GPT-4o
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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.
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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