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Review
. 2016 Dec 25;41(6):545-9.

[Acupoints Selection Exploring for Acupuncture Treatment of Insulin Resistance Based on Data Mining]

[Article in Chinese]
Affiliations
  • PMID: 29071899
Review

[Acupoints Selection Exploring for Acupuncture Treatment of Insulin Resistance Based on Data Mining]

[Article in Chinese]
Zhi-Xing Li et al. Zhen Ci Yan Jiu. .

Abstract

Objective: To analyze the characteristics and rules of acupoint selection for acupuncture treatment of insulin resistance.

Methods: Data collections were conducted by searching references on acupuncture treatment of insulin resistance in PubMed, CNKI, VIP data base from 1991 to 2016, and acupuncture prescription data base for acupuncture treatment of insulin resistance was established. Data mining was applied to analyze the characteristics and rules of acupoint selection.

Results: A total of 64 papers were recruited, and 73 acupoints were selected in these papers. It was found that the acupoints as Zusanli (ST 36), Sanyinjiao (SP 6), Fenglong (ST 40) and Taichong (LR 3) were used with highest frequencies. All acupoints selected distributed in 13 meridians, especially Foot Yangming Stomach Meridian, Foot Taiyin Bladder Meridian, and Conception Vessel with a total frequency of 58.07%. The special acupoints including five-shu points, eight confluent points and back-shu points, accounted for 56.71%.

Conclusions: This study excavated the regular acupoint selection and acupoints compatibility for acupuncture treatment in patients with insulin resistance, giving evidence based confirming and direction for acupuncture clinical treatment.

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