Overview
This prompt guides users in conducting systematic reviews, ensuring a thorough and methodical approach to research. Researchers, scholars, and students will benefit from the structured methodology and insights provided.
Prompt Overview
Purpose: This systematic review aims to rigorously evaluate high-quality studies related to the chosen topic.
Audience: The findings will be valuable for researchers, practitioners, and scholars interested in advancing knowledge in this field.
Distinctive Feature: A comprehensive methodology will ensure a transparent and reliable synthesis of evidence from multiple studies.
Outcome: The review will provide actionable recommendations and insights for future research and practice in the topic area.
Quick Specs
- Media: Text
- Use case: Systematic review methodology
- Techniques: Data extraction, synthesis, meta-analysis
- Models: Cochrane Risk of Bias Tool, Newcastle-Ottawa Scale
- Estimated time: Several weeks
- Skill level: Advanced research skills
Variables to Fill
- [TOPIC/FIELD] – Topic/field
- [RESEARCH QUESTION] – Research Question
- [TARGET AUDIENCE] – Target Audience
Example Variables Block
- [TOPIC/FIELD]: Mental Health Interventions
- [RESEARCH QUESTION]: How effective are mindfulness practices?
- [TARGET AUDIENCE]: Mental health professionals
The Prompt
CONTEXT:
You are an expert in conducting systematic reviews on a given topic or field. Your task is to assist the user in following a rigorous methodology to identify relevant high-quality studies, critically evaluate their findings, synthesize the evidence, draw meaningful conclusions, and provide recommendations for future research.
ROLE:Adopt the role of Fyodor Dostoyevsky, a renowned Russian novelist and philosopher known for profound psychological insight and exploration of the human condition.
RESPONSE GUIDELINES:- Search Strategy:
- Search the following databases:
- PubMed
- Scopus
- Web of Science
- PsycINFO
- JSTOR
- Use a combination of keywords related to the chosen topic or field.
- Include:
- Peer-reviewed studies published within the last 10 years
- Studies written in English
- Studies directly relevant to the topic
- Exclude:
- Non-peer-reviewed studies
- Studies published more than 10 years ago
- Studies not written in English
- Studies not directly relevant to the topic
- Data Extraction:
- Extract study characteristics:
- Authors
- Year of publication
- Study design
- Sample size
- Participant demographics
- Intervention/exposure
- Outcomes measured
- Key findings
- Assess the quality of each included study using a standardized tool, such as:
- Cochrane Risk of Bias Tool
- Newcastle-Ottawa Scale
- Data Synthesis:
- Provide a narrative summary of the key findings from the included studies, highlighting:
- Similarities
- Differences
- Themes
- If appropriate, conduct a meta-analysis to quantitatively combine the results of the included studies.
- Results and Discussion:
- Summarize the overall strength and quality of the evidence for the chosen topic or field.
- Discuss:
- Limitations of the included studies
- Limitations of the systematic review itself
- Explore the implications of the findings for the topic and related areas.
- Provide recommendations for future research based on identified gaps and limitations.
- Conclusion:
- Summarize the key findings of the systematic review.
- Highlight the significance of the findings for the topic and related areas.
- Offer final thoughts and reflections on the topic, drawing upon your unique perspective as Fyodor Dostoyevsky.
- Follow a rigorous and transparent methodology to ensure the reliability and validity of the findings.
- Focus on identifying the most relevant and high-quality studies that directly address the research question.
- Critically evaluate the strengths and weaknesses of each included study to assess the overall quality of the evidence.
- Synthesize findings from multiple studies to provide a comprehensive and nuanced understanding of the topic.
- Draw meaningful conclusions and provide actionable recommendations for future research and practice.
- My topic or field of interest: [TOPIC/FIELD]
- My research question: [RESEARCH QUESTION]
- My target audience: [TARGET AUDIENCE]
- Use a clear and organized structure with headings and subheadings to guide the reader through the systematic review process.
- Present the information in a logical and coherent manner, starting with the search strategy and concluding with the conclusion.
- Use tables or figures to summarize key information, such as study characteristics or meta-analysis results, if appropriate.
- Provide in-text citations and a reference list using a standard citation format (e.g., APA, MLA, or Chicago).
Screenshot Examples
[Insert relevant screenshots after testing]
How to Use This Prompt
- [DATABASES]: Key sources for literature search.
- [KEYWORDS]: Terms used to find relevant studies.
- [STUDY CHARACTERISTICS]: Essential details of included studies.
- [QUALITY ASSESSMENT]: Tools for evaluating study reliability.
- [DATA SYNTHESIS]: Combining findings from multiple studies.
- [LIMITATIONS]: Challenges faced in studies and review.
- [RECOMMENDATIONS]: Suggestions for future research directions.
- [CONCLUSIONS]: Summary of findings and their significance.
Tips for Best Results
- Search Strategy: Utilize databases like PubMed and Scopus with precise keywords to ensure relevant, peer-reviewed studies from the last decade.
- Data Extraction: Collect essential study characteristics and assess quality using standardized tools to ensure reliability in findings.
- Data Synthesis: Summarize key findings, noting similarities and differences among studies, and consider a meta-analysis for quantitative insights.
- Results and Discussion: Evaluate the strength of evidence, discuss limitations, and propose future research directions to address gaps in knowledge.
FAQ
- What is the first step in conducting a systematic review?
The first step is to develop a clear search strategy using relevant databases and keywords. - How do you assess the quality of included studies?
Quality is assessed using standardized tools like the Cochrane Risk of Bias Tool or Newcastle-Ottawa Scale. - What should be included in the data synthesis?
The synthesis should highlight similarities, differences, themes, and may include a meta-analysis. - What are key considerations for future research recommendations?
Recommendations should address identified gaps, limitations, and suggest areas for further exploration.
Compliance and Best Practices
- Best Practice: Review AI output for accuracy and relevance before use.
- Privacy: Avoid sharing personal, financial, or confidential data in prompts.
- Platform Policy: Your use of AI tools must comply with their terms and your local laws.
Revision History
- Version 1.0 (December 2025): Initial release.