Evidence map›Paper›PMID 40718199›Full record

ArticleCureus2025

Brushing With Charcoal Toothpastes on the Surface Properties of a Giomer: A Comparative In-Vitro Study.

Shivaughn Marchan, Kelee Bascombe, Amrita Rajhbeharrysingh

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Shivaughn MarchanDentistry, The University of the West Indies, St. Augustine, TTO.
Kelee BascombeRestorative Dentistry, The University of the West Indies, St. Augustine, TTO.
Amrita RajhbeharrysinghRestorative Dentistry, The University of the West Indies, St. Augustine, TTO.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective This study aimed to quantify changes in the microhardness (VHN) and roughness (Ra) in three esthetic restorative materials: a giomer, a universal nano-hybrid, and a nano-filled composite after one and six months of simulated brushing with various types of charcoal-containing toothpastes. Materials and methods Forty specimens (8 mm x 8 mm x 2mm) of each material were fabricated using the manufacturer's instructions and randomized into five groups. Baseline VHN and Ra readings were taken. Simulated brushing took place with four charcoal-containing toothpastes. A non-charcoal-containing toothpaste was used as a positive control. VHN and Ra were then measured after one month and six months of simulated brushing. Statistical analysis was performed using a two-way repeated-measure ANOVA to assess whether the factors of time, toothpaste, or the interaction produced significant changes in VHN and Ra. Post-hoc Bonferroni tests were used for pairwise comparisons of material properties brushed with the various toothpastes. Results All tested materials demonstrated a general trend of increasing microhardness and decreasing roughness, or roughness that was not statistically significant from baseline. Interaction of time*toothpaste produced statistically significantly higher microhardness values for the giomer (p=0.003) and nanohybrid (p=0.023) materials. The roughness of the nanofilled material was significantly lower than baseline, with the interaction of time*toothpaste (p=0.014). Conclusion The factors of time, toothpaste, or the interaction of time and toothpaste produced significantly different Ra and VHN values; however, variations in the properties were deemed favorable.

Indexed as

charcoal-containing toothpastesgiomermicrohardnessnano-compositessurface roughness

Identifiers

PMID40718199
PMCPMC12296920

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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.