Evidence map›Paper›PMID 41733111›Full record

ReviewCPT: pharmacometrics & systems pharmacology2026

Assessment and Benchmarking of Model Informed Approaches in Drug Development for Hemoglobinopathies: A Review of Scientific Advices From January 2000 to December 2024.

Grace Shalom Govere, Jean-Michel Dogné, Flora Musuamba

Abstract readReview
In one paragraph

Review 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 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. Review
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.

Grace Shalom GovereUnité de Recherche en Pharmacologie et toxicologie Clinique (URPC), Namur Research Institute for Life Sciences (NARILIS), University of Namur, Namur, Belgium.ORCID https://orcid.org/0009-0004-1375-6058
Jean-Michel DognéUnité de Recherche en 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 MusuambaUnité de Recherche en 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

Despite the fact that modeling and simulation are now recognized as promising innovative methodologies, their use in the context of development of drugs for sickle cell disease and Thalassemia has not yet been reviewed. Considering the challenges of conducting clinical trials for hemoglobinopathies, our work aims at exploring the current status of use of modeling and simulation by drug developers and their endorsement by regulators, based on European Medicines Agency scientific advices given to industry by the Committee for Medicinal Products for Human Use from January 2000 to December 2024. The present study describes different aspects of how modeling and simulation methods have been used and assessed. Our results highlight the need for an openly accessible structured framework that details the standards/criteria that make a method acceptable for regulators. The use of the ICH M15 credibility assessment framework is suggested for this purpose. Bearing in mind the question-centric approach, a repository of drug development questions and associated methods and data was built from 45 and 31 scientific advices for sickle cell disease and Thalassemia, respectively. The classification of the questions, methods and data based on the question-centric approach enabled modeling and simulation methods to be easily identified, objectively assessed and benchmarked against alternative methods used to address the same questions to evaluate their performance for characterizing benefit/risk of the different drugs.

Indexed as

Drug DevelopmentHemoglobinopathiesAnemia, Sickle CellBenchmarkingComputer SimulationHumansThalassemiamodeling and simulationpharmacometricsregulatory sciencesickle cell diseasethalassemia

Identifiers

PMID41733111
PMCPMC12930287

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.