Evidence map›Paper›PMID 36648805›Full record

ArticleBiomimetics (Basel, Switzerland)2023

Mechanical and Biomimetic Characteristics of Bulk-Fill Resin Dental Composites Following Exposure in a Simulated Acidic Oral Environment.

Waheed Murad Dahri, Naresh Kumar, Noorulain Altaf, Waqas Mughal, Muhammad Sohail Zafar

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

5 authors.

Waheed Murad DahriMedical Research Centre, Liaquat University of Medical and Health Sciences, Jamshoro 76090, Pakistan.
Naresh KumarMedical Research Centre, Liaquat University of Medical and Health Sciences, Jamshoro 76090, Pakistan.ORCID 0000-0003-2030-6907
Noorulain AltafDepartment of Science of Dental Materials, Dr. Ishrat Ul Ebad Khan Institute of Oral Health Sciences, Dow University of Health Sciences, Karachi 74200, Pakistan.
Waqas MughalDepartment of Mechanical Engineering, Quaid-e-Awam, University of Engineering, Science and Technology, Nawabshah 67480, Pakistan.
Muhammad Sohail ZafarDepartment of Restorative Dentistry, College of Dentistry, Taibah University, Al Madina 41311, Saudi Arabia.ORCID 0000-0002-5157-7067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last 10 years, various companies have marketed different "bulk-fill" resin dental composites for the restoration of posterior stress-bearing teeth; however, the impact of acidic conditions on these relatively newer materials has not been thoroughly investigated. Therefore, an attempt was made to evaluate the effect of acidic beverages on the mechanical biomimetic characteristics of four bulk-fill and one conventional nanohybrid resin-based dental composites (RBCs). The specimens of each RBC were stored in two acidic beverages namely 'Orange Juice' and 'Coca-Cola', whereas 'dry' and 'distilled water' storage of specimens served as controls. After 1 week of storage, flexural and surface hardness properties of specimens were determined using a universal testing machine and Vickers hardness tester, respectively. In general, the 'Coca-Cola' beverage caused the greatest degradation of flexural strength, flexural modulus, and surface hardness characteristics in all RBCs in contrast to the 'dry', 'distilled water' controls and 'Orange Juice' storage conditions. However, the overall mechanical biomimetic performance of nanohybrid RBCs was relatively better than all other bulk-fill RBCs and may, therefore, be considered a suitable candidate for the restoration of posterior stress-bearing permanent dentition.

Indexed as

acidic beveragesbiomimeticsbulk-fillflexural modulusflexural strengthnanohybridresin-based compositesstorage conditionssurface hardness

Identifiers

PMID36648805
PMCPMC9844310

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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.