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Method parameters' impact on mortality and variability in mouse stroke experiments: a meta-analysis
Örebro University, School of Medical Sciences. Dept of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.ORCID iD: 0000-0001-8813-0384
Dept of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.
Dept of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.
Dept of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.
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2016 (English)In: International Journal of Stroke, ISSN 1747-4930, E-ISSN 1747-4949, Vol. 11, no SUPP 3, p. 108-108Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

Background/Objectives: Although hundreds of promising substances have been tested in clinical trials, thrombolysis currently remains the only specific pharmacological treatment for ischemic stroke. Poor quality, e.g. low statistical power, in the preclinical studies has been suggested to play an important role in these failures. Therefore, it would be attractive to use animal models optimized to minimize unnecessary mortality and outcome variability, or at least to be able to power studies more exactly by predicting variability and mortality given a certain experimental setup. The possible combinations of methodological parameters are innumerous, and an experimental comparison of them all is therefore not feasible.

Design/Method: As an alternative approach, we extracted data from 334 experimental mouse stroke articles and, using a hypothesis-driven meta-analysis, investigated the method parameters' impact on infarct size variability and mortality.

Results: The use of Swiss and C57BL6 mice as well as permanent occlusion of the middle cerebral artery rendered the lowest variability of the infarct size while the emboli methods increased variability. The use of Swiss mice increased mortality.

Conclusions: Our study offers guidance for researchers striving to optimize mouse stroke models.

Place, publisher, year, edition, pages
London, England: Sage Publications, 2016. Vol. 11, no SUPP 3, p. 108-108
National Category
Cardiac and Cardiovascular Systems
Research subject
Cardiology
Identifiers
URN: urn:nbn:se:oru:diva-54679ISI: 000386912100265OAI: oai:DiVA.org:oru-54679DiVA, id: diva2:1064924
Available from: 2017-01-13 Created: 2017-01-13 Last updated: 2018-07-23Bibliographically approved

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Ingberg, EdvinStröm, Jakob O.

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