Systematic reviews, unlike the narrative reviews, is a reproductive method with a minutely detailed description of search strategy, screening process and bias appraisal. Meta-analysis is a statistical method used to merge data of individual studies. The studies are merged in the light of the methodological homogeneity across them.
To find a complete description, you can refer to the Cochrane Handbook.
Maybe a bit an overload but this article identifies 48 review types and also the associated information retrieval requirements.
https://doi.org/10.1111/hir.12276
Sutton A, Clowes M, Preston L, Booth A. Meeting the review family: exploring review types and associated information retrieval requirements. Health Info Libr J 2019;36(3):202–22.
Traditional review is similar to LR based on a collection of studies and personal assessment. The systematic reviews and meta-analyses are more organized, run by a specific package in R, and are more specific in terms of generating output.
Traditional review usually do not follow the statistical differences among the findings, However the systemic and Meta-analysis consider the statistical value among the findings.
I've been working for some time now with meta-analysis and review. In general, the systematic review has a more careful and detailed evaluation of the study itself, which will compose the database. As for the meta-analysis, we can think of a database where we will generate new statistical conclusions on a given subject.