Evidence map›Paper›PMID 39548438›Full record

ArticleBMC oral health2024

Effect of CAD-CAM block thickness and translucency on the polymerization of luting materials.

Bengü Doğu Kaya, Selinsu Öztürk, Ayşe Aslı Şenol, Erkut Kahramanoğlu, Pınar Yılmaz Atalı, Bilge Tarçın

Abstract read
In one paragraph

Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Bengü Doğu KayaFaculty of Dentistry, Department of Restorative Dentistry, Marmara University, Istanbul, Türkiye. bengu.dogu@marmara.edu.tr.ORCID http://orcid.org/0000-0002-3116-2016
Selinsu ÖztürkInstitute of Health Sciences, Department of Restorative Dentistry, Marmara University, Istanbul, Türkiye.ORCID http://orcid.org/0000-0003-0339-7501
Ayşe Aslı ŞenolFaculty of Dentistry, Department of Restorative Dentistry, Marmara University, Istanbul, Türkiye.ORCID http://orcid.org/0000-0003-3542-4877
Erkut KahramanoğluFaculty of Dentistry, Department of Prosthodontics, Marmara University, Istanbul, Türkiye.ORCID http://orcid.org/0000-0002-2583-6627
Pınar Yılmaz AtalıFaculty of Dentistry, Department of Restorative Dentistry, Marmara University, Istanbul, Türkiye.ORCID http://orcid.org/0000-0003-3121-360X
Bilge TarçınFaculty of Dentistry, Department of Restorative Dentistry, Marmara University, Istanbul, Türkiye.ORCID http://orcid.org/0000-0002-9220-8671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis in-vitro study aimed to evaluate the degree of conversion (DC) of dual-cured luting cement (Bifix QM, VOCO) and flowable composite (Grandio Flow, VOCO) under lithium disilicate glass-ceramic (IPS e.max CAD, Ivoclar Vivadent) and hybrid ceramic (Grandio Blocs, VOCO; Cerasmart, GC) CAD-CAM blocks with different thicknesses. MATERIALS AND

methodsContrast ratio (CR), translucency (TP

resultsIt was observed that, as the block thickness increased TP

conclusionThe translucency of the CAD-CAM blocks varies depending on their thickness. However, there was no significant difference in the DC of the luting materials depending on the block thickness. Further studies are needed on the use of flowable resin composites as luting material.

Indexed as

CeramicsComposite ResinsComputer-Aided DesignPolymerizationDental CementsDental PorcelainIn Vitro TechniquesMaterials TestingSpectrophotometrySpectroscopy, Fourier Transform InfraredSurface PropertiesComposite ResinsDental CementsDental PorcelainGlass ceramicsGrandiolithia disilicateCAD-CAM blockDegree of conversionFlowable resin compositeLuting materialTranslucency

Identifiers

PMID39548438
PMCPMC11566408

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.