🔍 Systematic Search
📌 Definition
A systematic search is a structured, transparent, and reproducible method for identifying all relevant literature on a specific research question. It is a fundamental step in systematic reviews and meta-analyses, designed to minimize selection bias and ensure comprehensive evidence retrieval.
🧱 Key Characteristics
- Based on a clearly defined research question (often using PICO: Population, Intervention, Comparison, Outcome)
- Uses multiple databases (e.g., PubMed, Scopus, Cochrane, Embase)
- Includes predefined search terms and Boolean operators (AND, OR, NOT)
- Applies inclusion and exclusion criteria consistently
- Documents the entire process (databases used, search strings, dates, filters applied)
- May include grey literature, conference abstracts, or clinical trial registries
🔬 Example (from neuroscience study)
A systematic search was conducted in PubMed, Scopus, Web of Science, and Cochrane databases using terms related to “NSAIDs,” “craniotomy,” and “postoperative bleeding.” Studies comparing NSAIDs to non-NSAID analgesics in neurosurgery were selected based on predefined eligibility criteria.
📌 Purpose
- Maximize completeness of evidence retrieval
- Reduce bias in the selection of studies
- Ensure reproducibility and transparency of the review process
📂 Output
- A PRISMA flow diagram showing study selection
- A list of all included and excluded studies with justification
- Search strategy appendix (often required in publications)