Strengths and Limitations of Meta-Analysis
10.3904/kjm.2019.94.5.391
- Author:
Young Ho LEE
1
Author Information
1. Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea. lyhcgh@korea.ac.kr
- Publication Type:Meta-Analysis
- Keywords:
Meta-analysis;
Data analysis;
Bias
- MeSH:
Bias (Epidemiology);
Methods;
Sample Size;
Statistics as Topic
- From:Korean Journal of Medicine
2019;94(5):391-395
- CountryRepublic of Korea
- Language:English
-
Abstract:
Meta-analysis is a statistical method that combines and synthesizes multiple studies and integrates their results. Meta-analysis increases the sample size, and in turn, the power to study the effects of interest by combining primary studies and providing a precise estimate of the effects. Data synthesized from meta-analyses are usually more beneficial than the results of narrative reviews. In a meta-analysis, the decisions are transparent, and statistical analysis yields an objective measure of the integrated quantitative evidence. The biases of narrative reviews can be limited or overcome by conducting a meta-analysis. The systematic approach and transparency in meta-analysis help to resolve conflicts and uncertainties between studies, while leading to significant conclusions. However, this method is controversial and may not always be the best tool. Moreover, meta-analysis has several shortcomings, and in some cases, it may not be appropriate. Although meta-analysis has been criticized due to its limitations, there are solutions to such problems. The aim of this review is to describe and discuss the strengths and weaknesses of meta-analysis.
