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Published on: August 16, 2017
Review: Use and misuse of meta-analysis in Animal Science
D Sauvant1, M P Letourneau-Montminy2, P Schmidely1
1Inrae, AgroParisTech, Université Paris-Saclay, UMR Modélisation Systémique Appliquée aux Ruminants, 75005, Paris, France.
This review outlines best practices for conducting meta-analyses in animal sciences, particularly nutrition. It details key phases from data selection and coding to statistical interpretation, ensuring reliable research synthesis.
Area of Science:
- Animal Sciences
- Agricultural Research
- Veterinary Medicine
Background:
- Meta-analyses in animal sciences are growing by 15% annually.
- This review addresses best practices and potential challenges in conducting meta-analyses within animal sciences, with a focus on nutrition.
Purpose of the Study:
- To provide a comprehensive guide on conducting robust meta-analyses in animal sciences.
- To highlight critical phases and potential pitfalls in the meta-analysis process.
Main Methods:
- The review discusses essential phases of meta-analysis: defining objectives, establishing clear data selection/exclusion criteria for traceability, and data coding for accurate interpretation.
- It emphasizes evaluating factor independence and data balance in meta-design for valid statistical analysis.
- Consideration of fixed versus random study effects is also discussed.
Main Results:
- Clear criteria for data selection and coding are crucial for reproducibility and accurate interpretation.
- Assessing factor independence and data balance is essential for the validity of statistical processing.
- The choice between fixed or random study effects generally does not impact conclusions with sufficient experimental data.
Conclusions:
- Adhering to good practices in meta-analysis conduct ensures the reliability and validity of findings in animal sciences.
- Careful attention to each phase, from data selection to statistical considerations, is vital for robust scientific synthesis.
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