Evidence map›Paper›PMID 36266781›Full record

ArticleAnimal models and experimental medicine2022

Could a phase model help to improve translational animal research?

Benjamin Mayer, Jan Tuckermann, Rainer Muche

Abstract read
In one paragraph

Article in Animal models and experimental medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Establishment and evaluation of an improved rat model of open abdomen.Animal models and experimental medicine · 2024
    Article
  3. Article
  4. Could a phase model help to improve translational animal research?Animal models and experimental medicine · 2022
    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.

Benjamin MayerInstitute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.ORCID 0000-0003-1042-9006
Jan TuckermannInstitute of Comparative Molecular Endocrinology, Ulm University, Ulm, Germany.
Rainer MucheInstitute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnimal models are widely applied in medical research for different purposes. In particular, results from translational experiments may be used for subsequent clinical development. However, transferability of these findings to the human organism is controversial. Among other factors, this may be traced back to a lack of clear differentiation of the evidence (explorative vs. confirmatory) provided by such experimental results. In general, inferential statistics (i.e. p values) should not be interpreted in as confirmatory unless crucial methodological requirements are met.

methodsTherefore, we propose a phase model which reflects the well-established process of clinical research, and we discuss its potential to improve decision making in translational research. The model aims to clarify the reliability of results derived from animal models.

resultsThe phase model proposes subdividing translational, pre-clinical research into pilot, exploration, and confirmation phases. Experiments for which there is no valid estimation of the expected effect size are designated as pilot studies. Based on these data, experiments in subsequent phases may be planned using both appropriate design and statistical methods.

conclusionSeparating the entire process of translational animal research into three phases could contribute to improved transparency of the evidence derived from such experiments.

Indexed as

Animal ExperimentationBiomedical ResearchAnimalsHumansReproducibility of ResultsResearch DesignTranslational Research, Biomedicalconfirmatory trialshypothesis testingresults interpretationtransferability

Identifiers

PMID36266781
PMCPMC9773301

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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.