基于CiteSpace的耐药性癫痫研究热点与前沿趋势可视化分析

Visualization Analysis of Research Hotspots and Frontiers in Drug-Resistant Epilepsy Based on CiteSpace

摘要: 目的：探究耐药性癫痫的临床研究的现状、热点及趋势。方法：检索中国知网(CNKI)核心合集数据库相关文献，采用NoteExpress4.1.0.1003清洗数据，运用CiteSpace对作者、机构、关键词等进行可视化分析。结果：纳入541篇中文文献；发文最多的作者为王学峰、机构为重庆医科大学附属第一医院神经内科，机构间合作关系较独立，地域性较明显；研究热点集中于：儿童DRE、DRE病理机制、基础实验、中西医结合治疗等；将持续成为该领域的研究热点。结论：本研究通过可视化分析揭示了耐药性癫痫研究热点从外科干预、传统药物，向生酮饮食、多药耐药机制及中西医结合方向演进的趋势。未来研究可重点从以下方面深化：一是系统阐释P糖蛋白介导的外排机制、神经炎症与免疫微环境在耐药形成中的作用；二是围绕“痰瘀互结”等中医证候，开展化痰祛瘀类复方调节上述机制的药效学研究；三是整合多组学与人工智能方法，构建适用于中西医疗效评价的生物标志物体系，推动辨证论治的精准化。

Abstract: Objective: To explore the current status, hotspots, and trends of clinical research on drug-resistant epilepsy. Methods: Relevant literature was retrieved from the CNKI Core Collection Database. Data were cleaned using NoteExpress4.1.0.1003. CiteSpace was used to conduct visual analysis of authors, institutions, and keywords. Results: 541 Chinese-language articles were included; the author with the most publications was Wang Xuefeng, and the institution was the First Affiliated Hospital of Chongqing Medical University Department of Neurology. The institutional cooperation was relatively independent, and the regional characteristics were obvious; the research hotspots focused on: pediatric DRE, DRE pathological mechanism, basic experiments, and integrated traditional Chinese and Western medicine treatment; these will continue to be the research hotspots in this field. Conclusion: This study through visual analysis revealed the trend that the research hotspots of drug-resistant epilepsy have evolved from surgical intervention and traditional drugs to ketogenic diet, multi-drug resistance mechanisms, and the combination of traditional Chinese and Western medicine. Future research can focus on the following aspects for further deepening: first, systematically explain the excretion mechanism mediated by P-glycoprotein, and the role of neuroinflammation and immune microenvironment in the formation of drug resistance; second, based on traditional Chinese syndromes such as “phlegm-stasis intermingling”, conduct pharmacodynamic studies on compound prescriptions for eliminating phlegm and resolving stasis to regulate the above mechanisms; third, integrate multi-omics and artificial intelligence methods to construct a biomarker system applicable for the evaluation of therapeutic effects of both traditional Chinese and Western medicine, and promote the precision of syndrome differentiation and treatment.