Evidence map›Paper›PMID 31194784›Full record

ArticlePloS one2019

A standardised framework to identify optimal animal models for efficacy assessment in drug development.

Guilherme S Ferreira, Désirée H Veening-Griffioen, Wouter P C Boon, Ellen H M Moors, Christine C Gispen-de Wied, Huub Schellekens, Peter J K van Meer

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Validity of mental and physical stress models.Neuroscience and biobehavioral reviews · 2024
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  18. Dogs as a Natural Animal Model of Epilepsy.Frontiers in veterinary science · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Guilherme S FerreiraDepartment of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0001-5606-6525
Désirée H Veening-GriffioenDepartment of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0001-5331-2698
Wouter P C BoonCopernicus Institute of Sustainable Development, Innovation Studies, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0003-1218-193X
Ellen H M MoorsCopernicus Institute of Sustainable Development, Innovation Studies, Utrecht University, Utrecht, The Netherlands.
Christine C Gispen-de WiedMedicines Evaluation Board, Utrecht, The Netherlands.
Huub SchellekensDepartment of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Peter J K van MeerDepartment of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPoor translation of efficacy data derived from animal models can lead to clinical trials unlikely to benefit patients-or even put them at risk-and is a potential contributor to costly and unnecessary attrition in drug development.

objectivesTo develop a tool to assess, validate and compare the clinical translatability of animal models used for the preliminary assessment of efficacy. DESIGN AND

resultsWe performed a scoping review to identify the key aspects used to validate animal models. Eight domains (Epidemiology, Symptomatology and Natural History-SNH, Genetic, Biochemistry, Aetiology, Histology, Pharmacology and Endpoints) were identified. We drafted questions to evaluate the different facets of human disease simulation. We designed the Framework to Identify Models of Disease (FIMD) to include standardised instructions, a weighting and scoring system to compare models as well as factors to help interpret model similarity and evidence uncertainty. We also added a reporting quality and risk of bias assessment of drug intervention studies in the Pharmacological Validation domain. A web-based survey was conducted with experts from different stakeholders to gather input on the framework. We conducted a pilot study of the validation in two models for Type 2 Diabetes (T2D)-the ZDF rat and db/db mouse. Finally, we present a full validation and comparison of two animal models for Duchenne Muscular Dystrophy (DMD): the mdx mouse and GRMD dog. We show that there are significant differences between the mdx mouse and the GRMD dog, the latter mimicking the human epidemiological, SNH, and histological aspects to a greater extent than the mouse despite the overall lack of published data.

conclusionsFIMD facilitates drug development by serving as the basis to select the most relevant model that can provide meaningful data and is more likely to generate translatable results to progress drug candidates to the clinic.

Indexed as

Disease Models, AnimalAnimalsDiabetes Mellitus, Type 2DogsDrug DevelopmentMiceModels, AnimalMuscular Dystrophy, DuchennePilot ProjectsRatsReference Standards

Identifiers

PMID31194784
PMCPMC6563989

What OpenQuestion holds

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LicenceCC BY
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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.