[關鍵詞]
[摘要]
目的 探索糖尿病治療藥物相互作用研究的熱點及趨勢。方法 檢索中國學術期刊全文數(shù)據(jù)庫(CNKI)、萬方數(shù)據(jù)庫(Wanfang Data)、維普生物醫(yī)學數(shù)據(jù)庫(VIP)和Web of Science(WOS)數(shù)據(jù)庫,收集與研究目的相關文獻,采用CiteSpace、VOS Viewer、COOC和Excel軟件進行數(shù)據(jù)可視化和文獻計量學分析。結果 共納入82篇中文文獻和174篇英文文獻;作者分析顯示共出現(xiàn)113位核心作者;國內(nèi)發(fā)文機構多為大學及附屬醫(yī)院,平均發(fā)文量4篇,國際發(fā)文機構集中于跨國制藥公司,平均發(fā)文量7篇;發(fā)文量排名前3的國家分別為美國、印度、中國;排名前3的共被引文獻分別關注二甲雙胍和恩格列凈的藥動學以及2型糖尿病的藥物管理共識算法;關鍵詞顯示降糖藥物出現(xiàn)頻次由高到低分別為二甲雙胍、胰島素、瑞格列奈;突現(xiàn)詞分析顯示近5年的中文突現(xiàn)詞為轉運體、新型冠狀病毒肺炎、氯吡格雷、基因多態(tài)性、藥動學;英文突現(xiàn)詞包括elderly、polypharmacy、drug-food interactions、hypertension。結論 二甲雙胍與其他藥物的相互作用仍是糖尿病治療藥物相互作用的研究熱點,基因多態(tài)性、老年人群及藥物-食物間相互作用或將成為未來研究重點。
[Key word]
[Abstract]
Objective To explore the research hotspots and trend of drug-drug interactions in diabetes mellitus, and to provide intuitive data reference and relevant suggestions for subsequent research. Methods CNKI, Wanfang, VIP and Web of Science (WOS) databases were searched to collect papers related to the research purpose. CiteSpace, VOS Viewer, COOC and Excel were used for data visualization and bibliometric analysis. Results A total of 82 Chinese papers and 174 English papers were included. Author analysis showed that there were 113 core authors. Most of the domestic publishing institutions were universities and affiliated hospitals, with an average of four papers, while international publishing institutions were concentrated in multinational pharmaceutical companies, with an average of seven papers. The top three countries with the highest number of articles are the United States, India and China. The top three co-citations focused on the pharmacokinetics of metformin and enaglipzin and the consensus algorithm for drug administration in type 2 diabetes respectively. Metformin, insulin and repaglinide were the frequency of hypoglycemic drugs from high to low in keywords analysis. The analysis of burst words showed that the Chinese burst words in recent 5 years were transporter, novel coronavirus pneumonia, clopidogrel, gene polymorphism and pharmacokinetics. The English burst words included elderly, polypharmacy, drug-food interactions, and hypertension. Conclusion The interaction between metformin and other drugs is still a research hotspot in the treatment of diabetes. Gene polymorphism, elderly population and drug-food interaction may become the focus of future research in the treatment of diabetes.
[中圖分類號]
R969.2
[基金項目]
中國藥品監(jiān)督管理研究會研究課題-基于多元證據(jù)體探索中成藥安全性評價方法的研究(2024-Y-Y-006);臨床研究和成果轉化能力提升試點項目-中藥制劑研發(fā)——治療胃輕癱中藥復方佛香散(DZMG-ZJXY-23002)。