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This chapter describes the interpretation of figures that show results of meta-analyses. The main types of figure covered include the flow chart or PRISMA diagram for study selection, forest plots of results, and funnel plots used to illustrate any potential publication bias.
This chapter gives examples of very basic graphs and charts and how to read them. Such graphs and charts are used by clinicians and by laboratory personnel. One plot that may be relatively overlooked is the normal probability plot, which gives a visual snapshot of the distribution of data. It might be a simple way to non-statistically determine whether or not data are normally or non-normally distributed, or if they are bi- or tri-modal, or log-distributed.