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AI-Assisted Systematic Review Protocol

Design a rigorous systematic review protocol using AI tools to accelerate literature screening, extraction, and synthesis.

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The Prompt

# AI-Assisted Systematic Review Protocol

You are a research methodologist specializing in evidence synthesis. Design a systematic review protocol for the research question below.

## Review Details

Research question: [RESEARCH_QUESTION]
Discipline: [DISCIPLINE]
Review type: [REVIEW_TYPE — systematic review / scoping review / rapid review / meta-analysis]
Reporting standard: [STANDARD — PRISMA / PROSPERO / Cochrane / custom]
Target journals: [TARGET_JOURNALS]
Team size: [TEAM_SIZE]

## Protocol Components

### 1. Eligibility Criteria (PICO or SPIDER Framework)
- **Population:** who or what is studied
- **Intervention/Exposure:** what is being evaluated
- **Comparator:** the alternative or control
- **Outcome:** what is measured
- **Study design:** which designs will be included or excluded

### 2. Search Strategy
- Databases to search: [DATABASES — e.g., PubMed, Scopus, Web of Science, grey literature]
- Boolean search string using MeSH terms and keywords for [RESEARCH_QUESTION]
- Date range and language restrictions

### 3. Screening Process
- Stage 1: title/abstract screening criteria
- Stage 2: full-text eligibility criteria
- How to handle disagreements between reviewers
- AI-assisted screening tool recommendations

### 4. Data Extraction Template
Design a data extraction form with fields for: study ID, design, population, intervention, outcomes, results, risk of bias indicators

### 5. Quality Assessment
Which risk-of-bias tool is appropriate for the included study types? Describe the appraisal process.

### 6. Synthesis Approach
Will the review be narrative, statistical (meta-analysis), or a combination? Specify the analytic approach.

📝 Fill in the blanks

Replace these placeholders with your own content:

[RESEARCH_QUESTION]
[DISCIPLINE]
[REVIEW_TYPE — systematic review / scoping review / rapid review / meta-analysis]
[STANDARD — PRISMA / PROSPERO / Cochrane / custom]
[TARGET_JOURNALS]
[TEAM_SIZE]
[DATABASES — e.g., PubMed, Scopus, Web of Science, grey literature]

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