Forest plots were developed in the 1970s specifically for use in the representation of medical meta-analyses. The BaseCase forest plot is used to visually compare the efficacy of different treatments, or the results of different studies.
BaseCase has always supported forest plots, but due to the recent increase in comparative effectiveness research, we took some time to create a new and improved version. Headed up by software developer Nicolás Hatcher, our development team has given this control a complete makeover, enhancing both styling and capabilities.
The redeveloped forest plot has just been released and is available to all app developers. Some of the new features include a dynamic effect line and labels, an enhanced range of coloring and formatting choices, and more labeling options. The new BaseCase forest plot is more stable, and it has the same level of browser support as the version it replaces. It also includes improved animation to emphasize the differences between outcomes or datasets.
This example shows an imaginary mixed treatment comparison, for three different outcomes.
Results are shown for Treatment A versus its comparators: Placebo, Treatment B and Treatment C. The vertical effect line at 0% represents no improvement versus Treatment A. Treatments to the left of this line perform worse than Treatment A. Treatments to the right of this line perform better than Treatment A. The difference is significant if the horizontal line through the point estimate does not cross the effect line.
Access the Editor Reference Guide within BaseCase for technical help using forest plots.