SAIMSARA Journal

Machine Generated Science • ISSN 3054-3991

Systematic Review vs Scoping Review: Scoping Review with ☸️SAIMSARA.

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Digital Health

Issue 3, Volume 1, 2026

DOI: 10.62487/saimsara32ffe7cd

Editorial note
• Last update: 2026-03-26 23:05:37
What is this paper about
This paper shows where systematic reviews and scoping reviews truly diverge: one is built to answer narrow, bias-sensitive questions, the other to map broad, uncertain evidence landscapes. Read the full text to see how reporting quality, automation, rapid reviews, overviews, and emerging synthesis methods fit into one practical framework for choosing the right review design.


Abstract: The aim of this paper is to synthesize current methodological guidance, reporting standards, and the role of automation in the conduct of systematic and scoping reviews to provide a comprehensive overview of the evidence synthesis ecosystem. The review utilises 64 studies. This evidence map indicates that the clearest signal across the literature is a functional separation between systematic reviews and scoping reviews: systematic reviews remain the preferred approach for focused questions requiring formal bias assessment, whereas scoping reviews are most useful for broad, heterogeneous, or conceptually unsettled fields. A second prominent signal is that automation has meaningful but incompletely realized potential, with reported screening workload reductions of 60% to 96% in some applications and more than 50% effort savings in others, yet uptake remains uneven across review stages and especially limited for extraction and synthesis tasks. The mapped literature also highlights persistent weaknesses in reporting quality, including nine PRISMA items falling below a 67% adherence threshold in one large assessment, alongside continuing heterogeneity in rapid reviews, overviews, network meta-analyses, and review-method selection. Practically, these findings support choosing review type according to question structure and decision context, while embedding transparent reporting, protocol registration, stakeholder input, and information-specialist expertise to improve trustworthiness. Future research should prioritize empirically validated methodological standards and updated reporting guidance that can harmonize emerging review types and support reliable integration of automation into evidence synthesis workflows.

Keywords: Scoping review; Evidence synthesis; PRISMA reporting guidelines; Rapid review; Automation tools; Knowledge gap identification; Literature searching; Methodological rigor; JBI methodology

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The full evidence review, including the Introduction, Methods, Results, Discussion, Conclusion, figures, and complete reference index, opens after purchase or sign-in. The Evidence Object JSON is a separate machine-readable evidence product: a concentrated synthesis of results, topic-level evidence, and discussion across original and non-original studies. It can be directly input into your LLM, agent, or RAG workflow.

Reference Index (64)