Meta-Analysis as a Tool for Evidence-Based Research: A Systematic Research Methodology

Abstract

Meta-analysis is a quantitative approach used to combine findings from multiple independent studies, improving the precision and reliability of scientific conclusions. In veterinary and animal science where research often varies in design, sample size, and outcomes meta-analysis offers a valuable framework for synthesizing evidence and strengthening evidence-based practice. This review provides an accessible overview of the essential steps involved in conducting a meta-analysis for researchers in these fields. The process begins with defining a focused research question, often using structured frameworks such as PICO to clarify the population, interventions, comparisons, and outcomes. A systematic and transparent search strategy is then applied to identify relevant studies, followed by the application of predefined eligibility criteria to ensure consistency and reproducibility. Key data from each study are extracted using standardized methods, and the methodological quality of included studies is assessed to determine the overall strength of the evidence. Effect sizes are calculated and combined using appropriate statistical models to generate pooled estimates, while between-study variation and potential publication bias are evaluated to contextualize the robustness of the findings. By integrating diverse datasets and summarizing overarching trends, meta-analysis supports more confident decision-making in animal health, production, and welfare. Overall, this review emphasizes the importance of meta-analysis as a practical and rigorous tool for synthesizing research evidence, offering guidance for veterinary and animal science researchers seeking to design, interpret, and apply meta-analytic methods.