Tags

Type your tag names separated by a space and hit enter

[Acupoints Selection Exploring for Acupuncture Treatment of Insulin Resistance Based on Data Mining].
Zhen Ci Yan Jiu 2016; 41(6):545-9ZC

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.

Authors+Show Affiliations

Department of Special Chinese Medicine, Shenzhen Hospital of Traditional Chinese Medicine, Shenzhen 518033, China.Clinical Medical College of Acupuncture-Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou 510405.Clinical Medical College of Acupuncture-Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou 510405.Traditional Therapy Department of Fangcun, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120.Department of Special Chinese Medicine, Shenzhen Hospital of Traditional Chinese Medicine, Shenzhen 518033, China.College of Chinese Mdicine, Hunan University of Chinese Medicine, Changsha 410208.Clinical Medical College of Acupuncture-Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou 510405. 1050031893@qq.com.

Pub Type(s)

Journal Article
Review

Language

chi

PubMed ID

29071899

Citation

Li, Zhi-Xing, et al. "[Acupoints Selection Exploring for Acupuncture Treatment of Insulin Resistance Based On Data Mining]." Zhen Ci Yan Jiu = Acupuncture Research, vol. 41, no. 6, 2016, pp. 545-9.
Li ZX, Lan DC, Zhang HH, et al. [Acupoints Selection Exploring for Acupuncture Treatment of Insulin Resistance Based on Data Mining]. Zhen Ci Yan Jiu. 2016;41(6):545-9.
Li, Z. X., Lan, D. C., Zhang, H. H., Sun, J., Chen, X. Z., Huang, R. Z., & Yi, W. (2016). [Acupoints Selection Exploring for Acupuncture Treatment of Insulin Resistance Based on Data Mining]. Zhen Ci Yan Jiu = Acupuncture Research, 41(6), pp. 545-9.
Li ZX, et al. [Acupoints Selection Exploring for Acupuncture Treatment of Insulin Resistance Based On Data Mining]. Zhen Ci Yan Jiu. 2016 Dec 25;41(6):545-9. PubMed PMID: 29071899.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Acupoints Selection Exploring for Acupuncture Treatment of Insulin Resistance Based on Data Mining]. AU - Li,Zhi-Xing, AU - Lan,Dan-Chun, AU - Zhang,Hai-Hua, AU - Sun,Jian, AU - Chen,Xiao-Zhuan, AU - Huang,Run-Ze, AU - Yi,Wei, PY - 2017/10/27/entrez PY - 2017/10/27/pubmed PY - 2018/1/13/medline SP - 545 EP - 9 JF - Zhen ci yan jiu = Acupuncture research JO - Zhen Ci Yan Jiu VL - 41 IS - 6 N2 - 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. SN - 1000-0607 UR - https://www.unboundmedicine.com/medline/citation/29071899/[Acupoints_Selection_Exploring_for_Acupuncture_Treatment_of_Insulin_Resistance_Based_on_Data_Mining]_ L2 - https://medlineplus.gov/acupuncture.html DB - PRIME DP - Unbound Medicine ER -