Evidence Gap Maps (EGMs) are tabular and visual summaries of systematic review findings, highlighting well-studied and under-researched areas within a research field. As such, EGMs are useful for directing future research efforts, addressing knowledge gaps, providing justifications for funding, and evaluating the evidence gathered. However, typical EGMs remain at the descriptive level and are thus limited, lacking in-depth substantive conclusions. The presentation aims to show how EGMs can be combined with meta-analysis to increase their substantive conclusiveness, generalizability, and impact. Using an example from personality psychology, synthesized trait-outcome associations are summarized to evaluate the predictive validity of the HEXACOD model, which extends the HEXACO personality model by incorporating Disintegration (i.e., psychotic-like experiences and behaviors). The procedures and merits of this MetaEGM approach are illustrated and discussed.

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