Evidence map›Paper›PMID 34909421›Full record

ArticleRestorative dentistry & endodontics2021

Porosity and pore size distribution in high-viscosity and conventional glass ionomer cements: a micro-computed tomography study.

Aline Borburema Neves, Laísa Inara Gracindo Lopes, Tamiris Gomes Bergstrom, Aline Saddock Sá da Silva, Ricardo Tadeu Lopes, Aline de Almeida Neves

Abstract read
In one paragraph

Article in Restorative dentistry & endodontics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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.

Aline Borburema NevesDepartment of Pediatric Dentistry and Orthodontics, Universidade Federal do Rio de Janeiro - UFRJ, School of Dentistry, Rio de Janeiro, RJ, Brazil.ORCID https://orcid.org/0000-0002-0879-9035
Laísa Inara Gracindo LopesDepartment of Pediatric Dentistry and Orthodontics, Universidade Federal do Rio de Janeiro - UFRJ, School of Dentistry, Rio de Janeiro, RJ, Brazil.ORCID https://orcid.org/0000-0002-1711-0850
Tamiris Gomes BergstromDepartment of Pediatric Dentistry and Orthodontics, Universidade Federal do Rio de Janeiro - UFRJ, School of Dentistry, Rio de Janeiro, RJ, Brazil.ORCID https://orcid.org/0000-0002-5301-8525
Aline Saddock Sá da SilvaLaboratory of Nuclear Instrumentation, Universidade Federal do Rio de Janeiro - UFRJ, Rio de Janeiro, RJ, Brazil.ORCID https://orcid.org/0000-0001-5940-2109
Ricardo Tadeu LopesLaboratory of Nuclear Instrumentation, Universidade Federal do Rio de Janeiro - UFRJ, Rio de Janeiro, RJ, Brazil.ORCID https://orcid.org/0000-0001-7250-824X
Aline de Almeida NevesDepartment of Pediatric Dentistry and Orthodontics, Universidade Federal do Rio de Janeiro - UFRJ, School of Dentistry, Rio de Janeiro, RJ, Brazil.ORCID https://orcid.org/0000-0002-6049-0588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to compare and evaluate the porosity and pore size distribution of high-viscosity glass ionomer cements (HVGICs) and conventional glass ionomer cements (GICs) using micro-computed tomography (micro-CT). MATERIALS AND

methodsForty cylindrical specimens (

resultsKetac Molar Easymix showed statistically significantly lower total porosity (0.15%) than MaxxionR (0.62%), Riva (0.42%), and Vitro Molar (0.57%). The pore size in all experimental cements was within the small-size range (< 0.01 mm

conclusionsMajor differences in porosity and pore size were identified among the evaluated GICs. Among these, the Ketac Molar Easymix HVGIC showed the lowest porosity and void size.

Indexed as

Glass ionomer cementsPorosityX-ray microtomography

Identifiers

PMID34909421
PMCPMC8636077

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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.