Evidence map›Paper›PMID 39716213›Full record

ArticleBMC veterinary research2024

Population pharmacokinetics modelling for clinical dose adjustment of carboplatin in dogs.

Jérémy Béguin, Sarra Mahfoudhi, Marie Uzel, Antoine Rostang, Catherine Ibish, Aude A Ferran, Ludovic Pelligand, Anne Hulin, Matthias Kohlhauer

Abstract read
In one paragraph

Article in BMC veterinary research, 2024. 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

9 authors.

Jérémy BéguinEcole Nationale Vétérinaire d'Alfort, Maisons-Alfort, France.
Sarra MahfoudhiAP-HP, Hôpitaux Universitaires Henri Mondor, Laboratoire de Pharmacologie, Créteil, France.
Marie UzelEcole Nationale Vétérinaire d'Alfort, Maisons-Alfort, France.
Antoine RostangOniris, INRAE, BIOEPAR, Nantes, France.
Catherine IbishOniris VetAgroBio Nantes, Nantes, France.
Aude A FerranINTHERES, Université de Toulouse, INRAE, ENVT, Toulouse, France.
Ludovic PelligandDepartment of Comparative Biomedical Sciences and Department of Clinical Services and Sciences, Royal Veterinary College, London, UK.
Anne HulinAP-HP, Hôpitaux Universitaires Henri Mondor, Laboratoire de Pharmacologie, Créteil, France.
Matthias KohlhauerEcole Nationale Vétérinaire d'Alfort, Maisons-Alfort, France. matthias.kohlhauer@vet-alfort.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarboplatin is a human chemotherapeutic agent which is frequently used in dogs for the management of solid tumors. In human patient, its dosage is adjusted carefully, based on the creatinine clearance computation. In dogs however, the pharmacokinetics of carboplatin is poorly known and the dose 300 mg/m2 is based mostly on empirical data. Here, we aimed at characterizing the pharmacokinetics of carboplatin and determined the influence of several covariates, including creatinine plasma concentration and neutering status, in dogs, and used this model to predict myelotoxicity.

resultsSixteen client owned dogs were included after carboplatin administration (300 mg/m

conclusionBased on our results, plasma creatinine concentration and the sterilization status are relevant explanatory covariates for the pharmacokinetics variability of carboplatin in client owned dogs. Dose adjustment based on these parameters could represent a promising strategy for minimizing thrombocyte toxicity.

Indexed as

Antineoplastic AgentsCarboplatinAnimalsCreatinineDog DiseasesDogsFemaleMaleModels, BiologicalAntineoplastic AgentsCarboplatinCreatinineCarboplatinDogsModellingRenal functionThrombocytopenia

Identifiers

PMID39716213
PMCPMC11664934

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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.