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Data mining for points-selection rules in acupunct

【作者】 Lu Chun-xin (鲁淳欣), Lü Yan-hong (吕燕红), Ma Min (马民), Zhang Gui-juan (张桂娟), Ma Yi (马义)

【机构】 本站原创

【摘要】

Objective: To explore and analyze the points-selection rules in acupuncture treatment of mammary gland hyperplasia (MGH) by data mining and statistical method.

Methods: Clinical literatures about the treatment of MGH with acupuncture published in the recent 16 years were retrieved from Chinese Journal Full-text Database (CJFD) and established into a database by Excel. The SPSS 20 version software and Clementine 12.0 version software were adopted to analyze the frequency and association rules of points-selection in the treatment of MGH with acupuncture.

Results: The top 3 points used most frequently in acupuncture treatment of MGH were Danzhong (CV 17), Taichong (LR 3) and Zusanli (ST 36); points from the Stomach Meridian of Foot Yangming and Liver Meridian of Foot Jueyin were most commonly used; the commonly selected points were predominantly distributed in thoracic and abdominal regions and lower limbs; emphasis on the combination use of local and distal points; of the specific points, the five Shu-Transmitting points were mostly used; association analysis showed that the associations among Taichong (LR 3), Danzhong (CV 17) and Zusanli (ST 36) were the most significant.

Conclusion: The data mining results substantially accord with the general rules of acupuncture-moxibustion theories in traditional Chinese medicine, able to reflect the points-selection principles and features in acupuncture treatment of MGH and provide evidence for the points selection in the treatment of MGH in acupuncture clinic.

Reference format:

Lu CX, Lü YH, Ma M, et al. Data mining for points-selection rules in acupuncture treatment of mammary gland hyperplasia. J Acupunct Tuina Sci, 2017, 15(5): 328-336