Evidence map›Paper›PMID 34987716›Full record

ArticleJournal of clinical and experimental dentistry2021

The effect of staining and bleaching on the color of two different types of composite restoration.

Shatha Kh Hussain, Sarah W Al-Abbasi, Majed-Mohamed Refaat, Abdullah M Hussain

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Article in Journal of clinical and experimental dentistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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3 · Its place in the literature

Who cites it

15 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

4 authors.

Shatha Kh HussainUniversity of Basrah, College of Dentistry, Restorative and Esthetic Dentistry Department, Assistant Lecturer, Basrah, Iraq.
Sarah W Al-AbbasiUniversity of Basrah, College of Dentistry, Preventive dentistry Department, Lecturer, Basrah, Iraq.
Majed-Mohamed RefaatUniversity of Basrah, College of Dentistry, Prosthetic dentistry Department, Lecturer, Basrah, Iraq.
Abdullah M HussainUniversity of Basrah, College of Dentistry, Restorative and Esthetic Dentistry Department, Assistant Lecturer, Basrah, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong term success of composite restorations depends greatly on their color stability and esthetic appearance. This study aimed to assess the effects of commonly consumed beverage and bleaching on the color of composite restoration. MATERIAL AND

methodsTwo resin composite were used Filtek™ Z350 XT (3M/ESPE) and Briliant EverGlow (Coltene). Fifteen discs were made from each resin composite then baseline color measurements were made. The specimens divided into 3 groups (n=5) according to the storage solution. The storage solutions that used in this study are distilled water, tea and coffee. The specimens were stored in the solutions for 3h/day for 40 days and then second color measurements were done. Specimens were bleached by using of 40% H2O2 Opalescence boost. Then the specimens color were measured for the third time. For measuring color change CIE L* a* b* system was used. The results were statistically analyzed using Two-way analysis of variance (ANOVA) and Bonferroni tests. Level of significance was set at

resultsIn all groups there were a significant color change (∆E>3.3). The discs that were made from Filtek™ Z350 XT (3M/ESPE) and immersed in coffee show the highest color change whereas the discs that were made from Briliant EverGlow and stored in distilled water show the least color change. Significant improvements in the color of specimens were demonstrated after bleaching, however bleaching couldn't restore the composite color to clinically acceptable level (∆E<3.3).

conclusionsBoth tested materials were susceptible to staining in the three-staining solution; Filtek™ Z350 XT showed more staining susceptibility than Briliant EverGlow. In office bleaching reverse some of the effect of staining from the surface of the composite but it couldn't restore the composite color to its original color before staining.

Identifiers

PMID34987716
PMCPMC8715564

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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.