Analysis of Acupoint Selection and Combinations in Acupuncture Treatment of P...

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Analysis of Acupoint Selection and Combinations in Acupuncture Treatment of Piriformis Syndrome: A Protocol for Data MiningYujun He 1, Furui Miao 1, Yushan Fan 1, Jiujie He 1, Fangzhi Zhang 1, Zibin Wang 1, Yu Wu 1, Yiping Zhao 1, Pu Yang 2


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• PMID: 37790189
  
• PMCID: PMC10544196
  
• DOI: 10.2147/JPR.S422857
  

Free PMC article
Abstract

Background: Piriformis syndrome (PS) is a neuromuscular condition characterized by discomfort in the gluteal region. The efficacy of acupuncture as a treatment modality for PS has been substantiated through a multitude of clinical trials. However, certain queries persist, such as the optimal approach for identifying the most efficacious acupoints. The objective of this study is to perform an initial data mining analysis aimed at identifying the optimal acupoint selection and combinations for the treatment of PS.

Methods: We will search 7 electronic bibliographic databases (PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, Chinese Biomedical Literature Database and Chongqing VIP Database) from inception to June 2023. We will select clinical trials that evaluate the efficacy of acupuncture therapy in the management of PS. Exclusions will be made for reviews, protocols, animal trials, case reports, systematic reviews, and meta-analyses. The primary outcome measure will be clinical outcomes associated with PS. Descriptive statistics will be performed in Excel 2019. Association rule analysis will be performed in SPSS Modeler 18.0. Exploratory factor analysis and cluster analysis will be performed in SPSS Statistics 26.0.

Results: This study will investigate the most effective acupoint selection and combinations for patients with PS.

Conclusion: Our findings will provide evidence for the effectiveness and potential treatment prescriptions of acupoint application for patients with PS, helping clinicians and patients make a more informed decision together.

针刺治疗梨状肌综合征的选穴与配穴分析：一个数据挖掘协议何玉君1、苗福瑞1、范玉山1、何久杰1、张方志1、王子斌1、吴玉1、赵依萍1、杨浦2附属关系扩展PMID:37790189 PMCIDMC10544196 DOI:10.2147/JPR.S422857免费PMC文章摘要背景：梨状肌综合征（PS）是一种以臀大区不适为特征的神经肌肉疾病。针灸作为PS的一种治疗方式，其疗效已通过大量临床试验得到证实。然而，某些问题仍然存在，例如确定最有效穴位的最佳方法。本研究的目的是进行初步的数据挖掘分析，旨在确定治疗PS的最佳穴位选择和组合。方法：检索PubMed、Embase、Cochrane图书馆、中国国家知识基础设施、万方数据库、中国生物医学文献数据库和重庆VIP数据库等7个电子文献数据库。我们将选择评估针灸治疗PS疗效的临床试验。将排除审查、方案、动物试验、病例报告、系统审查和荟萃分析。主要结果测量将是与PS相关的临床结果。描述性统计将在Excel 2019中进行。关联规则分析将在SPSS Modeler 18.0中进行。探索性因素分析和聚类分析将在SPSS Statistics 26.0中进行。结果：本研究将探讨对PS患者最有效的穴位选择和组合。结论：我们的研究结果将为穴位敷贴治疗PS患者的有效性和潜在的治疗处方提供证据，帮助临床医生和患者共同做出更明智的决定。