A Meta-analysis is a study of studies, and whether or not one gets significant differences can depend on which studies have been included in the meta-analysis. You choose your set, and the differences are significant. I choose a different set of studies--and, suddenly the difference disappears!
Differences from chance need to be compared against an accepted standard of significance, p< .01 rather than casually plotted against 50/50 chance since significance of an effect depends on sample size, distribution of scores, and other factors, sometimes discussed as the "power" of an effect.
Everything in these studies points to marginal differences: nothing to get excited about.
I wish it was different.