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    Search Query Validation Added to PubMed

    April 1, 2026

    EnhancementChangelog

    EasySLR has upgraded the PubMed Query Generation by introducing Search Query Validation, enabling users to not only build structured queries but also evaluate their effectiveness before moving to screening.

    Overview

    The Advanced Query Builder now combines structured query construction with built-in validation capabilities, allowing researchers to create, refine, and assess PubMed search strategies within a single interface.

    In addition to real-time query building, users can now measure recall and verify whether key benchmark studies are captured—ensuring stronger methodological rigor and transparency

    What’s New

    Search Query Validation

    • Validate PubMed search queries against known benchmark studies

    • Check whether key identifiers (DOI, PMID, Title) are retrieved

    • Identify missing studies before screening begins

    • Measure recall (%) to evaluate search performance


    Real-Time Query Preview

    • View and edit the generated query instantly

    • Combine search lines and adjust Boolean operators

    • Maintain full control over query structure

    Live Result Count

    • Retrieve real-time result counts from PubMed

    • Estimate screening volume and refine search scope

    Built-In Filters

    • Apply filters such as publication date, text availability, article type, and attributes

    • Refine results before finalizing the search strategy

    Search History Tracking

    • Automatically save query, result count, recall, and timestamp

    • Store up to 20 search iterations across sessions

    • Enable comparison and documentation of search evolution 

    Why This Matters

    This enhancement helps teams:

    • Validate search strategies before screening

    • Ensure key studies are not missed

    • Improve recall and overall search quality

    • Maintain transparent and reproducible documentation

    By combining query building and validation, EasySLR ensures that PubMed search strategies are both well-structured and methodologically robust before progressing to the next stage.

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