Relationship between PREPARE and ARRIVE
The PREPARE guidelines for planning animal experiments are complementary to reporting guidelines such as ARRIVE. They should both be used, to ensure that important topics have not been omitted: PREPARE from day 1 of planning, ARRIVE when manuscripts are to be submitted for publication.
PREPARE includes topics which may not be necessary to report in a scientific paper, but which can seriously affect the scientific validity of an animal study, its reproducibility and its translatability, and animal welfare. 'Happy animals make good science'. In addition PREPARE addresses the potential health risks to both humans and animals, and how to ensure a Culture of Care.
This table shows the 15 points in the PREPARE guidelines checklist, with the 20 points in the ARRIVE guidelines for comparison. Note that, unlike ARRIVE, the topics in PREPARE (which are grouped into three main themes) will not necessarily be addressed in order, when planning an experiment.
Also, the PREPARE checklist is just the top of the iceberg: all the topics in PREPARE are discussed in more detail, with links to international resources, under the headings on the main PREPARE page.
Formulation of the study
1. Literature searches
2. Legal issues
3. Ethical issues, Harm-Benefit Assessment and humane endpoints
4. Experimental design and statistical analysis
Dialogue between scientists and the animal facility
5. Objectives and timescale, funding and division of labour
6. Facility evaluation
7. Education and training
8. Health risks, waste disposal and decontamination
Quality control of the components in the study
9. Test substances and procedures
10. Experimental animals
11. Quarantine and health monitoring
12. Housing and husbandry
13. Experimental procedures
14. Humane killing, release, re-use or re-homing
5. Ethical statement
6. Study design
7. Experimental procedures
8. Experimental animals
9. Housing and husbandry
10. Sample size
11. Allocating animals to experimental groups
12. Experimental outcomes
13. Statistical methods
14. Baseline data
15. Numbers analysed
16. Outcomes and estimation
17. Adverse events
18. Interpretation/scientific implications
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