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Acupuncture Point Selection Patterns for Chemotherapy-Induced Nausea and Vomiting: A Data Mining Analysis.
Ke, Zi; Chen, Hongruyu; Zhao, Yong; Ke, Jixian; Xie, Youqiong; Zeng, Runxin; Hua, Yini; Xiong, Zhihao; Wang, Xuanxuan.
Afiliação
  • Ke Z; Department of Integrated Chinese and Western Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, katzinkezi@outlook.com.
  • Chen H; Department of Computer Science, ETH Zurich, Zurich, Switzerland.
  • Zhao Y; Department of Rehabilitation, General Hospital of Central Theater Command, Wuhan, China.
  • Ke J; Department of Traditional Chinese Medicine, Renmin Hospital of Wuhan University, Wuhan, China.
  • Xie Y; Department of Integrated Chinese and Western Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zeng R; Department of Integrated Chinese and Western Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Hua Y; Department of Acupuncture and Moxibustion, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
  • Xiong Z; Department of Acupuncture and Moxibustion, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
  • Wang X; Department of Integrated Chinese and Western Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Complement Med Res ; 31(4): 343-358, 2024.
Article em En | MEDLINE | ID: mdl-38710159
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vômito / Pontos de Acupuntura / Terapia por Acupuntura / Mineração de Dados / Náusea / Antineoplásicos Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vômito / Pontos de Acupuntura / Terapia por Acupuntura / Mineração de Dados / Náusea / Antineoplásicos Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article