Evidence map›Paper›PMID 39233318›Full record

ArticlePharmacology research & perspectives2024

Population pharmacokinetic modeling of vedolizumab for graft-versus-host disease prophylaxis in adults with allogeneic hematopoietic stem cell transplant.

Timothy Waterhouse, Kyle Baron, Westley Eure, Chunlin Chen, Nathanael L Dirks, Johan Jansson, Mona Akbari, Shailly Mehrotra

Abstract readClinical Study
In one paragraph

Article in Pharmacology research & perspectives, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Timothy WaterhouseMetrum Research Group, Tariffville, Connecticut, USA.ORCID 0000-0002-0954-9660
Kyle BaronMetrum Research Group, Tariffville, Connecticut, USA.ORCID 0000-0001-7252-5656
Westley EureTakeda Pharmaceuticals Inc., Cambridge, Massachusetts, USA.ORCID 0000-0002-9762-8552
Chunlin ChenTakeda Pharmaceuticals Inc., Cambridge, Massachusetts, USA.
Nathanael L DirksMetrum Research Group, Tariffville, Connecticut, USA.ORCID 0000-0002-2151-7362
Johan JanssonTakeda Pharmaceuticals Inc., Cambridge, Massachusetts, USA.
Mona AkbariTakeda Pharmaceuticals Inc., Cambridge, Massachusetts, USA.
Shailly MehrotraTakeda Pharmaceuticals Inc., Cambridge, Massachusetts, USA.

Funding

Takeda Pharmaceuticals International
6 · The paper itself

Abstract

We aimed to characterize the population pharmacokinetics (PK) of vedolizumab for acute graft-versus-host disease prophylaxis in adults undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) and assess potential clinically relevant covariates. Dosing, patient characteristics, and PK from a phase 1b, open-label, dose-finding study of vedolizumab 75 mg initial dose escalated to 300 mg and a phase 3 study of vedolizumab 300 mg in patients receiving allo-HSCT were analyzed using a two-compartment population PK model with linear elimination. Covariates included age, race, weight, sex, albumin, lymphocyte count, GvHD type, and concomitant medications. Weight, albumin, and lymphocyte count were time-varying covariates. Model selection was driven by goodness-of-fit criteria, precision of parameter estimates, and visual predictive checks. In 193 patients undergoing allo-HSCT, vedolizumab PK were well described by a two-compartment, linear PK model. Using reference covariate values, final parameter estimates (95% confidence intervals [CI]) were: clearance, 0.148 (0.136, 0.162) L/day; central volume of distribution, 3.12 (3.03, 3.21) L; intercompartmental clearance, 0.500 (0.408, 0.612) L/day; and peripheral volume of distribution, 3.95 (3.52, 4.44) L. Weight and albumin were the most important predictors of vedolizumab PK, with clearance decreasing by ≈20% for low body weight/high albumin and increasing by ≈30% for high body weight/low albumin. There was an inverse relationship between vedolizumab clearance and age, but no detectable effect for lymphocyte count or GvHD type. Post hoc analyses did not detect any relationship between vedolizumab PK and concomitant medications. In summary, the covariates studied did not have a clinically meaningful effect on the PK of vedolizumab.

Indexed as

Antibodies, Monoclonal, HumanizedGraft vs Host DiseaseHematopoietic Stem Cell TransplantationModels, BiologicalTransplantation, HomologousAdolescentAdultAgedClinical Trials, Phase I as TopicClinical Trials, Phase III as TopicDose-Response Relationship, DrugFemaleGastrointestinal AgentsHumansMaleMiddle AgedAntibodies, Monoclonal, HumanizedGastrointestinal Agentsvedolizumaballogeneic hematopoietic stem cell transplantationgraft‐versus‐host disease (GvHD)population pharmacokineticsprophylaxisvedolizumab

Identifiers

PMID39233318
PMCPMC11374527

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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.