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Survey of the Quality of Experimental Design, Statistical Analysis and Reporting of Research Using Animals

Author

Listed:
  • Carol Kilkenny
  • Nick Parsons
  • Ed Kadyszewski
  • Michael F W Festing
  • Innes C Cuthill
  • Derek Fry
  • Jane Hutton
  • Douglas G Altman

Abstract

For scientific, ethical and economic reasons, experiments involving animals should be appropriately designed, correctly analysed and transparently reported. This increases the scientific validity of the results, and maximises the knowledge gained from each experiment. A minimum amount of relevant information must be included in scientific publications to ensure that the methods and results of a study can be reviewed, analysed and repeated. Omitting essential information can raise scientific and ethical concerns. We report the findings of a systematic survey of reporting, experimental design and statistical analysis in published biomedical research using laboratory animals. Medline and EMBASE were searched for studies reporting research on live rats, mice and non-human primates carried out in UK and US publicly funded research establishments. Detailed information was collected from 271 publications, about the objective or hypothesis of the study, the number, sex, age and/or weight of animals used, and experimental and statistical methods. Only 59% of the studies stated the hypothesis or objective of the study and the number and characteristics of the animals used. Appropriate and efficient experimental design is a critical component of high-quality science. Most of the papers surveyed did not use randomisation (87%) or blinding (86%), to reduce bias in animal selection and outcome assessment. Only 70% of the publications that used statistical methods described their methods and presented the results with a measure of error or variability. This survey has identified a number of issues that need to be addressed in order to improve experimental design and reporting in publications describing research using animals. Scientific publication is a powerful and important source of information; the authors of scientific publications therefore have a responsibility to describe their methods and results comprehensively, accurately and transparently, and peer reviewers and journal editors share the responsibility to ensure that published studies fulfil these criteria.

Suggested Citation

  • Carol Kilkenny & Nick Parsons & Ed Kadyszewski & Michael F W Festing & Innes C Cuthill & Derek Fry & Jane Hutton & Douglas G Altman, 2009. "Survey of the Quality of Experimental Design, Statistical Analysis and Reporting of Research Using Animals," PLOS ONE, Public Library of Science, vol. 4(11), pages 1-11, November.
  • Handle: RePEc:plo:pone00:0007824
    DOI: 10.1371/journal.pone.0007824
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    Citations

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    Cited by:

    1. Dean A Fergusson & Marc T Avey & Carly C Barron & Mathew Bocock & Kristen E Biefer & Sylvain Boet & Stephane L Bourque & Isidora Conic & Kai Chen & Yuan Yi Dong & Grace M Fox & Ronald B George & Neil , 2019. "Reporting preclinical anesthesia study (REPEAT): Evaluating the quality of reporting in the preclinical anesthesiology literature," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-15, May.
    2. Carlijn R Hooijmans & Rob B M de Vries & Maroeska M Rovers & Hein G Gooszen & Merel Ritskes-Hoitinga, 2012. "The Effects of Probiotic Supplementation on Experimental Acute Pancreatitis: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-12, November.
    3. Nicole Fenwick & Peter Danielson & Gilly Griffin, 2011. "Survey of Canadian Animal-Based Researchers' Views on the Three Rs: Replacement, Reduction and Refinement," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-14, August.
    4. Rebecca Tuvel, 2015. "Against the Use of Knowledge Gained from Animal Experimentation," Societies, MDPI, vol. 5(1), pages 1-25, March.
    5. Chunyan Cai & Jin Piao & Jing Ning & Xuelin Huang, 2018. "Efficient Two-Stage Designs and Proper Inference for Animal Studies," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(1), pages 217-232, April.
    6. Konrad Neumann & Ulrike Grittner & Sophie K Piper & Andre Rex & Oscar Florez-Vargas & George Karystianis & Alice Schneider & Ian Wellwood & Bob Siegerink & John P A Ioannidis & Jonathan Kimmelman & Ul, 2017. "Increasing efficiency of preclinical research by group sequential designs," PLOS Biology, Public Library of Science, vol. 15(3), pages 1-9, March.
    7. Vivian Leung & Frédérik Rousseau-Blass & Guy Beauchamp & Daniel S J Pang, 2018. "ARRIVE has not ARRIVEd: Support for the ARRIVE (Animal Research: Reporting of in vivo Experiments) guidelines does not improve the reporting quality of papers in animal welfare, analgesia or anesthesi," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-13, May.
    8. Carol Kilkenny & William J Browne & Innes C Cuthill & Michael Emerson & Douglas G Altman, 2010. "Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research," PLOS Biology, Public Library of Science, vol. 8(6), pages 1-5, June.
    9. Stanley E Lazic & Johannes Fuss & Peter Gass, 2014. "Quantifying the Behavioural Relevance of Hippocampal Neurogenesis," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-14, November.
    10. Beverly S Muhlhausler & Frank H Bloomfield & Matthew W Gillman, 2013. "Whole Animal Experiments Should Be More Like Human Randomized Controlled Trials," PLOS Biology, Public Library of Science, vol. 11(2), pages 1-6, February.
    11. David Baker & Katie Lidster & Ana Sottomayor & Sandra Amor, 2014. "Two Years Later: Journals Are Not Yet Enforcing the ARRIVE Guidelines on Reporting Standards for Pre-Clinical Animal Studies," PLOS Biology, Public Library of Science, vol. 12(1), pages 1-6, January.

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