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Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis

We report a systematic review and meta-analysis of research using animal models of chemotherapy-induced peripheral neuropathy (CIPN). We systematically searched 5 online databases in September 2012 and updated the search in November 2015 using machine learning and text mining to reduce the screening...

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Autores principales: Currie, Gillian L., Angel-Scott, Helena N., Colvin, Lesley, Cramond, Fala, Hair, Kaitlyn, Khandoker, Laila, Liao, Jing, Macleod, Malcolm, McCann, Sarah K., Morland, Rosie, Sherratt, Nicki, Stewart, Robert, Tanriver-Ayder, Ezgi, Thomas, James, Wang, Qianying, Wodarski, Rachel, Xiong, Ran, Rice, Andrew S. C., Sena, Emily S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544332/
https://www.ncbi.nlm.nih.gov/pubmed/31107871
http://dx.doi.org/10.1371/journal.pbio.3000243
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author Currie, Gillian L.
Angel-Scott, Helena N.
Colvin, Lesley
Cramond, Fala
Hair, Kaitlyn
Khandoker, Laila
Liao, Jing
Macleod, Malcolm
McCann, Sarah K.
Morland, Rosie
Sherratt, Nicki
Stewart, Robert
Tanriver-Ayder, Ezgi
Thomas, James
Wang, Qianying
Wodarski, Rachel
Xiong, Ran
Rice, Andrew S. C.
Sena, Emily S.
author_facet Currie, Gillian L.
Angel-Scott, Helena N.
Colvin, Lesley
Cramond, Fala
Hair, Kaitlyn
Khandoker, Laila
Liao, Jing
Macleod, Malcolm
McCann, Sarah K.
Morland, Rosie
Sherratt, Nicki
Stewart, Robert
Tanriver-Ayder, Ezgi
Thomas, James
Wang, Qianying
Wodarski, Rachel
Xiong, Ran
Rice, Andrew S. C.
Sena, Emily S.
author_sort Currie, Gillian L.
collection PubMed
description We report a systematic review and meta-analysis of research using animal models of chemotherapy-induced peripheral neuropathy (CIPN). We systematically searched 5 online databases in September 2012 and updated the search in November 2015 using machine learning and text mining to reduce the screening for inclusion workload and improve accuracy. For each comparison, we calculated a standardised mean difference (SMD) effect size, and then combined effects in a random-effects meta-analysis. We assessed the impact of study design factors and reporting of measures to reduce risks of bias. We present power analyses for the most frequently reported behavioural tests; 337 publications were included. Most studies (84%) used male animals only. The most frequently reported outcome measure was evoked limb withdrawal in response to mechanical monofilaments. There was modest reporting of measures to reduce risks of bias. The number of animals required to obtain 80% power with a significance level of 0.05 varied substantially across behavioural tests. In this comprehensive summary of the use of animal models of CIPN, we have identified areas in which the value of preclinical CIPN studies might be increased. Using both sexes of animals in the modelling of CIPN, ensuring that outcome measures align with those most relevant in the clinic, and the animal’s pain contextualised ethology will likely improve external validity. Measures to reduce risk of bias should be employed to increase the internal validity of studies. Different outcome measures have different statistical power, and this can refine our approaches in the modelling of CIPN.
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spelling pubmed-65443322019-06-17 Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis Currie, Gillian L. Angel-Scott, Helena N. Colvin, Lesley Cramond, Fala Hair, Kaitlyn Khandoker, Laila Liao, Jing Macleod, Malcolm McCann, Sarah K. Morland, Rosie Sherratt, Nicki Stewart, Robert Tanriver-Ayder, Ezgi Thomas, James Wang, Qianying Wodarski, Rachel Xiong, Ran Rice, Andrew S. C. Sena, Emily S. PLoS Biol Meta-Research Article We report a systematic review and meta-analysis of research using animal models of chemotherapy-induced peripheral neuropathy (CIPN). We systematically searched 5 online databases in September 2012 and updated the search in November 2015 using machine learning and text mining to reduce the screening for inclusion workload and improve accuracy. For each comparison, we calculated a standardised mean difference (SMD) effect size, and then combined effects in a random-effects meta-analysis. We assessed the impact of study design factors and reporting of measures to reduce risks of bias. We present power analyses for the most frequently reported behavioural tests; 337 publications were included. Most studies (84%) used male animals only. The most frequently reported outcome measure was evoked limb withdrawal in response to mechanical monofilaments. There was modest reporting of measures to reduce risks of bias. The number of animals required to obtain 80% power with a significance level of 0.05 varied substantially across behavioural tests. In this comprehensive summary of the use of animal models of CIPN, we have identified areas in which the value of preclinical CIPN studies might be increased. Using both sexes of animals in the modelling of CIPN, ensuring that outcome measures align with those most relevant in the clinic, and the animal’s pain contextualised ethology will likely improve external validity. Measures to reduce risk of bias should be employed to increase the internal validity of studies. Different outcome measures have different statistical power, and this can refine our approaches in the modelling of CIPN. Public Library of Science 2019-05-20 /pmc/articles/PMC6544332/ /pubmed/31107871 http://dx.doi.org/10.1371/journal.pbio.3000243 Text en © 2019 Currie et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Meta-Research Article
Currie, Gillian L.
Angel-Scott, Helena N.
Colvin, Lesley
Cramond, Fala
Hair, Kaitlyn
Khandoker, Laila
Liao, Jing
Macleod, Malcolm
McCann, Sarah K.
Morland, Rosie
Sherratt, Nicki
Stewart, Robert
Tanriver-Ayder, Ezgi
Thomas, James
Wang, Qianying
Wodarski, Rachel
Xiong, Ran
Rice, Andrew S. C.
Sena, Emily S.
Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis
title Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis
title_full Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis
title_fullStr Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis
title_full_unstemmed Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis
title_short Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis
title_sort animal models of chemotherapy-induced peripheral neuropathy: a machine-assisted systematic review and meta-analysis
topic Meta-Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544332/
https://www.ncbi.nlm.nih.gov/pubmed/31107871
http://dx.doi.org/10.1371/journal.pbio.3000243
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