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针灸治疗功能性消化不良的穴位组方随机对照试验数据挖掘

Analysis on acupoints selection and combination for functional dyspepsia:Data mining of randomized controlled trials
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摘要 Background:The aim of the study was to explore the regularity of acupoints combination in the treatment of functional dyspepsia(FD)by means of data mining technology.Methods:We conducted a systematic search of nine databases from their inception to December 2022 to identify eligible randomized controlled trials(RCTs).The acupoints prescriptions in the treatment of FD were extracted and analyzed based on association rule mining and network analysis.Furthermore,the acupoints prescribed for irritability symptom of FD were quantified by forward inference,reverse inference and Bayes factor(BF)correction.Results:A total of 45 RCTs on 30 acupoints were included,involving 172 times the total application frequency.Analysis of acupoints prescriptions covered 29 meridian acupoints and one extra-ordinary point,disturbing in 10 meridians.The top three acupoints in application frequency were Zusanli(ST36,19.77%),Neiguan(PC6,16.86%),Zhongwan(CV12,12.21%).The most involved meridian was the foot yangming stomach meridian(34 times).The most frequently used acupoints combinations were PC6 and ST36.The core prescriptions were ST36,PC6,Tianshu(ST25),CV12.The specificities of acupoints selection for FD with dysphoria as follows:using the forward inference,PC6,Taichong(LR3),Qimen(LR14),CV12,Danzhong(CV17),ST25,ST36 were selected.Using the reverse inference and BF correction,PC6,CV12,CV17,Sanyinjiao(SP6),ST25,ST36 were selected.
作者 陈宇巧 吴佳丽 韦乃瑄 邱梦婷 郭子 邵晓梅 方剑乔 房军帆 杜俊英 Yu-qiao CHEN;Jia-li WU;Nai-xuan WEI;Meng-ting QIU;Zi GUO;Xiao-mei SHAO;Jiao-qiao FANG;Jun-fan FANG;Jun-ying DU(Department of Neurobiology andAcupuncture Research,the Third Clinical Medical College,Zhejiang Chinese Medical University,Key Laboratory of Acupuncture and Neurology of Zhejiang Province,Hangzhou 310053,China)
出处 《World Journal of Acupuncture-Moxibustion》 CAS CSCD 2024年第1期40-53,共14页 世界针灸杂志(英文版)
基金 Supported by Zhejiang Provincial Natural Science Fund of China:LY20H270006,LY19H270003 Zhejiang Medical and Health Science and Technology Program:2021RC098 National Natural Science Fund of China:81873360。
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