Can a scoping review include a meta-analysis?
No. A meta-analysis requires quality appraisal and homogeneity of studies, which a scoping review does not assess. If the data allow pooling, that is already a systematic review.
Both reviews require a transparent, reproducible search, but they answer different questions. A systematic review asks "does this work and how well"; a scoping review asks "what is known and how is the field organised".
A systematic review is built around a narrow question, often in PICO format: population, intervention, comparison, outcome. It exists to produce a justified estimate of an effect or association.
A scoping review takes a broad question in PCC format: population, concept, context. Its task is to show the volume and nature of research, clarify definitions and identify gaps, not to deliver a verdict.
If the question is narrow, the studies are comparable and you need a "does it work" answer, choose a systematic review. If the field is new, the concepts are fuzzy, the designs are heterogeneous or you first need to know whether enough research exists at all, start with a scoping review.
A common practice: a scoping review as the first stage that shows which sub-question already has enough homogeneous data for a systematic review.
No. A meta-analysis requires quality appraisal and homogeneity of studies, which a scoping review does not assess. If the data allow pooling, that is already a systematic review.
A scoping review usually 2–4 months, a systematic review 6–12 months or more, depending on the size of the literature and the team.
Yes: semantic search, a topic graph with clusters and an extraction table speed up mapping the field. For a systematic review, inclusion decisions and risk-of-bias assessment stay with the researchers.
scid.ai shows topic clusters, years, organisations and links between papers so you can judge the volume and structure of the research.