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Introduction <p>Therapeutic drug monitoring (TDM) plays an important role in optimizing antifungal pharmacotherapy because of the substantial pharmacokinetic variability and narrow therapeutic window of many antifungal agents. However, the global research landscape and emerging trends in antifungal TDM have not been systematically evaluated.</p> Aim <p>This study aimed to analyze global research trends, collaboration networks, and emerging research hotspots in antifungal TDM using bibliometric analyses.</p> Method <p>Relevant publications published between January 2014 and November 14, 2024, were retrieved from the Web of Science Core Collection. Bibliometric analyses were performed using CiteSpace and VOSviewer to evaluate publication trends, countries, institutions, authors, journals, and keyword co-occurrence.</p> Results <p>A total of 569 publications from 34 countries were included in this review. The United States, China, and Germany were the leading contributors, and the annual publication output increased steadily during the study period. The French National Institute of Health and Medical Research was the most productive institution. The most influential journals were <i>Antimicrobial Agents and Chemotherapy</i> and <i>Clinical Microbiology and Infection</i>. Keyword analysis identified voriconazole TDM, drug–drug interactions, caspofungin, invasive aspergillosis, extracorporeal membrane oxygenation, and immunocompromised pediatric populations as major research hotspots. Machine learning–assisted pharmacokinetic modeling has recently emerged as a research focus.</p> Conclusion <p>Although research on antifungal TDM is increasing globally, high-quality clinical evidence remains limited. Future research should prioritize multicenter clinical studies, optimization of TDM implementation in special populations, and integration of model-informed precision dosing approaches to support individualized antifungal therapy and clinical pharmacy practice.</p>

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Research trends and emerging topics in antifungal therapeutic drug monitoring: a bibliometric analysis with implications for clinical pharmacy practice

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月19日

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  • Li-Chao-Yue Sun,
  • Jian-Chun Li,
  • Wen-Shu Li,
  • Zhao Ren,
  • Yi-Xin Yang,
  • Wei Liu,
  • Suo-Di Zhai,
  • Shuo Liang,
  • Zhi-Heng Yu

摘要

Introduction

Therapeutic drug monitoring (TDM) plays an important role in optimizing antifungal pharmacotherapy because of the substantial pharmacokinetic variability and narrow therapeutic window of many antifungal agents. However, the global research landscape and emerging trends in antifungal TDM have not been systematically evaluated.

Aim

This study aimed to analyze global research trends, collaboration networks, and emerging research hotspots in antifungal TDM using bibliometric analyses.

Method

Relevant publications published between January 2014 and November 14, 2024, were retrieved from the Web of Science Core Collection. Bibliometric analyses were performed using CiteSpace and VOSviewer to evaluate publication trends, countries, institutions, authors, journals, and keyword co-occurrence.

Results

A total of 569 publications from 34 countries were included in this review. The United States, China, and Germany were the leading contributors, and the annual publication output increased steadily during the study period. The French National Institute of Health and Medical Research was the most productive institution. The most influential journals were Antimicrobial Agents and Chemotherapy and Clinical Microbiology and Infection. Keyword analysis identified voriconazole TDM, drug–drug interactions, caspofungin, invasive aspergillosis, extracorporeal membrane oxygenation, and immunocompromised pediatric populations as major research hotspots. Machine learning–assisted pharmacokinetic modeling has recently emerged as a research focus.

Conclusion

Although research on antifungal TDM is increasing globally, high-quality clinical evidence remains limited. Future research should prioritize multicenter clinical studies, optimization of TDM implementation in special populations, and integration of model-informed precision dosing approaches to support individualized antifungal therapy and clinical pharmacy practice.