A Data Mining Study for Analysis of Acupoint Selection and Combinations in Acupuncture Treatment of Carpal Tunnel Syndrome.

Background: Carpal tunnel syndrome (CTS) is the most prevalent upper limb compressive neuropathy. A considerable number of clinical trials and meta-analyses have provided evidence supporting the effectiveness of acupuncture in treating CTS. Nevertheless, the ideal choice of acupoints remains ambiguous. Objective: A data mining analysis was conducted with the objective of determining the most effective acupoint combinations and selection for CTS. Methods: A search was conducted across seven Chinese and English electronic bibliographic databases spanning from their inception to March 2023. Selected were clinical trials that evaluated the efficacy of acupuncture therapy for CTS, with or without randomised controlled methods. Data extraction mainly included acupoint prescriptions. Information such as first author, study design and study setting were also extracted. The principal outcomes comprised the clinical manifestations linked to CTS. Statistical descriptions were generated using Excel 2019. The analysis of association rules was conducted using SPSS Modeler 18.0. Using SPSS Statistics 26.0, exploratory factor analysis and cluster analysis were conducted. Results: 142 trials (including 86 RCTs and 56 non RCTs) were identified, and 193 groups of effective prescriptions involving 68 acupoints were extracted. The most frequently used acupoints were Da-ling (PC7), Nei-guan (PC6), He-gu (LI4), Wai-guan (TE5), and Yang-xi (LI5). The most frequently used meridians were the pericardial meridian and the large intestine meridian. The majority of special acupoints used were Five-shu points and Yuan-source points, with acupoints on the upper limbs being the most frequently used. The core acupoint groups were analyzed and 11 groups of association rules, 8 factors, and 5 effective cluster groups were obtained. Conclusion: The evidence-based acupoint selection and combinations of acupuncture therapy for carpal tunnel syndrome were provided by the findings of this study.

Acupoint selection rules of acupuncture and moxibustion in treating neurogenic bladder based on data mining. / 基于数据挖掘技术分析针灸治疗神经源性膀胱的选穴规律.

OBJECTIVES: To explore the rules of acupoint selection in the treatment of neurogenic bladder (NB) with acupuncture and moxibustion by using data mining. METHODS: The clinical research literatures on acupuncture treatment of NB were collected from PubMed, Embase, Cochrane Library, CNKI, Wanfang Database, VIP Database and China Biology Medicine from retrieved to January 1, 2023. The acupoint prescription database was established using Excel 2019. SPSS Modeler 18.0 and SPSS Statistics 26.0 softwares were used to conduct the frequency, meri-dians, locations, specific acupoints analysis and association rules analysis, factor analysis, cluster analysis, etc., to explore the characteristics and rules of acupoint selection in acupuncture and moxibustion treatment of NB. RESULTS: Totally 313 papers were included, including 110 acupoints with a total frequency of 1 995. The high-frequency acupoints are Zhongji (CV3), Guanyuan (CV4), Sanyinjiao (SP6), etc. The commonly used meridians are the Bladder Meridian of Foot Taiyang and Conception Vessel. The involved acupoints are mostly located in the lumbosacral region and abdomen, and intersection acupoints, mu-front acupoints and back-shu acupoints are the majority in the specific acupoints. The core acupoints group was analyzed, and 17 groups of association rules, 7 factors and 6 effective cluster groups were obtained. CONCLUSIONS: Acupuncture and moxibustion treatment of NB follows the therapeutic principles of toni-fying the kidney, invigorating the spleen, and soothing the liver. The core acupoints group is CV3-CV4-SP6.

A bibliometric and visualization analysis of global research on postherpetic neuralgia from 2000 to 2022: A review.

Postherpetic neuralgia (PHN) represents a notable clinical challenge as it is the most prevalent and severe complication of herpes zoster (HZ). The primary objective was to investigate the current research status and hotspots of PHN research during the period from 2000 to 2022. The literature pertaining to PHN was gathered through the utilization of the Web of Science Core Collection, spanning from January 2000 to December 2022. The software, CiteSpace version 6.2.R2, was employed to produce visual depictions of publications related to PHN across various dimensions such as year, country/region, institution, journal, author, keyword, and reference. This study involved a total of 3505 papers. The USA held a dominant position in the production of scholarly articles. Argentina exhibited the highest frequency of participation in international collaboration. Out of all the institutions, Pfizer exhibited the highest degree of productivity. Harvard University exhibited the highest frequency of participation in international collaboration. The Pain exhibited the most noteworthy productivity rate and citation count among all other journals. Ralf Baron was identified as the most productive author, whereas DWORKIN RH attained the highest citation count. Contemporary scholarly investigations are predominantly centered on identifying risk factors, devising preventative measures, and exploring novel and secure methods of pain management. The current investigation has revealed the focal areas and patterns of studies pertaining to PHN. Presently, the research in this field is focused on identifying the risk factors and preventive measures for PHN, alongside exploring novel and secure pain management strategies.

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

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.

Acupuncture Methods for Piriformis Syndrome: A Protocol for Systematic Review and Network Meta-Analysis.

Background: Piriformis syndrome (PS) is a common disease that is difficult to clinically treat, which seriously affects people's health and living quality. Multiple clinical studies have demonstrated that acupuncture therapy is an effective treatment for PS, but the optimal method of various acupuncture methods has remained unknown. The aim of this study protocol is to compare the efficacy and the safety of different acupuncture methods for PS. Methods: We will search seven 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. Randomized controlled trials (RCTs) will be selected for assessing the effectiveness of acupuncture therapy on PS. Primary outcome measure for this study is pain intensity, and the secondary outcomes are clinical symptoms and signs, physical activity, effective rate, and adverse events. Study selection, data extraction, and risk of bias assessment will be independently completed by at least two reviewers. Then, standard pairwise meta-analysis and network meta-analysis will be conducted using Revman 5.3, Stata V.15.1 and OpenBUGS V.3.2.3. The heterogeneity will be explored by subgroup, meta-regression, and sensitivity analysis, if applicable. Finally, Grading of Recommendations, Assessment, Development and Evaluation (GRADE) pro system will be used to evaluate the quality of evidence. Results: Our systematic review and network meta-analysis will identify the best acupuncture treatment method for PS patients. Conclusion: The results of our review will help decision-makers make educated choices regarding evidence-based acupuncture management options for PS. Prospero Registration Number: No. CRD42022335028.

Analysis of Acupoint Selection and Combinations in Acupuncture Treatment of Carpal Tunnel Syndrome: A Protocol for Data Mining.

Background: Carpal tunnel syndrome (CTS), as the most common compression neuropathy in the upper limb, can lead to upper limb dysfunction in patients. The effectiveness of acupuncture in treating CTS has been validated based on numerous clinical trials and meta-analyses, but questions remain, such as how to select the best acupoints. Our purpose is to conduct the first data mining analysis to identify the most effective acupoint selection and combinations for treating CTS. 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 March 2023. Clinical trials assessing the effectiveness of acupuncture therapy on the management of CTS will be selected. Reviews, protocols, animal trials, case reports, systematic reviews, and meta-analyses will be excluded. The primary outcome measure will be clinical result associated with CTS. 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 CTS. Conclusion: Our findings will provide evidence for the effectiveness and potential treatment prescriptions of acupoint application for patients with CTS, helping clinicians and patients make a more informed decision together.