Evidence map›Paper›PMID 32576074›Full record

SynthesisJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2020

Quality and validity of large animal experiments in stroke: A systematic review.

Leona Kringe, Emily S Sena, Edith Motschall, Zsanett Bahor, Qianying Wang, Andrea M Herrmann, Christoph Mülling, Stephan Meckel, Johannes Boltze

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. An integrated investigation of systemic and localized pathophysiological mechanisms of stroke and multimodal therapeutic strategies.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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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

9 authors.

Leona KringeDepartment of Neuroradiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Emily S SenaCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Edith MotschallInstitute for Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Zsanett BahorCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Qianying WangCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-7779-6815
Andrea M HerrmannDepartment of Neuroradiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Christoph MüllingFaculty of Veterinary Medicine, Institute of Anatomy, Histology and Embryology, Leipzig University, Leipzig, Germany.
Stephan MeckelDepartment of Neuroradiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0001-6468-4526
Johannes BoltzeSchool of Life Sciences, University of Warwick, Coventry, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An important factor for successful translational stroke research is study quality. Low-quality studies are at risk of biased results and effect overestimation, as has been intensely discussed for small animal stroke research. However, little is known about the methodological rigor and quality in large animal stroke models, which are becoming more frequently used in the field. Based on research in two databases, this systematic review surveys and analyses the methodological quality in large animal stroke research. Quality analysis was based on the Stroke Therapy Academic Industry Roundtable and the Animals in Research: Reporting In Vivo Experiments guidelines. Our analysis revealed that large animal models are utilized with similar shortcomings as small animal models. Moreover, translational benefits of large animal models may be limited due to lacking implementation of important quality criteria such as randomization, allocation concealment, and blinded assessment of outcome. On the other hand, an increase of study quality over time and a positive correlation between study quality and journal impact factor were identified. Based on the obtained findings, we derive recommendations for optimal study planning, conducting, and data analysis/reporting when using large animal stroke models to fully benefit from the translational advantages offered by these models.

Indexed as

Disease Models, AnimalAnimal ExperimentationAnimalsHumansReproducibility of ResultsStrokeTranslational Research, BiomedicalLarge animalpreclinical researchstrokestudy qualitystudy validity

Identifiers

PMID32576074
PMCPMC7585919

What OpenQuestion holds

Textmetadata
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.