ArticleClinical pharmacokinetics2025
Identifying the Optimal Sampling Strategy for the Bayesian Estimation of Vancomycin AUC
Article in Clinical pharmacokinetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- Evaluating Bayesian Vancomycin Dosage Adjustment in Neonates: A Simulation-Based Virtual TDM Study.Clinical pharmacokinetics · 2026Article
- 3D Nanofibrous Scaffolds for Encapsulation-Controlled Vancomycin Delivery: Antibacterial Performance and Cytocompatibility.Polymers · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveThe latest consensus recommends using the ratio between the area under the curve over 24 h (AUC
methodsA virtual population (n = 7000) was simulated based on the distribution of the significant covariates (ideal body weight and estimated glomerular filtration rate) from the population used to develop the previous pharmacokinetic model. The dosing regimens from the Le Blanc et al. nomogram were used to generate, with NONMEM
conclusionThis study is the first to test multiple limited sampling strategies using a dosing nomogram stratified by renal function. The results show that vancomycin sampling can extend beyond traditional C
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Registered trials
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