Evidence map›Paper›PMID 37971540›Full record

ArticleClinical oral investigations2023

Assessment of internal porosities for different placement techniques of bulk-fill resin-based composites: a micro-computed tomography study.

Afnan O Al-Zain, Lina Baeesa, Elaf Jassoma, Maryam A Alghilan, Murooj Hariri, Eman H Ismail, Eliseu A Münchow

Abstract read
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In one paragraph

Article in Clinical oral investigations, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

11 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 6 institutions in 3 countries.

Afnan O Al-ZainRestorative Dentistry Department, King Abdulaziz University Faculty of Dentistry, P.O. Box 80209, 21589, Jeddah, Saudi Arabia. alzain@kau.edu.sa.ORCID http://orcid.org/0000-0002-0413-8387
Lina Baeesa *Orthodontics Department, King Abdulaziz University Faculty of Dentistry, Jeddah, Saudi Arabia.
Elaf Jassoma *Department of Restorative Dentistry, Rutgers School of Dental Medicine, Newark, NJ, USA.ORCID http://orcid.org/0000-0002-5067-9555
Maryam A AlghilanRestorative and Prosthetic Dental Sciences, College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Gaurd Health Affairs, Riyadh, Kingdom of Saudi Arabia.ORCID http://orcid.org/0000-0002-0794-726X
Murooj HaririRestorative Dentistry Department, King Fahad General Hospital, 23325, Jeddah, Saudi Arabia.ORCID http://orcid.org/0009-0001-4727-0425
Eman H IsmailDepartment of Clinical Dental Sciences, College of Dentistry, Princess Nourah bint Abdulrahman University, 11671, Riyadh, Saudi Arabia.ORCID http://orcid.org/0000-0003-1539-798X
Eliseu A MünchowDepartment of Conservative Dentistry, School of Dentistry, Federal University of Rio Grande Do Sul, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0002-6925-0097
King Abdulaziz University · SAKing Fahad Hospital Jeddah · SAKing Saud bin Abdulaziz University for Health Sciences · SAPrincess Nourah bint Abdulrahman University · SARutgers, The State University of New Jersey · USUniversidade Federal do Rio Grande do Sul · BR

Funding

Princess Nourah Bint Abdulrahman University PNURSP2023R350
6 · The paper itself

Abstract

objectivesThe aim was to compare the porosity of different bulk-fill resin-based composites (RBCs) placement techniques to the conventional incremental technique using microcomputed tomography (μ-CT). MATERIAL AND

methodsOcclusal cavities were prepared on extracted human molars, divided into five groups based on the placement technique (n = 10/group). Techniques examined were Monoblock-two-step (SureFil SDR flow + Ceram.X), Monoblock-two-step (Tetric EvoFlow Bulk-Fill + Tetric EvoCeram Bulk-Fill), Monoblock-one-step (Tetric EvoCeram Bulk-Fill), Monoblock with sonic activation (SonicFill2), and incremental technique (Filtek Z250). μ-CT scanning (SkyScan, Bruker, Belgium) assessed the number, volume of closed pores, and total porosity. Analysis of variance on ranks was used (Student-Newman-Keuls method and Mann-Whitney rank-sum test), to determine the significance of RBC viscosity and the sonication placement technique. The Spearman correlation method assessed the correlation between porosity characteristics (α = 0.05).

resultsThe SonicFill2 presented a higher number of closed pores than the other groups (p < 0.05). The overall porosity within the restoration seemed greater in this order: Filtek Z250 > SonicFill2 > Tetric EvoFlow Bulk-Fill + Tetric EvoCeram Bulk-Fill > Tetric EvoCeram Bulk-Fill > SureFil SDR Flow + Ceram.X. Sonication was associated with increased number (p = 0.005) and volume (p = 0.036) of closed pores. A strong correlation was observed between the number and volume of closed pores (R

conclusionsThe monoblock technique with sonic activation showed significantly more internal porosity than the other placement techniques. Sonication during application contributed to the higher number and volume of closed pores than the passive bulk-fill application. CLINICAL RELEVANCE: Using bulk-fill materials enhances efficiency, yet void formation remains an issue, depending on viscosity and active/passive delivery of materials. Clinicians must familiarize themselves with effective placement techniques to reduce void formation and optimizing treatment outcomes.

Indexed as

Composite ResinsDental MaterialsDental Restoration, PermanentHumansMaterials TestingPorosityViscosityX-Ray MicrotomographyComposite ResinsDental Materials3D analysisBulk fillMicro-CTPlacement techniquePorosityResin compositeVoids

Identifiers

PMID37971540
OpenAlexW4388727949

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.