Detection, Treatment Planning, and Genetic Predisposition of Bruxism: A Systematic Mapping Process and Network Visualization Technique

Author(s): Md Belal Bin Heyat, Faijan Akhtar, Masood Hasan Khan, Najeeb Ullah, Ijaz Gul, Haroon Khan*, Dakun Lai*

Journal Name: CNS & Neurological Disorders - Drug Targets
Formerly Current Drug Targets - CNS & Neurological Disorders

Volume 20 , Issue 8 , 2021

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Graphical Abstract:


Background: Lack of sleep generates many disorders and bruxism is one of them. It has affected almost 31% of the world population.

Aim: The purpose of this paper is to determine the volume of the research conducted on bruxism and to create a database. We aimed to highlight critical issues for further research commitments and communications. This paper designs a comprehensive and very perception-based picture of bruxism disorder.

Methods: The research-based work uses three methods, including a systematic mapping process, network visualization, and literature review. Softwares, such as VOSviewer, MATLAB, and MEGA- X, have been utilized to analyze the work. We have researched deep insights of information to retrieve the present understanding of bruxism disorder from dental to psychological concepts, from engineering detection to clinical treatment, and from temporomandibular disorder to biological genes.

Results: We found 10 keywords and 77 items of bruxism in PubMed, Scopus, Google Scholar, and Web of Science databases based on previous publications. These keywords and items are helpful for all types of researchers, which include engineering, science, and medical background personals. 11 genes and 75 research articles with approximately 115,077 subjects, for the analysis of detection, treatment, child and adolescent bruxism, have been reviewed in the research work.

Conclusion: It has been found that bruxism altogether has sleep, neurological, dental, and genetic disorder components and is a complex phenomenon. This study has also mentioned the future direction and gap in research conducted so far on bruxism and has also tried to provide goals for the upcoming research to be accomplished in a more significant and scientific manner.

Keywords: Adolescent, bruxism, children, diagnosis, genes, machine learning.

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Article Details

Year: 2021
Published on: 10 November, 2020
Page: [755 - 775]
Pages: 21
DOI: 10.2174/1871527319666201110124954
Price: $65

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