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Analysis of acupoint-selection patterns in acupuncture-moxibustion treatment of polycystic ovarian syndrome based on data mining

基于数据挖掘分析针灸治疗多囊卵巢综合征的经穴规律

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Abstract

Objective

To analyze the meridian and acupoint-selection patterns in acupuncture-moxibustion treatment of polycystic ovarian syndrome (PCOS) by data mining technique, for exploring acupoints that could be effective for PCOS and providing suggestion and reference in selecting acupoints for the acupuncture-moxibustion treatment of PCOS.

Methods

Literatures related to the acupuncture-moxibustion treatment of PCOS published before April 2018 were collected. By a self-made data mining program developed using Microsoft Excel 2007, a database of acupuncturemoxibustion treatment of PCOS was then established. The correlation analysis was performed for the frequency of use of acupoints and acupoint groups. Cluster analysis was also conducted.

Results

A total of 92 articles were recruited finally. Sanyinjiao (SP 6), Conception Vessel and chest-abdomen region ranked the top on the list of the most frequently used acupoints, meridians and regions, respectively. Correlation analysis showed that the acupoint group with the highest confidence was Sanyinjiao (SP 6) and Zusanli (ST 36), and the group with the highest support was Sanyinjiao (SP 6) and Guanyuan (CV 4). Cluster analysis revealed five effective clusters: Guanyuan (CV 4) and Sanyinjiao (SP 6); Zhongwan (CV 12) and Tianshu (ST 25); Zhongji (CV 3), Zusanli (ST 36) and Qihai (CV 6); Xuehai (SP 10), Shenshu (BL 23), Taichong (LR 3) and Guilai (ST 29); Ganshu (BL 18), Taixi (KI 3), Yinlingquan (SP 9) and Pishu (BL 20).

Conclusion

According to the confidence and support report, Sanyinjiao (SP 6) and Zusanli (ST 36) or Sanyinjiao (SP 6) and Guanyuan (CV 4) are recommended in acupuncture-moxibustion treatment of PCOS, with adjunct points selected for different patterns, e.g. Zhongwan (CV 12) and Tianshu (ST 25) for tonifying spleen and expelling dampness; Zhongji (CV 3) and Qihai (CV 6) for supplementing qi and cultivating blood; Xuehai (SP 10), Shenshu (BL 23), Taichong (LR 3) and Guilai (ST 29) for tonifying kidney and dissolving stasis; Ganshu (BL 18), Taixi (KI 3), Yinlingquan (SP 9) and Pishu (BL 20) for tonifying kidney and spleen and regulating liver.

摘要

目的

运用数据挖掘技术分析现代针灸治疗多囊卵巢综合征(PCOS)的经穴规律, 挖掘治疗PCOS的潜力穴位, 为针灸治疗PCOS提供选穴思路和参考。

方法

收集截至2018年4月针灸治疗PCOS的相关文献, 利用Microsoft Excel 2007软件自编数据挖掘程序, 建立针灸治疗PCOS的数据库, 进行穴位的使用频次及穴位组合的关联分析, 并进行聚类分析。

结果

最终纳入92篇文献, 使用频次最高的穴位、经络和部位分别为三阴交、任脉和胸腹部,关联规则结果显示: 置信度最高的穴位组合为三阴交和足三里, 支持度最高的穴位组合是三阴交和关元。聚类分 析结果显示: 存在5个有效聚类群, 即关元、三阴交; 中脘、天枢; 中极、足三里、气海; 血海、肾俞、太冲和归 来; 以及肝俞、太溪、阴陵泉和脾俞。

结论

根据置信度和支持度结果, 推荐针灸治疗PCOS时选用三阴交加足三里, 或三阴交加关元, 并依据不同证型加用配穴, 如加用中脘、天枢以健脾除湿; 加用中极、气海以益气养血; 加 用血海、肾俞、太冲和归来以补肾化瘀; 加用肝俞、太溪、阴陵泉、脾俞以益肾补脾调肝。

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Acknowledgments

This work was supported by the Project of Shanghai Municipal Commission of Health and Family Planning (上 海市卫生和计划生育委员会科研课题, No. 201840307); The Research Project of Autonomous Selection of China Academy of Traditional Chinese Medicine (中国中医科学 院自主选题研究项目, No. ZZKF08002); Shanghai Academic Community of Leading Talents in Chinese Medicine (上海市中医药领军人才项目, No. ZYSNXDRC-LJRC).

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Authors and Affiliations

  1. Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China

    Tao Li  (李涛), Jing Zhou  (周竞), Huan-gan Wu  (吴焕淦), Ya-jing Guo  (郭娅静), Yi Sun  (孙怡) & Yin Shi  (施茵)

  2. Shanghai Research Institute of Acupuncture and Meridian, Shanghai, 200030, China

    Huan-gan Wu  (吴焕淦) & Yin Shi  (施茵)

  3. Songjiang District Central Hospital of Shanghai, Shanghai, 201600, China

    Jie Sun  (孙洁)

  4. Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, 100700, China

    Liang Li  (李亮)

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  1. Tao Li  (李涛)
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Correspondence to Yin Shi  (施茵) or Liang Li  (李亮).

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Li, T., Zhou, J., Wu, Hg. et al. Analysis of acupoint-selection patterns in acupuncture-moxibustion treatment of polycystic ovarian syndrome based on data mining. J. Acupunct. Tuina. Sci. 16, 416–424 (2018). https://doi.org/10.1007/s11726-018-1082-7

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  • DOI: https://doi.org/10.1007/s11726-018-1082-7

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