Evidence map›Paper›PMID 39166504›Full record

ArticleAnaesthesiology intensive therapy2024

Interest in antibiotic pharmacokinetic modelling in the context of optimising dosing and reducing resistance: bibliometric analysis.

Arkadiusz Adamiszak, Alicja Bartkowska-Śniatkowska, Edmund Grześkowiak, Agnieszka Bienert

Abstract read
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Article in Anaesthesiology intensive therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

4 authors.

Arkadiusz AdamiszakDepartment of Clinical Pharmacy and Biopharmacy, Poznan University of Medical Sciences, Poland.
Alicja Bartkowska-ŚniatkowskaDepartment of Paediatric Anaesthesiology and Intensive Therapy, Poznan University of Medical Sciences, Poland.
Edmund GrześkowiakDepartment of Clinical Pharmacy and Biopharmacy, Poznan University of Medical Sciences, Poland.
Agnieszka BienertDepartment of Clinical Pharmacy and Biopharmacy, Poznan University of Medical Sciences, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn 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

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

resultsWe 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.

conclusionsGiven 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.

Indexed as

Anti-Bacterial AgentsBibliometricsDrug Resistance, BacterialHumansModels, BiologicalAnti-Bacterial Agentsantibiotic therapybacterial resistancebibliometricsMonte Carlo simulationspharmacometricsPK modelling

Identifiers

PMID39166504
PMCPMC11284584

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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.