Background: Myasthenia gravis (MG) is an autoimmune disease that is associated with the production of autoantibodies. The symptoms of MG are mainly mediated by pathogenic antibodies directed against nicotinic acetylcholine receptors, resulting in a decrease in the number of acetylcholine receptors molecules on the postsynaptic membrane of the neuromuscular junction endplate, leading to clinical symptoms of muscle fatigue and weakness. At present, traditional Chinese medicine (TCM) treatment of MG has a better effect by tonifying spleen and replenishing qi. The purpose of this study was to systematically evaluate the efficacy and safety of TCM therapy for tonifying spleen and replenishing qi in the treatment of myasthenia gravis. Methods: We searched the following databases from their establishment until December 2021: PubMed, Cochrane Library, EMBASE, Web of Science, Springer, CNKI, Wanfang, China Biomedical Database, China Science and Technology Journal Database, Chinese Knowledge Infrastructure, China Clinical Trial Registry, and Baidu Scholars. The literature search language was limited to Chinese and English, and publication time and status were not limited. Randomized controlled trials (RCTs) were included. Two researchers independently searched and screened the articles, assessed their quality, and used the RevMan 5.4.1 software to perform a meta-analysis of the included literature. Results: This study compared the main outcome indicators: efficacy rate, recurrence rate, quality of life, and quantitative myasthenia gravis (QMG). Secondary outcome indicators were the clinical absolute score, TCM syndrome score, serum acetylcholine receptor antibody level, and electromyogram low-frequency repetitive nerve stimulation. Conclusion: This study aimed to evaluate whether the TCM method of tonifying spleen and replenishing qi is effective in the treatment of MG and to provide evidence-based data. Ethics and dissemination: The protocol of the systematic review did not require ethical approval because it did not involve human subjects. This article will be published in peer-reviewed journals and will be presented at conferences.
Measurements of graphs and retrieving structural information of complex networks using degree-based network entropy have become an informational theoretical concept. This terminology is extended by the concept of Shannon entropy. In this paper, we introduce entropy with graphs having edge weights which are basically redefined Zagreb indices. Some bounds are calculated to idealize the performance in limiting different kinds of graph entropy. In addition, we discuss the structural complexity of connected graphs representing chemical structures. In this article, we have discussed the edge-weighted graph entropy with fixed number of vertices, with minimum and maximum degree of a vertex, regular graphs, complete graphs, complete bipartite graphs, and graphs associated with chemical structures.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.