在优化剂量和减少抗药性方面对抗生素药代动力学模型的兴趣:文献计量分析。

IF 1.6 Q2 ANESTHESIOLOGY
Arkadiusz Adamiszak, Alicja Bartkowska-Śniatkowska, Edmund Grześkowiak, Agnieszka Bienert
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引用次数: 0

摘要

导言:在抗药性菌株问题频发的时代,药代动力学(PK)建模为优化抗生素治疗和最大限度地降低抗药性产生的风险提供了方法。这项文献计量学研究旨在调查 PK 模型研究的趋势。材料与方法:我们使用 Bibliometrix、VOSviewer 和 CiteSpace 分析了从 1983 年到 2023 年 3 月有关抗生素 PK 建模的科学网文章:我们按照纳入标准分析了 968 篇论文,并绘制了关键词共现图和时间轴。从1983年到2022年,与主题相关的论文年均增长率为35.56%,保持了持续上升的趋势。罗伯茨-J.A.、利普曼-J.和沃利斯-S.C.是发表文章最多、影响最大的三位作者(分别发表了82、57、34篇文章,h指数分别为30、25、15)。美国在这一研究领域处于领先地位(占论文总数的 29.13%)。最相关的研究机构是昆士兰大学、布里斯班皇家妇女医院和莫纳什大学。论文数量最多、影响最大的期刊前三名是《抗微生物制剂与化疗》、《抗微生物化疗杂志》和《国际抗微生物制剂杂志》(分别为 181、83、47 篇,h 指数分别为 42、30、18)。大多数文章的关键词集中在美罗培南、万古霉素和阿米卡星上。此外,治疗药物监测、耐药性、抗生素剂量、目标实现、重症监护室和儿科也是趋势性最强的方面:鉴于本研究的结果,我们预计人们对利用 PK 建模优化抗生素治疗的兴趣将稳步增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interest in antibiotic pharmacokinetic modelling in the context of optimising dosing and reducing resistance: bibliometric analysis.

Introduction: In the era of problems with resistant bacteria strains, pharmacokinetic (PK) modelling offers ways to optimise antibiotic therapy and minimise the risk of resistance development. This bibliometric study aimed to investigate trends in PK modelling stu-dies. The goal was to provide researchers with comprehensive insight and identify future needs.

Material and methods: We used Bibliometrix, VOSviewer, and CiteSpace to analyse Web of Science articles on antibiotic PK modelling from 1983 to March 2023.

Results: We analysed 968 papers following the inclusion criteria and built a keywords co-occurrence map and timeline. The average annual growth rate of subject-related publications was 35.56% between 1983 and 2022, maintaining a continuous upward trend. Roberts J.A., Lipman J., and Wallis S.C. are the three most productive and impactful authors (82, 57, 34 articles, and h-index of 30, 25, 15, respectively). The United States leads in this field of research (29.13% of papers). The most relevant affiliations are the University of Queensland, Royal Brisbane and Women's Hospital, and Monash University. The top three most productive and impactful journals are Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, and International Journal of Antimicrobial Agents (181, 83, 47 articles and h-index of 42, 30, 18, respectively). Most articles by keyword clustered on meropenem, vancomycin, and amikacin. Moreover, therapeutic drug monitoring, resistance, antibiotic dosing, target attainment, the intensive care unit, and paediatrics are the most trending aspects.

Conclusions: Given the results of this study, we expect to see a steady increase in interest in exploiting the potential of PK modelling for optimising antibiotic therapy.

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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
48
审稿时长
25 weeks
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