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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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6544332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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