Analysis of Acupoint Selection and Combination for Gouty Arthritis Treated with Moxibustion Based on Data Mining.

IF 0.8 Q4 INTEGRATIVE & COMPLEMENTARY MEDICINE
Medical Acupuncture Pub Date : 2025-06-11 eCollection Date: 2025-06-01 DOI:10.1089/acu.2023.0122
Jianmei Zhang, Yufeng Xie, Hong Zhou, Qingchan Lin, Jun Li, Zhichun Chang, Hong Tang, Jieting Chen, Yun Chen, Jun Feng
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引用次数: 0

Abstract

Objective: Gout arthritis (GA) is a common inflammatory joint disease that is difficult to cure. Moxibustion, as an important alternative therapy, is widely used. However, the criteria for selecting acupuncture point prescriptions and combinations are unclear. Thus, the study aimed to explore the most effective acupoints and combinations in the treatment of GA through data mining techniques.

Methods: PubMed, Cochrane Library, EMBASE, China National Knowledge Infrastructure, Wanfang, VIP, and China Biomedicine databases were used to screen clinical studies and observations of the efficacy of moxibustion in the treatment of GA. Data on the acupoint prescriptions applied in these studies were collected, and association rule mining analysis and cluster analysis were conducted to summarize the characteristics and patterns of acupoint selection for the treatment of GA with moxibustion.

Results: Sixty-four trials involving 116 groups of prescriptions and 99 acupoints were identified. Zusanli (ST36), Yinlingquan (SP9), Yanglingquan (GB34), Sanyinjiao (SP6), and Xuehai (SP10) were the most commonly used acupoints for GA. The spleen meridian of the foot-taiyin and the stomach meridian of foot-Yangming were the most commonly used meridians. Additionally, most acupoint sites are concentrated in the extremities. Network analysis reveals Gongsun (SP4), Sanyinjiao (SP6), Zusanli (ST36), Yinlingquan (SP9), and Ashi as potentially effective and commonly used acupoints. In the acupoint interconnection network, Ashi and Sanyinjiao (SP6) were potential combinations of acupoints that should be chosen first in GA treatment. Clustering analysis revealed the treatment principle of "invigorating spleen and removing dampness, and relaxing muscles and activating collaterals."

Conclusion: Through data mining analysis of published studies, this study provides valuable information for selecting the most effective acupoints and combinations for clinical moxibustion in the treatment of GA.

基于数据挖掘的艾灸治疗痛风性关节炎取穴组合分析。
目的:痛风关节炎(GA)是一种常见的难以治愈的炎性关节病。艾灸作为一种重要的替代疗法,应用广泛。然而,选择穴位处方和组合的标准尚不明确。因此,本研究旨在通过数据挖掘技术探索治疗GA最有效的穴位和组合。方法:采用PubMed、Cochrane图书馆、EMBASE、中国国家知识基础设施、万方、VIP、中国生物医学数据库,筛选艾灸治疗GA的临床研究和疗效观察。收集研究中使用的穴位处方数据,通过关联规则挖掘分析和聚类分析,总结艾灸治疗GA的取穴特点和规律。结果:共确定64个试验,116组处方,99个穴位。足三里(ST36)、银陵泉(SP9)、阳陵泉(GB34)、三阴角(SP6)和雪海(SP10)是GA最常用的穴位。最常用的经络是足太阴的脾经和足阳明的胃经。此外,大多数穴位都集中在四肢。网络分析显示公孙穴(SP4)、三阴角穴(SP6)、足三里穴(ST36)、银灵泉穴(SP9)、阿石穴是潜在有效且常用的穴位。在穴位互联网络中,阿石与三阴角(SP6)是GA治疗中应优先选择的潜在穴位组合。聚类分析揭示了“健脾祛湿、舒肌活络”的治疗原则。结论:本研究通过对已发表研究的数据挖掘分析,为临床选择治疗GA的最有效穴位和组合提供了有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medical Acupuncture
Medical Acupuncture INTEGRATIVE & COMPLEMENTARY MEDICINE-
CiteScore
1.80
自引率
18.20%
发文量
73
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