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  • Title: [Acupoint selection rules of acupuncture for cervical spondylotic radiculopathy based on data mining].
    Author: Zhang LZ, Wu LQ, Chen RZ, Yi W, Zhou W, Gu L, Shang HC, Zhang HL.
    Journal: Zhongguo Zhen Jiu; 2020 Nov 12; 40(11):1259-62. PubMed ID: 33788500.
    Abstract:
    OBJECTIVE: To analyze the rules of acupoint selection in the acupuncture treatment of cervical spondylotic radiculopathy by data mining. METHODS: The randomized controlled trials (RCTs) regarding acupuncture for cervical spondylotic radiculopathy published from July 15 of 2009 to July 15 of 2019 were retrieved from databases of CNKI, VIP, Wanfang, SinoMed, PubMed and EMbase. A database was established with Microsoft Excel 2016. The frequency and total effective rate of high-frequency acupoints, meridians and acupoint combinations were analyzed, and the association rules of acupoints and meridians were analyzed by Apriori algorithm. RESULTS: A total of 87 RCTs were included, involving 104 acupoints with a total frequency of 921. Among them, the high-frequency acupoints were cervical Jiaji (EX-B 2, 87 times), Fengchi (GB 20, 70 times), Houxi (SI 3, 54 times), etc. The frequently-used acupoints were mainly distributed in the hand yangming large intestine meridian, the foot shaoyang gallbladder meridian and hand taiyang small intestine meridian. The frequently-used acupoint combination was Fengchi (GB 20)-cervical Jiaji (EX-B 2), and most of the combinations were acupoints at the proximal end and acupoints at the far and near end. With the analysis of association rules, 15 groups of acupoint association rules and meridian association rules were obtained. CONCLUSION: It is feasible to explore the acupoint selection and compatibility rules of acupuncture for cervical spondylotic radiculopathy by data mining. This study could provide corresponding reference for clinical treatment. 目的：通过数据挖掘分析针刺治疗神经根型颈椎病的选穴规律。方法：检索2009年7月15日至2019年7月15日中国期刊全文数据库（CNKI）、维普中文科技期刊数据库（VIP）、万方学术期刊全文数据库（Wanfang）、中国生物医学文献数据库（SinoMed）、PubMed数据库、EMbase数据库收录的针刺治疗神经根型颈椎病的随机对照试验研究文献，采用Microsoft Excel 2016建立数据库，对高频腧穴、经脉和腧穴组合进行频数、总有效率统计，并运用Apriori算法对腧穴、经脉进行关联规则分析。结果：共纳入87篇文献，涉及腧穴104个，总频次为921次。其中，累计应用频次较高的腧穴为颈夹脊（87次）、风池（70次）、后溪（54次）等；常用腧穴主要分布于手阳明大肠经、足少阳胆经和手太阳小肠经；腧穴配伍以风池-颈夹脊最为常见，且多为近端取穴及远近配穴相结合；通过关联规则分析，得到了15组腧穴关联规则和15组经脉关联规则。结论：运用数据挖掘探析针刺治疗神经根型颈椎病的选穴、配伍规律是可行的，本研究可为临床治疗提供相应的参考依据。.
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