What does a forest plot show in meta-analysis?

What does a forest plot show in meta-analysis?

It tells you the total number of participants in the treatment and control groups across all the individual studies as well as the averaged statistic and 95% confidence interval. It’s useful to look at this line of numbers and the diamond when drawing conclusions for your meta-analysis/systematic review.

How do you determine heterogeneity in a forest plot?

If the diamond shape does not touch the line of no effect, the difference found between the two groups was statistically significant. In that case, the p-value is usually < 0.05. The I^2 indicates the level of of heterogeneity. It can take values from 0% to 100%.

How do you plot a forest plot?

How to create a forest plot in Excel

1. Create a clustered bar. First, highlight the first two columns containing the study name and the effect size.
2. Add in the row positions.
3. Add a scatter plot to your graph.
4. Remove the clustered bar graph.
5. Add error bars (whiskers) to the scatter points.
6. Format the forest plot.

How is a forest plot used in a meta-analysis?

A forest plot is a commonly used visualization technique in meta-analyses, showing the results of the individual studies (i.e., the estimated effects or observed outcomes) together with their (usually 95%) confidence intervals.

How to create a forest plot in R?

6.2 Forest Plots in R We can produce a forest plot for any type of {meta} meta-analysis object (e.g. results of metagen , metacont , or metabin ) using the forest.meta function. We simply have to provide forest.meta with our {meta} object, and a plot will be created.

How to visualize the results of a meta-analysis?

We now come to a somewhat more pleasant part of meta-analyses, in which we visualize the results we obtained in previous steps. The most common way to visualize meta-analyses is through forest plots. Such plots provide a graphical display of the observed effect, confidence interval, and usually also the weight of each study.

How to order studies in a forest plot?

The variable in the meta-analysis data set by which studies are sorted in the forest plot. If we want to order the results by effect size, for example, we can use the code sortvar = TE. comb.fixed. Logical, indicating if the fixed-effect model estimate should be included in the plot.