Leehoseok Korean Medicine Clinic, 37, Gimpohangang 9-ro 76beon-gil, Gimpo-si, Gyeonggi-do, Republic of Korea.
Chung-Yeon Central Institute, 64, Sangmujungang-ro, Seo-gu, Gwangju, Republic of Korea.
Medicine (Baltimore). 2021 Nov 12;100(45):e27644. doi: 10.1097/MD.0000000000027644.
Peripheral neuropathy (PN) is one of the most common medical problems encountered. Since the pathophysiology and symptom manifestation characteristics of PN are very diverse, it is difficult to provide an appropriate treatment. East Asian herbal medicine (EAHM) has long contributed to the treatment of neurological and pain disorders. The goal of this systematic review is to measure the efficacy and safety of EAHM for PN and to identify core herb patterns. In order to derive a more conservative result, a random effect model will be applied regardless of the significance of heterogeneity.
We will search 10 databases to identify suitable studies. There will be no restrictions regarding language or publication date. Primary outcomes will be nerve conduction velocity and response rate. Secondary outcomes will be any objective tool that can measure the efficacy of EAHM, and adverse events will be included. We will perform a meta-analysis of trials with the same intervention and outcome with comparator in a similar population. Meanwhile, in order to explore significant potential correlation in herb preparation, association rule analysis based on the Apriori algorithm will be performed on the collected composition data of herbal medicines.
This study will provide scientific evidence for the treatment of EAHM for PN.
Based on the results of this review, it is expected that the efficacy and safety of EAHM for PN can be confirmed. In addition, through additional analysis using data mining techniques, it will be possible to present a core herb pattern related to this research topic.
周围神经病变(PN)是最常见的医学问题之一。由于 PN 的病理生理学和症状表现特征非常多样化,因此难以提供适当的治疗。东亚草药(EAHM)长期以来一直用于治疗神经和疼痛障碍。本系统评价的目的是衡量 EAHM 治疗 PN 的疗效和安全性,并确定核心草药模式。为了得出更保守的结果,无论异质性是否具有统计学意义,都将应用随机效应模型。
我们将搜索 10 个数据库以确定合适的研究。语言或出版日期没有限制。主要结局指标将是神经传导速度和反应率。次要结局指标将是任何可以衡量 EAHM 疗效的客观工具,并包括不良事件。我们将对具有相同干预措施和结局且在相似人群中具有可比性的试验进行荟萃分析。同时,为了探索草药制剂中潜在的显著相关性,将对收集到的草药成分数据进行基于 Apriori 算法的关联规则分析。
本研究将为 EAHM 治疗 PN 提供科学证据。
基于本综述的结果,有望证实 EAHM 治疗 PN 的疗效和安全性。此外,通过使用数据挖掘技术进行额外分析,将有可能提出与本研究主题相关的核心草药模式。