What Is a Forest Plot?
Looking for the full method? Read the detailed guide: How to Interpret a Forest Plot.
A forest plot is a graph used in meta-analysis that shows the effect estimate and confidence interval for each included study, usually with a pooled estimate at the bottom. It lets you see size, direction and consistency of effects at a glance.
Example
Invented for teaching: Each study appears as a square on a horizontal line; the line shows its 95% confidence interval. A vertical line marks no effect (1 for ratios, 0 for differences), and a diamond shows the pooled result.
Common misunderstanding
A pooled diamond is not necessarily the "truth": it inherits the biases of the studies and may hide heterogeneity. Also, a confidence interval that crosses the line of no effect means the result is uncertain, not that there is definitely no effect.
Learn more
See How to Interpret a Forest Plot. MRN's free forest plot generator can draw one from your own numbers.
References and further reading
- Higgins JPT, Thomas J, Chandler J, et al., editors. Cochrane Handbook for Systematic Reviews of Interventions. Cochrane. Link
- Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi:10.1136/bmj.n71
Related reading
This page is general educational information about research methods. It is not medical, legal or regulatory advice; follow your institution's ethics board and your target journal's instructions.
