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Network-Based Elaboration of the Efficacy of the Dachangshu (BL25) and Tianshu (ST25) Points in the Treatment of Functional Constipation in Children through Inflammation, Adipocytokine, or Leptin Pathways.基于网络分析阐述大肠俞(BL25)和天枢(ST25)穴通过炎症、脂肪细胞因子或瘦素途径治疗儿童功能性便秘的疗效
Evid Based Complement Alternat Med. 2022 Dec 6;2022:5315927. doi: 10.1155/2022/5315927. eCollection 2022.
3
Diachronic analysis of major acupoints used in ancient and current acupuncture treatments: Changes in main acupoints over time.古代与现代针灸治疗中主要穴位的历时性分析:主要穴位随时间的变化。
Integr Med Res. 2022 Sep;11(3):100865. doi: 10.1016/j.imr.2022.100865. Epub 2022 Apr 14.
4
Characteristics of five-phase acupoints from data mining of randomized controlled clinical trials followed by multidimensional scaling.基于随机对照临床试验数据挖掘并经多维标度法分析的五腧穴特征
Integr Med Res. 2022 Jun;11(2):100829. doi: 10.1016/j.imr.2021.100829. Epub 2021 Dec 22.
5
The Influence of Stomach Back-Shu and Front-Mu Points on Insular Functional Connectivity in Functional Dyspepsia Rat Models.胃俞募穴对功能性消化不良大鼠模型岛叶功能连接的影响
Evid Based Complement Alternat Med. 2021 Sep 14;2021:2771094. doi: 10.1155/2021/2771094. eCollection 2021.
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Lateralization and Bodily Patterns of Segmental Signs and Spontaneous Pain in Acute Visceral Disease: Observational Study.急性内脏疾病中节段性体征和自发性疼痛的偏侧化和身体模式:观察性研究。
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Research Topics and Trends in Interprofessional Education in Nursing: A Text Network Analysis.护理专业间教育的研究主题和趋势:文本网络分析。
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8
Identification of major traditional acupuncture points for pain control using network analysis.运用网络分析确定用于疼痛控制的主要传统穴位
Acupunct Med. 2021 Oct;39(5):553-554. doi: 10.1177/0964528420971309. Epub 2020 Dec 15.
9
Identification of Acupoint Indication from Reverse Inference: Data Mining of Randomized Controlled Clinical Trials.基于反向推理的穴位主治发现:随机对照临床试验的数据挖掘
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10
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以及穴位选择模式:数据挖掘与网络分析

and Acupoint Selection Patterns: Data Mining and Network Analysis.

作者信息

Lee In-Seon, Moon Heeyoung, Yoon Da-Eun, Choi Dha-Hyun, Ryu Yeonhee, Chae Younbyoung

机构信息

Department of Science in Korean Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea.

Department of Meridian and Acupoints, College of Korean Medicine, Semyung University, Jecheon, Republic of Korea.

出版信息

Med Acupunct. 2024 Dec 17;36(6):359-366. doi: 10.1089/acu.2024.0048. eCollection 2024 Dec.

DOI:10.1089/acu.2024.0048
PMID:39712517
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11659448/
Abstract

BACKGROUND

Combinations of and points are widely used to treat internal organ issues in both clinical practice and scientific research. We investigated the selection patterns of and points used in clinical trials. We also conducted a network analysis to identify the most common combinations of these acupoints.

METHODS

Based on 421 clinical studies, the frequencies of the and points were extracted from the Acusynth database. A network analysis was performed to determine the eigenvector centrality, closeness centrality, and betweenness centrality of these acupoint combinations.

RESULTS

points were more frequently used with Fu (hollow) organs, whereas points were more frequently used with Zang (solid) organs. Network analysis revealed that both and points were used together and in combination with major acupoints.

CONCLUSIONS

We demonstrated the acupoint selection patterns and combinations of and points using data mining. These results will aid clinicians in comprehending clinical database-driven and point selection patterns.

摘要

背景

在临床实践和科研中,募穴和俞穴的组合被广泛用于治疗内脏疾病。我们调查了临床试验中募穴和俞穴的选用模式。我们还进行了网络分析,以确定这些穴位最常见的组合。

方法

基于421项临床研究,从Acusynth数据库中提取募穴和俞穴的使用频率。进行网络分析,以确定这些穴位组合的特征向量中心性、接近中心性和中介中心性。

结果

募穴更常用于腑(中空)器官,而俞穴更常用于脏(实体)器官。网络分析显示,募穴和俞穴既会一起使用,也会与主要穴位组合使用。

结论

我们通过数据挖掘展示了募穴和俞穴的穴位选用模式及组合。这些结果将有助于临床医生理解临床数据库驱动的募穴和俞穴选用模式。