Evidence map›Paper›PMID 36614687›Full record

ArticleMaterials (Basel, Switzerland)2022

Tests of Dental Properties of Composite Materials Containing Nanohybrid Filler.

Jarosław Zubrzycki, Tomasz Klepka, Magdalena Marchewka, Robert Zubrzycki

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Jarosław ZubrzyckiDepartment of Computerization and Robotization of Production, Lublin University of Technology, 20-618 Lublin, Poland.ORCID 0000-0002-7454-8090
Tomasz KlepkaDepartment of Technology and Polymer Processing, Lublin University of Technology, 20-618 Lublin, Poland.ORCID 0000-0001-9182-0845
Magdalena MarchewkaDepartment of Computerization and Robotization of Production, Lublin University of Technology, 20-618 Lublin, Poland.
Robert ZubrzyckiDepartment of Dentistry, Medical University of Lublin, 20-059 Lublin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex composite materials are used in many areas of dentistry. Initially, chemically hardened materials were also used, and in this group nanohybrid composites are highly valued. They are often used today, mainly for the direct reconstruction of damaged hard tooth tissue materials for rebuilding damaged tissues using indirect adhesive techniques. The research was conducted to determine the mechanical properties of materials with nanofillers. The article focuses on methods of important test methods for dental prosthetics: resilience, abrasion, wear test, impact strength, hardness, SEM, and chemical analysis. As part of this work, five different series of hybrid composites with nano-fillers were tested. The mechanical properties of composites, such as compressive strength, microhardness, flexural strength, and modulus of elasticity, depend mainly on the type, particle size, and amount of filler introduced. The obtained test results showed that the type and amount of nanofiller have a significant influence on the mechanical and tribological properties. The introduction of nanofillers allowed us to obtain higher mechanical properties compared to classic materials discussed by other researchers. The study observed a change in vibrations in the IR spectrum, which allowed a comparison of the organic structures of the studied preparations.

Indexed as

composite materialsdental implantsIR spectrumnanohybrid fillertribotester

Identifiers

PMID36614687
PMCPMC9821974

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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.