Analysis of Acupoint Selection and Combinations in Acupuncture Treatment of Trigeminal Neuralgia: A Protocol for Data Mining.

IF 2.5 3区 医学 Q2 CLINICAL NEUROLOGY
Journal of Pain Research Pub Date : 2025-07-03 eCollection Date: 2025-01-01 DOI:10.2147/JPR.S533617
Yujun He, Lu Li, Miao Zhou, Yi Xu, Jie Tang, Yachao Wu, Minhui Liu, Bowen Xing, Xiaojun Li, Xiaoyi Wang
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引用次数: 0

Abstract

Background: Trigeminal neuralgia is a prevalent neurological disorder within neuropathic pain. It severely impairs patients' quality of life, disrupting daily activities with intense facial pain. While acupuncture has proven effective in treating it, there's no consensus on acupoint selection. Different acupuncturists use various acupoints based on personal theories and experiences, and the optimal acupoints remain unclear due to varied analgesic mechanisms. This lack of clarity obstructs the standardization of acupuncture treatment, emphasizing the need for further research.

Objective: Our purpose is to conduct the first thorough data mining analysis to identify the most effective acupoint selection and combinations for treating trigeminal neuralgia from published clinical trials.

Methods: We will search 8 electronic bibliographic databases (PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang Database, Chinese Biomedical Literature Database and Chongqing VIP Database) from inception to May 2025. Clinical trials assessing the effectiveness of acupuncture therapy on the management of trigeminal neuralgia will be selected. We will strictly screen literature according to inclusion and exclusion criteria, and then extract relevant data for analysis. Descriptive statistics will be performed in Excel 2021. Association rule analysis will be performed in SPSS Modeler 14.1. Exploratory factor analysis, cluster analysis, and decision tree analysis will be performed in SPSS Statistics 26.0. Since the study was based on published studies, no ethical approval was required.

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

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

针刺治疗三叉神经痛的穴位选择与组合分析:一种数据挖掘方案。
背景:三叉神经痛是神经性疼痛中常见的神经系统疾病。它严重损害患者的生活质量,干扰日常活动,伴有剧烈的面部疼痛。虽然针灸已经被证明对治疗它是有效的,但在穴位的选择上还没有达成共识。不同的针灸师根据个人的理论和经验使用不同的穴位,由于镇痛机制的不同,最佳的穴位还不清楚。这种不明确阻碍了针灸治疗的规范化,强调了进一步研究的必要性。目的:我们的目的是进行第一次全面的数据挖掘分析,从已发表的临床试验中确定治疗三叉神经痛最有效的穴位选择和组合。方法:检索自成立至2025年5月的8个电子书目数据库(PubMed、Embase、Cochrane Library、Web of Science、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)。将选择临床试验评估针灸治疗三叉神经痛的有效性。我们将按照纳入和排除标准对文献进行严格筛选,然后提取相关数据进行分析。描述性统计将在Excel 2021中进行。关联规则分析将在SPSS Modeler 14.1中进行。探索性因子分析、聚类分析和决策树分析将在SPSS Statistics 26.0中进行。由于这项研究是基于已发表的研究,因此不需要伦理批准。结果:探讨治疗三叉神经痛最有效的穴位选择及组合。结论:本研究结果将为穴位贴敷治疗三叉神经痛的有效性和潜在治疗处方提供依据,帮助临床医生和患者共同做出更明智的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Pain Research
Journal of Pain Research CLINICAL NEUROLOGY-
CiteScore
4.50
自引率
3.70%
发文量
411
审稿时长
16 weeks
期刊介绍: Journal of Pain Research is an international, peer-reviewed, open access journal that welcomes laboratory and clinical findings in the fields of pain research and the prevention and management of pain. Original research, reviews, symposium reports, hypothesis formation and commentaries are all considered for publication. Additionally, the journal now welcomes the submission of pain-policy-related editorials and commentaries, particularly in regard to ethical, regulatory, forensic, and other legal issues in pain medicine, and to the education of pain practitioners and researchers.
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