Evidence map›Paper›PMID 37819468›Full record

ArticleOdontology2024

Bacterial adhesion to composite resins produced by additive and subtractive manufacturing.

Nazire Esra Ozer, Zeynep Sahin, Cansu Yikici, Serhat Duyan, Mehmet Ali Kilicarslan

Abstract read
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In one paragraph

Article in Odontology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. 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

5 authors.

Nazire Esra OzerDepartment of Prosthodontics, Faculty of Dentistry, Lokman Hekim University, Söğütözü. 2179 St., 06510, Çankaya, Ankara, Turkey. eses_0587@hotmail.com.ORCID http://orcid.org/0000-0003-3917-7383
Zeynep SahinDepartment of Prosthodontics, Faculty of Dentistry, Lokman Hekim University, Söğütözü. 2179 St., 06510, Çankaya, Ankara, Turkey.ORCID http://orcid.org/0000-0003-2459-2912
Cansu YikiciDepartment of Restorative Dentistry, Faculty of Dentistry, Lokman Hekim University, Çankaya, Ankara, Turkey.ORCID http://orcid.org/0000-0001-8855-7417
Serhat DuyanDepartment of Medical Microbiology, Department of Microbiology, University of Health Sciences, Gülhane Training and Research Hospital, Etlik, Ankara, Turkey.ORCID http://orcid.org/0000-0002-3097-6317
Mehmet Ali KilicarslanDepartment of Prosthodontics, Faculty of Dentistry, Ankara University, Yenimahalle, Ankara, Turkey.ORCID http://orcid.org/0000-0002-8619-957X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the surface roughness and contact angle of composite resins produced by CAD/CAM milling and three-dimensional (3D) printing for permanent restorations as well as the adhesion of S. mutans and S. sanguinis bacteria to these composites. Three CAD/CAM milling composite resins (Vita Enamic-VE, Cerasmart-CE, Lava Ultimate-LU) and three 3D printing resins (Varseo Smile Crown plus-VSC, Saremco print Crowntech-SPC, Formlabs 3B Permanent crown-FLP) were selected. Twenty samples were prepared for each group. Using a contact profilometer, the surface roughness was determined, and an optical goniometer was used to quantify the contact angle. To evaluate the bacterial adhesion, composite specimens were immersed in mucin containing artificial saliva. All samples were incubated for 24 h at 37°C in 5% CO

Indexed as

Bacterial AdhesionComposite ResinsCeramicsComputer-Aided DesignMaterials TestingPrinting, Three-DimensionalSurface PropertiesComposite Resins3D printingBacterial adhesionCAD/CAM millingComposite ResinsSurface roughness

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.