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The search strategy is the foundation of your systematic review. EviSyn’s AI analyzes your research question and generates structured, database-specific search queries — a task that traditionally takes 20-40 hours of expert time.

Step 1: Configure Your Strategy

Navigate to Search Strategy from your project dashboard. Search strategy configuration

Settings

SettingOptionsDescription
FrameworkPICO (Quantitative) / PICo (Qualitative)PICO for intervention studies, PICo for qualitative research
ScopeBroad / NarrowBroad captures more results with higher sensitivity; Narrow is more precise
Target DatabasesPubMed, EMBASE, Scopus, CochraneSelect which databases to generate queries for
Additional ContextFree textOptional: add inclusion/exclusion criteria or study type filters
PubMed is available on all plans. EMBASE, Scopus, and Cochrane require API keys configured in Settings.

Previous Strategies

You can generate multiple strategies and compare them. Each strategy is saved with its date, database, and status (draft or executed). Click Generate PICO Strategy (AI) to run the AI decomposition.

Step 2: Review PICO Decomposition

The AI breaks your research question into structured PICO components, each with suggested search terms. PICO decomposition results

What You Get

P — Population

Who is being studied? Includes MeSH terms and free-text synonyms.Example: “Patients planned for lung cancer surgery” → lung cancer, lung neoplasms, NSCLC, thoracic surgery

I — Intervention

What treatment or action is being applied?Example: “Prehabilitation” → preoperative exercise, preoperative rehabilitation, preoperative conditioning

C — Comparator

What is it compared against?Example: “Standard of care” → usual care, no prehabilitation

O — Outcome

What is being measured?Example: “Perioperative outcomes” → postoperative complications, length of stay, mortality
The AI also identifies:
  • Study Design — RCTs, controlled clinical trials, cohort studies
  • Evidence Type — Primary research, systematic reviews, meta-analyses
You can edit the PICO terms before generating queries. Add or remove synonyms to adjust sensitivity.

Step 3: Review & Edit Queries

The AI generates database-specific boolean queries for each PICO element and a combined query. Database-specific search queries

Per-Element Queries

Each PICO element has its own query panel showing:
  • Boolean query with MeSH terms (for PubMed) or free-text terms
  • Get Count button — preview how many results each element returns
  • Editable text — modify queries before executing

Combined Query

At the bottom, the Combined Query merges all elements using AND logic:
(Population terms) AND (Intervention terms) AND (Comparator terms) AND (Outcome terms)
You can:
  • Click Get Count to preview total hits
  • Click Auto-Combine to regenerate the combined query from current elements
  • Edit the combined query directly
Click Execute PUBMED Search to run the query and import results directly into your project.
The hit count badge (e.g., “25 hits”) shows how many papers matched. Papers are imported with full metadata: title, authors, journal, year, DOI, and abstract.

What’s Next?

After executing your search (or uploading files manually), proceed to Import Files to review your imported papers.