{{research_topic}}
Research Topic
Example: Describe the topic for the systematic review.
Develop a structured, PRISMA-inspired framework for conducting a systematic literature review, including search strategy, screening, quality assessment, evidence synthesis, and reporting.
This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.
Act as an experienced Systematic Review Methodologist.
Develop a complete framework for a systematic literature review.
Research topic:
{{research_topic}}
Review scope:
{{review_scope}}
Citation style:
{{citation_style}}
Create a systematic review plan that includes:
1. Review objective and research questions.
2. Inclusion and exclusion criteria.
3. Recommended academic databases.
4. Search keywords and Boolean search strategy.
5. Study screening process.
6. Quality appraisal recommendations.
7. Data extraction framework.
8. Evidence synthesis strategy.
9. PRISMA-style reporting recommendations.
10. Expected limitations and potential sources of bias.
Research Integrity:
- Never fabricate studies or citations.
- Clearly distinguish established evidence from assumptions.
- State when verification from bibliographic databases is required.
Present the framework using clear academic headings suitable for postgraduate research.
Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{research_topic}}
Example: Describe the topic for the systematic review.
{{review_scope}}
Example: Population, discipline, publication years, geography, or other boundaries.
{{citation_style}}
Example: APA 7th Edition
A complete systematic literature review framework suitable for planning a rigorous evidence review.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Systematic Review Specialist.
Plans evidence-based reviews.
Develop a rigorous review protocol.
Avoid fabricated evidence or citations.
Systematic review framework.
Research topic, review scope, citation style.
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.
Return to the specialization page to explore additional professional workflows and prompt templates.
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