# 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.

- Skill: `yogsoth-ai/prisma-screening-3` (Agent Skill)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/prisma-screening-3`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/prisma-screening-3/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/yogsoth-ai/prisma-screening-3

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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")