Evidence map›Paper›PMID 40810691›Full record

ArticleAntimicrobial agents and chemotherapy2025

Towards precision dosing of vancomycin in patients with allogeneic hematopoietic stem cell transplantation: a comparison of published population pharmacokinetic models.

Eva-Maria A Wansing, Emily Behrens, Nicolaus M Kröger, Claudia Langebrake, Sebastian G Wicha

Abstract readComparative Study
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Eva-Maria A WansingHospital Pharmacy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0009-0000-1402-882X
Emily BehrensDepartment of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Hamburg, Germany.ORCID 0009-0002-3219-4869
Nicolaus M KrögerDepartment of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0001-5103-9966
Claudia LangebrakeHospital Pharmacy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0003-1249-4223
Sebastian G WichaDepartment of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Hamburg, Germany.ORCID 0000-0002-8773-4845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) often receive vancomycin as antibiotic treatment using therapeutic drug monitoring (TDM). TDM can be performed using a Bayesian approach, where concentration measurements are supported by a previously developed pharmacokinetic model based on a population as similar as possible to the treated patient. As a model developed in a similar population is not always available, it must be ensured that the predictive performance is not compromised. We retrospectively collected data from 121 adult allo-HSCT patients who received vancomycin treatment including trough concentration TDM between January and December 2021. Predictive performance of 21 published pharmacokinetic models was assessed by comparing the third observed vancomycin concentration per patient with the corresponding model prediction. Prediction was based on covariates alone (

Indexed as

Anti-Bacterial AgentsHematopoietic Stem Cell TransplantationVancomycinAdultAgedBayes TheoremDrug MonitoringFemaleHumansMaleMiddle AgedRetrospective StudiesTransplantation, HomologousAnti-Bacterial AgentsVancomycinBayesianmodel-informed precision dosingpharmacokineticspopulation pharmacokineticsstem cell transplantationtherapeutic drug monitoringvancomycin

Identifiers

PMID40810691
PMCPMC12494056

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Registered trials

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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.