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A minimum core outcome dataset for the reporting of preclinical chemotherapeutic drug studies: Lessons learned from multiple discordant methodologies in the setting of colorectal cancer

Lookup NU author(s): Professor Steve Wedge

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Abstract

© 2017 Elsevier B.V. In vivo studies in animal models are critical tools necessary to study the fundamental complexity of carcinogenesis. A constant strive to improve animal models in cancer exists, especially those investigating the use of chemotherapeutic effectiveness. In the present systematic review, colorectal cancer (CRC) is used as an example to highlight and critically evaluate the range of reporting strategies used when investigating chemotherapeutic agents in the preclinical setting. A systematic review examining the methodology and reporting of preclinical chemotherapeutic drug studies using CRC murine models was conducted. A total of 45 studies were included in this systematic review. The literature was found to be highly heterogeneous with various cell lines, animal strains, animal ages and chemotherapeutic compounds/regimens tested, proving difficult to compare outcomes between similar studies or indeed gain any significant insight into which chemotherapeutic regimen caused adverse events. From this analysis we propose a minimum core outcome dataset that could be regarded as a standardised way of reporting results from in vivo experimentation.


Publication metadata

Author(s): West MA, Roman A, Sayan E, Primrose JN, Wedge SR, Underwood TJ, Mirnezami AH

Publication type: Review

Publication status: Published

Journal: Critical Reviews in Oncology/Hematology

Year: 2017

Volume: 112

Pages: 80-102

Print publication date: 01/04/2017

Online publication date: 16/02/2017

Acceptance date: 13/02/2017

ISSN (print): 1040-8428

ISSN (electronic): 1879-0461

Publisher: Elsevier Ireland Ltd

URL: https://doi.org/10.1016/j.critrevonc.2017.02.008

DOI: 10.1016/j.critrevonc.2017.02.008


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