Prisma Screening

Multi-stage PRISMA screening tactic — progressively filter papers from a large candidate pool to a focused set for deep reading. Four stages (identification, title/abstract screening, full-text screening, inclusion) with documented counts at each stage.

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PRISMA Screening

Multi-stage screening following PRISMA methodology. Progressively filter papers from a large candidate pool to a focused set for deep reading.

Stages

  1. Identification — gather all candidate papers (via paper-overview)
  2. Title/Abstract screening — apply inclusion/exclusion criteria (from define-search-protocol)
  3. Full-text screening — read AI summaries (paper-search) to confirm relevance
  4. Inclusion — final set for deep reading (paper-research)

Available SOPs

  • paper-overview (import) — identification stage
  • paper-search (import) — full-text screening stage
  • paper-research (import) — inclusion stage (deep reading)
  • prisma-flowchart (subagent) — generate PRISMA flow data

Execution Guidance

  • Each stage documents: how many in → how many out → reasons for exclusion
  • prisma-flowchart SOP generates the flow data at the end
  • CC decides exact thresholds for each stage based on inclusion/exclusion criteria from define-search-protocol
  • Typical funnel: 60 identified → 40 title-screened → 30 deep-read
  • Document exclusion reasons at each stage (e.g., "off-topic", "wrong population", "not empirical")

yogsoth-ai/literature-survey/tree/main/skills/prisma-screening commit 8569d907fb

Frequently asked questions

npx skillmds@latest add yogsoth-ai/prisma-screening-3