Evidence map›Paper›PMID 41873742›Full record

ArticleCPT: pharmacometrics & systems pharmacology2026

Use of Modeling and Simulation to Inform the Development of Monoclonal Antibodies to Treat Moderate-to-Severe Asthma: A Retrospective Review of EMA Centralized Procedure From 2014 to 2024.

Hélène Haguet, Jean-Michel Dogné, Flora T Musuamba

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2026. 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

3 authors.

Hélène HaguetUnité de Recherche Pharmacologie et Toxicologie Clinique (URPC), Namur Research Institute for Life Sciences (NARILIS), University of Namur, Namur, Belgium.ORCID https://orcid.org/0000-0002-3123-5289
Jean-Michel DognéUnité de Recherche Pharmacologie et Toxicologie Clinique (URPC), Namur Research Institute for Life Sciences (NARILIS), University of Namur, Namur, Belgium.ORCID https://orcid.org/0000-0003-2107-1804
Flora T MusuambaUnité de Recherche Pharmacologie et Toxicologie Clinique (URPC), Namur Research Institute for Life Sciences (NARILIS), University of Namur, Namur, Belgium.ORCID https://orcid.org/0000-0001-8276-8870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present here a repository of key regulatory questions answered in centralized procedures and evaluate the place of modeling and simulation in marketing authorization process for biologics approved for the treatment of moderate-to-severe asthma from 2014 to 2024. This was done consistently with the ICH M15 recommendations and the ERAMET project that consistently aim to define the framework for assessment of model informed drug development evidence to inform decision-making. We carried out a search for marketing authorization applications for the five approved monoclonal antibodies in the treatment of asthma from 2014 to 2024. We translated the information into essential regulatory questions and classified the questions based on the level of the questions and their granularity. Credibility activities were performed by applying the credibility framework of the ICH M15 guidelines to questions answered by modeling and simulation methods. A total of 190 questions were extracted including 74 questions related to efficacy, 86 to safety, and 30 questions related to pharmacokinetics. The proportion of questions answered oscillated between 51% and 65% for each drug. Modeling and simulation methods were used to answer 25% of the questions. These methods are predominantly used to address pharmacokinetics questions, with 60% of these questions answered in at least one marketing authorization application using these methods. Credibility matrices were fulfilled for questions answered by modeling and simulation methods. We identified the types and roles of modeling and simulation approaches used in the development of monoclonal antibodies for treat moderate-to-severe asthma approved from 2014 to 2024.

Indexed as

Anti-Asthmatic AgentsAntibodies, MonoclonalAsthmaDrug DevelopmentComputer SimulationDrug ApprovalHumansModels, BiologicalRetrospective StudiesAnti-Asthmatic AgentsAntibodies, Monoclonalasthmamonoclonal antibodiespharmacometricsregulatory sciences

Identifiers

PMID41873742
PMCPMC13140839

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.