| name | prisma-screening |
| description | 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. |
| execution | tactic |
| used-by | systematic-survey |
PRISMA Screening
Multi-stage screening following PRISMA methodology. Progressively filter papers from a large candidate pool to a focused set for deep reading.
Stages
- Identification — gather all candidate papers (via paper-overview)
- Title/Abstract screening — apply inclusion/exclusion criteria (from define-search-protocol)
- Full-text screening — read AI summaries (paper-search) to confirm relevance
- 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")