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Improving our understanding of the in vivo modelling of psychotic disorders: A protocol for a systematic review and meta‐analysis

Psychosis represents a set of symptoms against which current available treatments are not universally effective and are often accompanied by adverse side effects. Clinical management could potentially be improved with a greater understanding of the underlying biology and subsequently with the introd...

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Autores principales: Bahor, Zsanett, Nunes‐Fonseca, Cristina, Thomson, Lindsay D.G., Sena, Emily S., Macleod, Malcolm R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367269/
https://www.ncbi.nlm.nih.gov/pubmed/28405408
http://dx.doi.org/10.1002/ebm2.22
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author Bahor, Zsanett
Nunes‐Fonseca, Cristina
Thomson, Lindsay D.G.
Sena, Emily S.
Macleod, Malcolm R.
author_facet Bahor, Zsanett
Nunes‐Fonseca, Cristina
Thomson, Lindsay D.G.
Sena, Emily S.
Macleod, Malcolm R.
author_sort Bahor, Zsanett
collection PubMed
description Psychosis represents a set of symptoms against which current available treatments are not universally effective and are often accompanied by adverse side effects. Clinical management could potentially be improved with a greater understanding of the underlying biology and subsequently with the introduction of novel treatments. Since many clinical drug candidates are identified through in vivo modelling, a deeper understanding of the pre‐clinical field, might help us understand why translation of results from animal models to inform mental health clinical practice has so far been weak. We set out to give a shallow, but broad unbiased overview of experiments looking at the in vivo modelling of psychotic disorders using a systematic review and meta‐analysis. This protocol describes the exact methodology we propose to follow in order to quantitatively review both studies characterizing a model and those experiments that investigate the effects of novel therapeutic options. We are interested in assessing the prevalence of the reporting of measures to reduce risk of bias, and the internal and external validity of the animal models and outcome measures used to validate these models. This generation of strong empirical evidence has the potential to identify areas for improvement, make suggestions for future research avenues, and ultimately inform what we think we know to improve the current attrition rate between bench and bedside in psychosis research. A review like this will also support the reduction of animal numbers used in research and the refinement of experiments to maximize their value in informing the field.
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spelling pubmed-53672692017-04-10 Improving our understanding of the in vivo modelling of psychotic disorders: A protocol for a systematic review and meta‐analysis Bahor, Zsanett Nunes‐Fonseca, Cristina Thomson, Lindsay D.G. Sena, Emily S. Macleod, Malcolm R. Evid Based Preclin Med Systematic Review Protocol Psychosis represents a set of symptoms against which current available treatments are not universally effective and are often accompanied by adverse side effects. Clinical management could potentially be improved with a greater understanding of the underlying biology and subsequently with the introduction of novel treatments. Since many clinical drug candidates are identified through in vivo modelling, a deeper understanding of the pre‐clinical field, might help us understand why translation of results from animal models to inform mental health clinical practice has so far been weak. We set out to give a shallow, but broad unbiased overview of experiments looking at the in vivo modelling of psychotic disorders using a systematic review and meta‐analysis. This protocol describes the exact methodology we propose to follow in order to quantitatively review both studies characterizing a model and those experiments that investigate the effects of novel therapeutic options. We are interested in assessing the prevalence of the reporting of measures to reduce risk of bias, and the internal and external validity of the animal models and outcome measures used to validate these models. This generation of strong empirical evidence has the potential to identify areas for improvement, make suggestions for future research avenues, and ultimately inform what we think we know to improve the current attrition rate between bench and bedside in psychosis research. A review like this will also support the reduction of animal numbers used in research and the refinement of experiments to maximize their value in informing the field. John Wiley and Sons Inc. 2017-03-17 2016-12 /pmc/articles/PMC5367269/ /pubmed/28405408 http://dx.doi.org/10.1002/ebm2.22 Text en © 2017 The Authors. Evidence‐based Preclinical Medicine Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Systematic Review Protocol
Bahor, Zsanett
Nunes‐Fonseca, Cristina
Thomson, Lindsay D.G.
Sena, Emily S.
Macleod, Malcolm R.
Improving our understanding of the in vivo modelling of psychotic disorders: A protocol for a systematic review and meta‐analysis
title Improving our understanding of the in vivo modelling of psychotic disorders: A protocol for a systematic review and meta‐analysis
title_full Improving our understanding of the in vivo modelling of psychotic disorders: A protocol for a systematic review and meta‐analysis
title_fullStr Improving our understanding of the in vivo modelling of psychotic disorders: A protocol for a systematic review and meta‐analysis
title_full_unstemmed Improving our understanding of the in vivo modelling of psychotic disorders: A protocol for a systematic review and meta‐analysis
title_short Improving our understanding of the in vivo modelling of psychotic disorders: A protocol for a systematic review and meta‐analysis
title_sort improving our understanding of the in vivo modelling of psychotic disorders: a protocol for a systematic review and meta‐analysis
topic Systematic Review Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367269/
https://www.ncbi.nlm.nih.gov/pubmed/28405408
http://dx.doi.org/10.1002/ebm2.22
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