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Application of Acupoints and Meridians for the Treatment of Primary Dysmenorrhea: A Data Mining-Based Literature Study

Background. Dysmenorrhea is a common problem for which acupuncture provides effective analgesia. Although acupoint selection affects the effectiveness of acupuncture, the basic rules of acupoint selection are little understood. This study aims to investigate the principles of acupoint selection and...

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Detalles Bibliográficos
Autores principales: Yu, Siyi, Yang, Jie, Yang, Mingxiao, Gao, Yan, Chen, Jiao, Ren, Yulan, Zhang, Leixiao, Chen, Liang, Liang, Fanrong, Hu, Youping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354715/
https://www.ncbi.nlm.nih.gov/pubmed/25802545
http://dx.doi.org/10.1155/2015/752194
Descripción
Sumario:Background. Dysmenorrhea is a common problem for which acupuncture provides effective analgesia. Although acupoint selection affects the effectiveness of acupuncture, the basic rules of acupoint selection are little understood. This study aims to investigate the principles of acupoint selection and characteristics of acupoints used for primary dysmenorrhea. Methods. PubMed, China National Knowledge Infrastructure, and Chinese Biomedical Database were searched for clinical trials published in English or Chinese from January 1978 to April 2014 evaluating the effect of acupuncture on primary dysmenorrhea, with or without methods of randomization and/or control. Three authors extracted information and two reviewers inputted information on titles, journals, interventions, main acupoints, and outcomes using the self-established Data Excavation Platform of Acupoint Specificity for data mining. Results. Sanyinjiao (SP06), Guanyuan (CV04), and Qihai (CV06) were used most frequently. The most frequently used meridians were Conception Vessel, Spleen Meridian of Foot Taiyin, and Bladder Meridian of Foot Taiyang. 67.24% of acupoints used were specific acupoints. Acupoints on lower limbs were most frequently used. Conclusion. Data mining is a feasible approach to identify the characteristics of acupoint selection. Our study indicated that modern acupuncture treatment for primary dysmenorrhea is based on selection of specific acupoints according to traditional acupuncture theory.