Evidence map›Paper›PMID 37966273›Full record

ArticleAntimicrobial agents and chemotherapy2023

Semi-mechanistic population pharmacokinetic/pharmacodynamic modeling of a

Perrine Courlet, Justin J Wilkins, Claude Oeuvray, Wei Gao, Akash Khandelwal

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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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.

Perrine CourletMerck Institute for Pharmacometrics, Ares Trading S.A., (an affiliate of Merck KGaA, Darmstadt, Germany), Lausanne, Switzerland.ORCID 0000-0001-9114-7793
Justin J WilkinsOccams Coöperatie UA, Amstelveen, the Netherlands.
Claude OeuvrayThe Global Health Institute of Merck (an affiliate of Merck KGaA, Darmstadt, Germany), Eysins, Switzerland.
Wei GaoEMD Serono Research and Development Institute, Inc., Billerica, Massachusetts, USA.ORCID 0009-0004-3149-8486
Akash KhandelwalThe healthcare business of Merck KGaA, Darmstadt, Germany.ORCID 0000-0002-0472-7173

Funding

Wellcome Trust
6 · The paper itself

Abstract

Cabamiquine is a novel antimalarial agent that demonstrates the potential for chemoprevention and treatment of malaria. In this article, the dose-exposure-response relationship of cabamiquine was characterized using a population pharmacokinetic (PK)/pharmacodynamic (PD) model, incorporating the effects of cabamiquine on parasite dynamics at the liver and blood stages of malaria infection. Modeling was performed sequentially. First, a three-compartmental population PK model was developed, comprising linear elimination, a transit absorption model in combination with first-order absorption, and a recirculation model. Second, this model was expanded into a PK/PD model using parasitemia data from an induced blood stage malaria (IBSM) human challenge model. To describe the parasite growth and killing in the blood, a turnover model was used. Finally, the liver stage parasite dynamics were characterized using data from a sporozoite challenge model (SpzCh), and system parameters were fixed based on biological plausibility. Cabamiquine concentration in the central compartment was used to drive parasite killing at the blood and liver stages. Blood stage minimum inhibitory concentrations (MIC

Indexed as

AntimalarialsMalariaMalaria, FalciparumParasitesPlasmodiumAnimalsHumansPeptide Elongation Factor 2AntimalarialsPeptide Elongation Factor 2dose–responsemalariamodel-based drug development

Identifiers

PMID37966273
PMCPMC10720512

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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.