Meta-Analysis: A Higher Quality of Evidence in Clinical Research Pyramid

Dr. Sonal Jain

Abstract: Meta-analysis is a statistical tool used to systematically and quantitatively estimate the pooled effect of earlierindividual research studies to obtain conclusions about that research subject. The outcomes from a meta-analysis are more precise estimate of the effect of treatment or risk factor for disease, than any individual study. One of the potential advantages of conducting meta-analysis is to obtain an accurate and quantitative review of a large, complex and generally controversial topic in literature. Meticulously conducted meta-analyses are potential tools in evidence-based medicine. The small clinical trials (small sample size) might have inconclusive results on individual basis however, while combining these trials met-analysis increases the statistical power and thus more precise estimate of effect size. Moreover, meta-analysis is also useful for exploring sources of publication bias and quantifying between-study heterogeneity.

Keywords: meta-analysis, systematic review, evidence-based medicine, effect size, forest plot, publication bias, heterogeneity

How to Cite?: Dr. Sonal Jain, "Meta-Analysis: A Higher Quality of Evidence in Clinical Research Pyramid", Volume 9 Issue 3, March 2020, International Journal of Science and Research (IJSR), Pages: 340-349, https://www.ijsr.net/getabstract.php?paperid=SR20304213942, DOI: https://dx.doi.org/10.21275/SR20304213942