), one CAD/CAM-milled PEEK material (PEEK Biosolution), and one conventionally injection-molded polyamide material (Cool&Flex). The specimens were allocated to artificial saliva or simulated gastric acid and subjected to either 30,000 or 120,000 chewing cycles. Baseline and post-simulation stereolithography datasets were superimposed, and volumetric material loss was calculated in mm³. The effects of material, storage medium, chewing-cycle number, and their interactions were evaluated using robust factorial ANOVA based on 20% trimmed means.

resultsVolumetric material loss was significantly associated with material (p < 0.001, partial η² = 0.881), chewing-cycle number (p = 0.001, partial η² = 0.626), and the material × chewing-cycle interaction (p = 0.001, partial η² = 0.752). The main effect of storage medium was not statistically significant (p = 0.054). When values were pooled across both storage media and chewing-cycle conditions, Cool&Flex showed the greatest volumetric material loss (20% trimmed mean ± SE: 1.171 ± 0.193 mm³), whereas comparatively low values were observed for PEEK Biosolution (0.079 ± 0.014 mm³) and Armarez (0.087 ± 0.020 mm³).

conclusionsUnder the conditions of this in vitro study, volumetric material loss differed among the tested commercial products and increased with mechanical loading, although the magnitude of this increase varied by material. Storage in simulated gastric acid did not significantly affect volumetric material loss. Because polymer composition and manufacturing method varied simultaneously among the products, their independent effects cannot be distinguished. These findings are limited to the materials and experimental conditions evaluated and should not be interpreted as direct predictions of clinical longevity.

Indexed as

Dental MaterialsGastric AcidOcclusal SplintsSaliva, ArtificialBenzophenonesComputer-Aided DesignHumansKetonesMasticationMaterials TestingNylonsPolyether CompoundsPolyethylene GlycolsPolymersPolymethyl MethacrylatePrinting, Three-DimensionalBenzophenonesDental MaterialsKetonesNylonsPolyether CompoundspolyetheretherketonePolyethylene GlycolsPolymersPolymethyl MethacrylateSaliva, Artificial3D printingCAD/CAMOcclusal splintPEEKSimulated gastric acidVolumetric wear

Identifiers

PMID42870261
PMCPMC13660173

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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.