Peripheral Neuropathy: Epidemiology, Pathophysiology and Management.
Published In: Zagazig University Medical Journal, 2025, v. 31, n. 12. P. 6425 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Abdel-Fatah, Sara Ragab Ibrahim; Elsherbini, Hadeel A.; El-sayed, Sherein F.; Gomaa, Randa Salah 3 of 3
Abstract
The term "peripheral neuropathy" refers to a group of illnesses with various causes. Diabetes, immune-mediated diseases, gene mutations, and exposure to harmful drugs including alcohol and chemotherapy are the most frequent causes. To find curable reasons, a complete workup involving a clinical history and physical, nerve conduction studies, and extensive laboratory testing is necessary. It is frequently not clear how to improve glycaemic control specifically in type-2 diabetes, and diabetic peripheral neuropathy is often not well managed. Investigating the workings and efficacy of current treatments is essential. Major worldwide clinical recommendations suggest a number of symptomatic therapies for the therapy of DPN. Tricyclic antidepressants, serotonin-noradrenaline reuptake inhibitors, and calcium channel-blocking anticonvulsants are examples of first-line treatments. Opioids and topical medications like lidocaine and capsaicin are examples of further therapy. Reviewing the epidemiology, pathophysiology, and current guidelines for the pharmacological management of diabetic peripheral neuropathy (DPN) as well as discussing studies pertinent to the ongoing development of pharmacological recommendations for the treatment of DPN are the goals of this work. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Zagazig University Medical Journal. 2025/12, Vol. 31, Issue 12, p6425
- Document Type:Article
- Subject Area:Anatomy and Physiology
- Publication Date:2025
- ISSN:1110-1431
- DOI:10.21608/ZUMJ.2024.276081.3241
- Accession Number:190881314
- Copyright Statement:Copyright of Zagazig University Medical Journal is the property of Association of Arab Universities and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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