 What is the difference between funnel plot and forest plot? Both are used as a graphical representation in meta-analysis. Funnel plot identifies the publication bias. Here the x-axis will be log of the arts ratio and y-axis will be the standard error. Usually, researchers have the tendency of not publishing the negative results. That is, you can witness a huge gap in the negative side of the results. So, in order to identify this, we use this funnel plot. The forest plot is this where we have the study names on the left side and the observed effect size will be like this with the square proportionate to the weightage that study carries. And this is the diamond or the pooled effect. This is the most important parameter. We need to look at the forest plot based on the point where it falls from the line of no effect. If you want more graphical representation and chart for meta-analysis and systematic review, I have given a link to article in the description. You can look at it.