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Protocol for a systematic review and meta-analysis of data from preclinical studies employing forced swimming test: an update

[Image: see text] OBJECTIVE: Forced swimming test (FST) in rodents is a widely used behavioural test for screening antidepressants in preclinical research. Translational value of preclinical studies may be improved by appraisal of the quality of experimental design and risk of biases, which remains...

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Autores principales: Ramos-Hryb, A B, Bahor, Z, McCann, S, Sena, E, MacLeod, M R, Lino de Oliveira, C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749270/
https://www.ncbi.nlm.nih.gov/pubmed/35047683
http://dx.doi.org/10.1136/bmjos-2017-000043
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author Ramos-Hryb, A B
Bahor, Z
McCann, S
Sena, E
MacLeod, M R
Lino de Oliveira, C
author_facet Ramos-Hryb, A B
Bahor, Z
McCann, S
Sena, E
MacLeod, M R
Lino de Oliveira, C
author_sort Ramos-Hryb, A B
collection PubMed
description [Image: see text] OBJECTIVE: Forced swimming test (FST) in rodents is a widely used behavioural test for screening antidepressants in preclinical research. Translational value of preclinical studies may be improved by appraisal of the quality of experimental design and risk of biases, which remains to be addressed for FST. The present protocol of a systematic review with meta-analysis aims to investigate the quality of preclinical studies employing FST to identify risks of bias in future publications. In addition, this protocol will help to determine the effect sizes (ES) for primary and secondary outcomes according to several aspects of the FST study design. SEARCH STRATEGY, SCREENING ANNOTATION, DATA MANAGEMENT: Publications reporting studies testing different classes of antidepressants in FST will be collected from Medline, SCOPUS and Web of Science databases. A broad list of inclusion criteria will be applied excluding those studies whereby FST is used as a stressor or studies reporting data from co-treatments. For assessing the quality of the included publications, the quality checklist adapted by Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies will be used. If the meta-analysis seems feasible, the ES and the 95% CI will be analysed. The heterogeneity between studies will be assessed by using the χ(2)statistic with n−1 degrees of freedom. Subgroup meta-analysis (meta-regression, and if necessary, stratified regression) will be performed when possible according to characteristics of study design and study quality to assess their impact on efficacy of the treatments. In addition, funnel plotting, Egger regression, and ‘trim and fill’ will be used to assess the risk of publication bias. Results of this protocol will help to create rational methodological guidelines for application of FST in rodents and improve the quality and translational value of preclinical research on antidepressant discovery. REPORTING: A preliminary version of the present protocol has been preregistered with Systematic Review Facility (http://syrf.org.uk/). A preprint version of the current protocol has been registered with Open Science Framework (https://osf.io/9kxm4/). Results will be communicated in scientific meetings and peer-reviewed journals. We plan to conduct an anonymous and online survey within the scientific community to ask researchers about their perception of risk of bias and their experience with the publication of negative results.
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spelling pubmed-87492702022-01-18 Protocol for a systematic review and meta-analysis of data from preclinical studies employing forced swimming test: an update Ramos-Hryb, A B Bahor, Z McCann, S Sena, E MacLeod, M R Lino de Oliveira, C BMJ Open Sci Protocol [Image: see text] OBJECTIVE: Forced swimming test (FST) in rodents is a widely used behavioural test for screening antidepressants in preclinical research. Translational value of preclinical studies may be improved by appraisal of the quality of experimental design and risk of biases, which remains to be addressed for FST. The present protocol of a systematic review with meta-analysis aims to investigate the quality of preclinical studies employing FST to identify risks of bias in future publications. In addition, this protocol will help to determine the effect sizes (ES) for primary and secondary outcomes according to several aspects of the FST study design. SEARCH STRATEGY, SCREENING ANNOTATION, DATA MANAGEMENT: Publications reporting studies testing different classes of antidepressants in FST will be collected from Medline, SCOPUS and Web of Science databases. A broad list of inclusion criteria will be applied excluding those studies whereby FST is used as a stressor or studies reporting data from co-treatments. For assessing the quality of the included publications, the quality checklist adapted by Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies will be used. If the meta-analysis seems feasible, the ES and the 95% CI will be analysed. The heterogeneity between studies will be assessed by using the χ(2)statistic with n−1 degrees of freedom. Subgroup meta-analysis (meta-regression, and if necessary, stratified regression) will be performed when possible according to characteristics of study design and study quality to assess their impact on efficacy of the treatments. In addition, funnel plotting, Egger regression, and ‘trim and fill’ will be used to assess the risk of publication bias. Results of this protocol will help to create rational methodological guidelines for application of FST in rodents and improve the quality and translational value of preclinical research on antidepressant discovery. REPORTING: A preliminary version of the present protocol has been preregistered with Systematic Review Facility (http://syrf.org.uk/). A preprint version of the current protocol has been registered with Open Science Framework (https://osf.io/9kxm4/). Results will be communicated in scientific meetings and peer-reviewed journals. We plan to conduct an anonymous and online survey within the scientific community to ask researchers about their perception of risk of bias and their experience with the publication of negative results. BMJ Publishing Group 2019-05-31 /pmc/articles/PMC8749270/ /pubmed/35047683 http://dx.doi.org/10.1136/bmjos-2017-000043 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Protocol
Ramos-Hryb, A B
Bahor, Z
McCann, S
Sena, E
MacLeod, M R
Lino de Oliveira, C
Protocol for a systematic review and meta-analysis of data from preclinical studies employing forced swimming test: an update
title Protocol for a systematic review and meta-analysis of data from preclinical studies employing forced swimming test: an update
title_full Protocol for a systematic review and meta-analysis of data from preclinical studies employing forced swimming test: an update
title_fullStr Protocol for a systematic review and meta-analysis of data from preclinical studies employing forced swimming test: an update
title_full_unstemmed Protocol for a systematic review and meta-analysis of data from preclinical studies employing forced swimming test: an update
title_short Protocol for a systematic review and meta-analysis of data from preclinical studies employing forced swimming test: an update
title_sort protocol for a systematic review and meta-analysis of data from preclinical studies employing forced swimming test: an update
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749270/
https://www.ncbi.nlm.nih.gov/pubmed/35047683
http://dx.doi.org/10.1136/bmjos-2017-000043
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