Cargando…

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

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 lar...

Descripción completa

Detalles Bibliográficos
Autores principales: Kringe, Leona, Sena, Emily S, Motschall, Edith, Bahor, Zsanett, Wang, Qianying, Herrmann, Andrea M, Mülling, Christoph, Meckel, Stephan, Boltze, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585919/
https://www.ncbi.nlm.nih.gov/pubmed/32576074
http://dx.doi.org/10.1177/0271678X20931062
_version_ 1783599892680146944
author Kringe, Leona
Sena, Emily S
Motschall, Edith
Bahor, Zsanett
Wang, Qianying
Herrmann, Andrea M
Mülling, Christoph
Meckel, Stephan
Boltze, Johannes
author_facet Kringe, Leona
Sena, Emily S
Motschall, Edith
Bahor, Zsanett
Wang, Qianying
Herrmann, Andrea M
Mülling, Christoph
Meckel, Stephan
Boltze, Johannes
author_sort Kringe, Leona
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7585919
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-75859192020-11-17 Quality and validity of large animal experiments in stroke: A systematic review Kringe, Leona Sena, Emily S Motschall, Edith Bahor, Zsanett Wang, Qianying Herrmann, Andrea M Mülling, Christoph Meckel, Stephan Boltze, Johannes J Cereb Blood Flow Metab Review Articles 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. SAGE Publications 2020-06-23 2020-11 /pmc/articles/PMC7585919/ /pubmed/32576074 http://dx.doi.org/10.1177/0271678X20931062 Text en © The Author(s) 2020
spellingShingle Review Articles
Kringe, Leona
Sena, Emily S
Motschall, Edith
Bahor, Zsanett
Wang, Qianying
Herrmann, Andrea M
Mülling, Christoph
Meckel, Stephan
Boltze, Johannes
Quality and validity of large animal experiments in stroke: A systematic review
title Quality and validity of large animal experiments in stroke: A systematic review
title_full Quality and validity of large animal experiments in stroke: A systematic review
title_fullStr Quality and validity of large animal experiments in stroke: A systematic review
title_full_unstemmed Quality and validity of large animal experiments in stroke: A systematic review
title_short Quality and validity of large animal experiments in stroke: A systematic review
title_sort quality and validity of large animal experiments in stroke: a systematic review
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585919/
https://www.ncbi.nlm.nih.gov/pubmed/32576074
http://dx.doi.org/10.1177/0271678X20931062
work_keys_str_mv AT kringeleona qualityandvalidityoflargeanimalexperimentsinstrokeasystematicreview
AT senaemilys qualityandvalidityoflargeanimalexperimentsinstrokeasystematicreview
AT motschalledith qualityandvalidityoflargeanimalexperimentsinstrokeasystematicreview
AT bahorzsanett qualityandvalidityoflargeanimalexperimentsinstrokeasystematicreview
AT wangqianying qualityandvalidityoflargeanimalexperimentsinstrokeasystematicreview
AT herrmannandream qualityandvalidityoflargeanimalexperimentsinstrokeasystematicreview
AT mullingchristoph qualityandvalidityoflargeanimalexperimentsinstrokeasystematicreview
AT meckelstephan qualityandvalidityoflargeanimalexperimentsinstrokeasystematicreview
AT boltzejohannes qualityandvalidityoflargeanimalexperimentsinstrokeasystematicreview