Egger's Test is particularly useful when conducting a meta-analysis involving a substantial number of studies (usually more than 10). It is not recommended for meta-analyses with fewer studies because the test may lack the power to detect asymmetry. Additionally, Egger's Test is more appropriate for continuous outcomes and may be less reliable for binary outcomes.
