We’ve introduced Search Query Validation in EasySLR to help teams assess whether their search strategy retrieves key known studies before screening begins.

This feature allows users to validate search performance against selected identifiers (PMID, DOI, or Title) and measure recall prior to Title–Abstract screening.

What’s New

• Validate search queries against benchmark studies

• Support for identifier matching using:

  • PubMed ID (PMID)

  • DOI

  • Title (exact and fuzzy matching)

• Combine multiple matching methods for flexible validation

• Upload validation files (CSV supported)

• Generate automated validation metrics:

  • Total Identifiers

  • Found

  • Not Found

  • Recall (%)

  • Searched Across X Articles

• View matched identifiers

• Edit and revalidate identifiers

• Export validation results as CSV

When to Use

• After drafting your search query

• Before starting Title–Abstract screening

• After modifying keywords or Boolean operators

• While preparing protocol documentation

Why This Matters

• Ensures important benchmark studies are captured

• Identifies gaps in search strategy

• Improves recall before screening begins

• Strengthens methodological rigor

• Enhances protocol transparency and documentation

Important Notes

• Validation assesses retrieval performance, not study quality

• High recall does not guarantee high precision

• Revalidation is recommended after major query changes

• Export results for audit and reporting purposes