Evidence map›Paper›PMID 34453210›Full record

ArticleClinical oral investigations2022

Influence of artificial aging: mechanical and physicochemical properties of dental composites under static and dynamic compression.

D C Gornig, R Maletz, P Ottl, M Warkentin

Abstract read
In one paragraph

Article in Clinical oral investigations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  10. The potential of salivary albumin to degrade composite resin.Acta odontologica latinoamericana : AOL · 2023
    Article
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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

4 authors.

D C GornigDres. Irina & Thorsten Brandt, Orthodontic Practice, Wiesbaden, Germany. christine.gornig2@uni-rostock.de.
R MaletzDepartment of Material Science and Medical Engineering, Faculty of Mechanical Engineering and Marine Technology, University of Rostock, Rostock, Germany.
P Ottl *Department of Prosthodontics and Material Science, Faculty of Medicine, University of Rostock, Rostock, Germany.
M Warkentin *Department of Material Science and Medical Engineering, Faculty of Mechanical Engineering and Marine Technology, University of Rostock, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the study was to evaluate the influence of filler content, degradation media and time on the mechanical properties of different dental composites after in vitro aging. MATERIALS AND

methodsSpecimens (1 mm

resultsIncorporation of fillers with more than 80 w% leads to significantly better mechanical properties under static and dynamic compression tests and a better water sorption behavior, even after chemical degradation. The influence of degradation media and time is of subordinate importance for chemical degradation.

conclusionAlthough the investigated composites have a similar matrix, they showed different degradation behavior. Since dentine and enamel occur only in small layer thickness, a test specimen geometry with very small dimensions is recommended for direct comparison. Moreover, the use of compression tests to determine the mechanical parameters for the development of structure-compatible and functionally adapted composites makes sense as an additional standard. Clinical relevance Preferential use of highly filled composites for occlusal fillings is recommended.

Indexed as

Composite ResinsDental MaterialsElastic ModulusHardnessMaterials TestingSaliva, ArtificialStress, MechanicalSurface PropertiesComposite ResinsDental MaterialsSaliva, ArtificialArtificial agingDental compositesMechanical and physicochemical propertiesStatic and dynamic compression tests

Identifiers

PMID34453210
PMCPMC8817055

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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.