手法を比較

	PRISMA-ScR準拠のスコーピングレビュー	システマティック・レビュー
分野	科学計量学	科学計量学
系統	Process / pipeline	Process / pipeline
提唱年	2018 (PRISMA-ScR extension); 2005 (scoping review framework)	1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines)
提唱者	Tricco et al. (PRISMA-ScR); Arksey & O'Malley (scoping review framework)	Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004)
種類	Evidence synthesis — scoping review with standardized reporting	Evidence synthesis methodology
原典	Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., ... & Straus, S. E. (2018). PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Annals of Internal Medicine, 169(7), 467–473.	Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401.
別名	PRISMA-ScR scoping review, scoping review with PRISMA-ScR, PRISMA scoping review, transparent scoping review	SLR, systematic review, evidence synthesis review, structured literature review
関連	6	5
概要	A PRISMA-compliant scoping review is a scoping review conducted and reported according to the PRISMA for Scoping Reviews (PRISMA-ScR) extension, a 20-item checklist plus explanation published by Tricco et al. in 2018. Scoping reviews map the breadth and volume of evidence on a topic without synthesizing effect sizes; the PRISMA-ScR overlay adds transparency, reproducibility, and reporting completeness standards analogous to those PRISMA provides for systematic reviews and meta-analyses.	A systematic literature review (SLR) is a structured, reproducible method for identifying, appraising, and synthesizing all relevant studies on a research question. Unlike a narrative review, it follows an explicit, pre-specified protocol — from database search strings through inclusion criteria to data extraction — so that the process is transparent, auditable, and replicable by other researchers. It is widely used in medicine, education, software engineering, and the social sciences to produce the most comprehensive possible evidence base on a topic.