Evidence map›Paper›PMID 42319602›Full record

ReviewInternational journal of clinical pharmacy2026

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

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

Abstract readReview
In one paragraph

Review in International journal of clinical pharmacy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Li-Chao-Yue Sun *Department of Pharmacy, Aerospace Center Hospital, Beijing, China.
Jian-Chun Li *Department of Pharmacy, Aerospace Center Hospital, Beijing, China.
Wen-Shu LiDepartment of Pharmacy, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Zhao RenDepartment of Pharmacy, Aerospace Center Hospital, Beijing, China.
Yi-Xin YangDepartment of Hematology, Aerospace Center Hospital, Beijing, China.
Wei LiuDepartment of Dermatology and Venereology, Peking University First Hospital, Beijing, China.
Suo-Di ZhaiDepartment of Pharmacy, Peking University Third Hospital, Beijing, China.
Shuo LiangDepartment of Pharmacy, Aerospace Center Hospital, Beijing, China.
Zhi-Heng YuDepartment of Pharmacy, Aerospace Center Hospital, Beijing, China. yuzhiheng_cs@126.com.

Funding

the scientific research fund of aerospace center hospital YN202527
6 · The paper itself

Abstract

introductionTherapeutic 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.

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

methodRelevant 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.

resultsA 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.

conclusionAlthough 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.

Indexed as

Antifungal AgentsBibliometricsDrug MonitoringPharmacy Service, HospitalHumansAntifungal AgentsAntifungal agentsBibliometricsClinical pharmacyPharmacokineticsPrecision medicineTherapeutic drug monitoring

Identifiers

PMID42319602
PMCPMC13569520

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.