Studies of scientific papers reporting animal experiments have revealed many flaws in their design, which are generating considerable concern, not least among funders of research (1). These include, but are not limited to:
- Poor experimental design and risk of bias (2, 3), in particular lack of statistical power (4) and lack of blinding (5)
- Artefacts caused by extraneous environmental factors, such as effects of animal age (6), cage conditions (7, 8, 9), concomitant subclinical infections (10), food/water restriction (11, 12) or the sex of the experimenter (13) or animal (14)
- Poor compliance (15, 16) with guidelines for reporting animal experiments (17), including lack of details about anaesthesia and analgesia (18, 19)
- Poor reproducibility of animal studies (20, 21, 22) when a model is moved from, for example, academic environments to pharmaceutic industry. This was the subject of a seminar organised by funders in the UK in 2015 (23)
- Lack of translatability from animals to humans (24, 25)
The REWARD Alliance website was created to promote a series of papers on this topic in 2014 in The Lancet, to help increase the value of research and reduce waste.
It has been estimated that 85% of research is wasted, usually because it asks the wrong questions, is badly designed, not published or poorly reported. While this primarily diminishes the value of research, it also represents a significant financial loss: an estimated US$ 240,000,000,000 were wasted in Life Sciences research in 2010. However, many causes of this waste are simple problems that could easily be fixed.
- Four erroneous beliefs thwarting more trustworthy research
- Reproducibility: seek out stronger science
- Big names in statistics want to shake up much-maligned P value
- Introducing Therioepistemology: the study of how knowledge is gained from animal research (Joe P. Garner et al.)
- The importance of being second (an Editorial in PLOS Biology acknowledging the value of complementary studies which replicate others)
- Threats to validity in the design and conduct of preclinical efficacy studies: a systematic review of guidelines for in vivo animal experiments (Valerie C. Henderson et al.)
- Ten common statistical mistakes to watch out for when writing or reviewing a manuscript (Makin & Orban de Xivry, 2019)
Did you find what you were looking for?Yes, I found it! No, I did not!
Thanks for your feedback! Please note that we cannot respond unless you supply your email address.
What are you looking for?
Please give us your feedback so we can improve the information on the page. Thank you in advance for your help. Please add your email address if you would like a reply.Please contact us by email if you have any questions.