ArticleILAR journal2021
A Structured Approach to Optimizing Animal Model Selection for Human Translation: The Animal Model Quality Assessment.
Article in ILAR journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Translational assessment instruments for preclinical to first-in-human decision-making: a scoping review.Journal of translational medicine · 2026Article
- Article
- singIST: An integrative method for comparative single-cell transcriptomics between disease models and humans.PLoS computational biology · 2026Article
- A scoping review of ethical decisions and decision tools for experimental animal protocols.BMC medical ethics · 2025Article
- Ideal animal models according to multifaceted mechanisms and peculiarities in neurological disorders: present and challenges.Archives of pharmacal research · 2025Review
- Improvement of a mouse infection model to captureProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Animal models of Takotsubo syndrome: bridging the gap to the human condition.Frontiers in cardiovascular medicine · 2024Review
- Advances, challenges and future applications of liver organoids in experimental regenerative medicine.Frontiers in medicine · 2024Review
- Seminatural environments for rodent behavioral testing: a representative design improving animal welfare and enhancing replicability.Frontiers in behavioral neuroscience · 2023Article
- Preclinical studies performed in appropriate models could help identify optimal timing of combined chemotherapy and immunotherapy.Frontiers in immunology · 2023Review
- Crosstalk between hypoxic cellular micro-environment and the immune system: a potential therapeutic target for infectious diseases.Frontiers in immunology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Animal studies in pharmaceutical drug discovery are common in preclinical research for compound evaluation before progression into human clinical trials. However, high rates of drug development attrition have prompted concerns regarding animal models and their predictive translatability to the clinic. To improve the characterization and evaluation of animal models for their translational relevance, the authors developed a tool to transparently reflect key features of a model that may be considered in both the application of the model but also the likelihood of successful translation of the outcomes to human patients. In this publication, we describe the rationale for the development of the Animal Model Quality Assessment tool, the questions used for the animal model assessment, and a high-level scoring system for the purpose of defining predictive translatability. Finally, we provide an example of a completed Animal Model Quality Assessment for the adoptive T-cell transfer model of colitis as a mouse model to mimic inflammatory bowel disease in humans.
Indexed as
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What OpenQuestion holds
Registered trials
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.