Acupuncture Point Selection Patterns for Chemotherapy-Induced Nausea and Vomiting: A Data Mining Analysis.

IF 1.1 4区 医学 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE
Complementary Medicine Research Pub Date : 2024-01-01 Epub Date: 2024-05-06 DOI:10.1159/000538839
Zi Ke, Hongruyu Chen, Yong Zhao, Jixian Ke, Youqiong Xie, Runxin Zeng, Yini Hua, Zhihao Xiong, Xuanxuan Wang
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引用次数: 0

Abstract

Introduction: Chemotherapy-induced nausea and vomiting (CINV) significantly impacts the quality of life of cancer patients undergoing treatment, often leading to treatment interruptions and compromised adherence to therapy. Our objective was to identify patterns for selecting the optimal acupoints and explore the treatment principles behind forming effective acupoint combinations for CINV.

Methods: Clinical trials were retrieved from eight databases. Descriptive statistics analysis was performed, followed by association rule mining, network analysis, hierarchical cluster analysis, and correlation analysis, all implemented with R software.

Results: In summary, this study investigated the potential acupoints and combinations for CINV treatment in 104 published controlled clinical trials and randomized controlled trials. 104 prescriptions involving 48 acupoints were extracted. ST36, PC6, CV12, SP4, LI4, and ST25 appeared to be the most frequently used acupoints for CINV. Stomach Meridian, Conception Vessel (Renmai), and Pericardium Meridian were the most common selected meridians. The lower limbs, chest, and abdomen appeared as the predominant sites for acupoint selection. Co-occurrence network analysis indicated that ST36, PC6, and CV12 were central key node acupoints. The clustering analysis displayed the treatment principle of "harmonizing the stomach, stopping vomiting, and descending counterflow." Association rule mining revealed that the combination of CV4, CV12, ST36, CV6, and PC6 emerged as the optimal acupoint combination for effectively treating CINV.

Conclusion: Overall, our research provides evidence-based optimal acupuncture prescription for acupuncturists to treat CINV and presents a complementary therapy for chemotherapy physicians as well as patients to address CINV symptoms.

化疗所致恶心呕吐的穴位选择模式:数据挖掘分析
简介化疗引起的恶心和呕吐(CINV)严重影响接受治疗的癌症患者的生活质量,往往导致治疗中断和治疗依从性受损。我们的目标是找出选择最佳穴位的模式,并探索形成有效穴位组合治疗 CINV 的治疗原则:方法:从八个数据库中检索临床试验。方法:从 8 个数据库中检索临床试验,进行描述性统计分析,然后用 R 软件进行关联规则挖掘、网络分析、层次聚类分析和相关性分析:综上所述,本研究调查了 104 项已发表的临床对照试验和随机对照试验中治疗 CINV 的潜在穴位和组合。提取了涉及 48 个穴位的 104 个处方。ST36、PC6、CV12、SP4、LI4 和 ST25 似乎是治疗 CINV 最常用的穴位。胃经、督脉(任脉)和心包经是最常被选取的经络。下肢、胸部和腹部是穴位选择的主要部位。共现网络分析显示,ST36、PC6 和 CV12 是中心关键节点穴位。聚类分析显示了 "和胃、止呕、降逆 "的治疗原则。关联规则挖掘显示,CV4、CV12、ST36、CV6 和 PC6 的组合是有效治疗 CINV 的最佳穴位组合:总之,我们的研究为针灸师治疗 CINV 提供了以证据为基础的最佳针灸处方,并为化疗医生和患者解决 CINV 症状提供了一种辅助疗法。
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来源期刊
Complementary Medicine Research
Complementary Medicine Research Medicine-Complementary and Alternative Medicine
CiteScore
2.90
自引率
5.60%
发文量
50
期刊介绍: Aims and Scope ''Complementary Medicine Research'' is an international journal that aims to bridge the gap between conventional medicine and complementary/alternative medicine (CAM) on a sound scientific basis, promoting their mutual integration. Accordingly, experts of both conventional medicine and CAM medicine cooperate on the journal‘s editorial board, which accepts papers only after a rigorous peer-review process in order to maintain a high standard of scientific quality. Spectrum of ''Complementary Medicine Research'': - Review and Original Articles, Case Reports and Essays regarding complementary practice and methods - Journal Club: Analysis and discussion of internationally published articles in complementary medicine - Editorials of leading experts in complementary medicine - Questions of complementary patient-centered care - Education in complementary medicine - Reports on important meetings and conferences - Society Bulletins of Schweizerische Medizinische Gesellschaft für Phytotherapie (SMGP) and Deutsche Gesellschaft für Naturheilkunde Bibliographic Details Complementary Medicine Research Journal Abbreviation: Complement Med Res ISSN: 2504-2092 (Print) e-ISSN: 2504-2106 (Online) DOI: 10.1159/issn.2504-2092 www.karger.com/CMR
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