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  5. Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis
 
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Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis
File(s)
Animal models of chemotherapy-induced peripheral neuropathy A machine-assisted systematic review and meta-analysis.pdf (3.96 MB)
Published version
Author(s)
Currie, Gillian L
Angel-Scott, Helena N
Colvin, Lesley
Cramond, Fala
Hair, Kaitlyn
more
Type
Journal Article
Abstract
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.
Date Issued
2019-05-01
Date Acceptance
2019-04-08
Citation
PLoS Biology, 2019, 17 (5), pp.1-34
URI
http://hdl.handle.net/10044/1/78501
URL
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000243
DOI
https://www.dx.doi.org/10.1371/journal.pbio.3000243
ISSN
1544-9173
Publisher
Public Library of Science (PLoS)
Start Page
1
End Page
34
Journal / Book Title
PLoS Biology
Volume
17
Issue
5
Copyright Statement
© 2019 Currie et al. 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.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000470189800008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Biochemistry & Molecular Biology
Biology
Life Sciences & Biomedicine - Other Topics
INTERLEUKIN-1 RECEPTOR ANTAGONIST
SEARCH FILTER
EFFICACY
BIAS
PAIN
QUALITY
DESIGN
OXALIPLATIN
PREVALENCE
PREVENTION
Publication Status
Published
Article Number
ARTN e3000243
Date Publish Online
2019-05-20
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