Forest plot showing risk difference per 1000 patients

Reproduced from Levitan, B.S., Andrews, E.B., Gilsenan, A., Ferguson, J., Noel, R.A., Coplan, P.M., & Mussen, F. 2011. Application of the BRAT framework to case studies: observations and insights. Clin Pharmacol Ther, 89, (2) 217-224.
The forest plot above shows the difference in risk per 1000 patients in using a constructed triptan versus another constructed triptan for the treatment of acute migraine. A forest plot is constructed with dots as the central measures for each efficacy and safety criterion, with additional lower and upper limits (appearing above as orange and blue bars). It can be thought of as a variation of a dot chart. The forest plots are typically used to communicate summary measures such as mean risk difference and risk ratios (the dots) as well as their associated uncertainty e.g. confidence intervals (the range plot). Forest plots can be used as means of benefit-risk communication to specialist audience such as physicians, the regulators and other experts.