Literature DB >> 1447904

The scope for improving the design of laboratory animal experiments.

M F Festing1.   

Abstract

The factors which need to be taken into account in designing a 'good' experiment are reviewed. Such an experiment should be unbiased, have high precision, a wide range of applicability, it should be simple, and there should be a means of quantifying uncertainty (Cox 1958). The relative precision due to the use of randomized block designs was found to range from 96% to 543% in 5 experiments involving 30 variables. However, a survey of 78 papers published in two toxicology journals showed that such designs were hardly used. Similarly, designs in which more than one factor was varied simultaneously ('factorial designs') were only used in 9% of studies, though interactions between variables such as dose and strain of animal may be common, so that single factor experiments could be misleading. The consequences of increased within-group variability due to infection and genetic segregation were quantified using data published by Gärtner (1990). Both substantially reduced precision, but toxicologists continue to use non-isogenic laboratory animals, leading to experiments with a lower level of precision than is necessary. It is concluded that there is scope for improving the design of animal experiments, which could lead to a reduction in animal use. People using animals should be required to take formal training courses which include sessions on experimental design in order to minimize animal use and to increase experimental efficiency.

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Year:  1992        PMID: 1447904     DOI: 10.1258/002367792780745788

Source DB:  PubMed          Journal:  Lab Anim        ISSN: 0023-6772            Impact factor:   2.471


  8 in total

Review 1.  Designing phenotyping studies for genetically engineered mice.

Authors:  C J Zeiss; J M Ward; H G Allore
Journal:  Vet Pathol       Date:  2011-09-19       Impact factor: 2.221

2.  The use of systematic reviews and reporting guidelines to advance the implementation of the 3Rs.

Authors:  Marc T Avey; Nicole Fenwick; Gilly Griffin
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-03       Impact factor: 1.232

3.  Benefits of a factorial design focusing on inclusion of female and male animals in one experiment.

Authors:  Thorsten Buch; Katharina Moos; Filipa M Ferreira; Holger Fröhlich; Catherine Gebhard; Achim Tresch
Journal:  J Mol Med (Berl)       Date:  2019-04-13       Impact factor: 4.599

4.  The three Rs: the way forward.

Authors:  J Zurlo; D Rudacille; A M Goldberg
Journal:  Environ Health Perspect       Date:  1996-08       Impact factor: 9.031

5.  Maternal Weight Gain as a Predictor of Litter Size in Swiss Webster, C57BL/6J, and BALB/cJ mice.

Authors:  James B Finlay; Xueli Liu; Richard W Ermel; Trinka W Adamson
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-11       Impact factor: 1.232

6.  Quality of interventional animal experiments in Chinese journals: compliance with ARRIVE guidelines.

Authors:  Bing Zhao; Yanbiao Jiang; Ting Zhang; Zhizhong Shang; Weiyi Zhang; Kaiyan Hu; Fei Chen; Fan Mei; Qianqian Gao; Li Zhao; Joey S W Kwong; Bin Ma
Journal:  BMC Vet Res       Date:  2020-11-26       Impact factor: 2.741

7.  Enhancing search efficiency by means of a search filter for finding all studies on animal experimentation in PubMed.

Authors:  Carlijn R Hooijmans; Alice Tillema; Marlies Leenaars; Merel Ritskes-Hoitinga
Journal:  Lab Anim       Date:  2010-06-15       Impact factor: 2.471

8.  The Gold Standard Publication Checklist (GSPC) for improved design, reporting and scientific quality of animal studies GSPC versus ARRIVE guidelines.

Authors:  C Hooijmans; R de Vries; M Leenaars; M Ritskes-Hoitinga
Journal:  Lab Anim       Date:  2010-11-18       Impact factor: 2.471

  8 in total

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