literature-filter

Literature filtering identifies relevant papers from search results by applying inclusion-exclusion criteria to PMIDs and abstracts. This Skill automates relevance filtering, duplicate detection, and generates PRISMA-style flow data to streamline systematic review screening and reduce manual curation workload.

Yes, this Skill integrates with Zotero to organize filtered results. It accepts PMIDs and metadata, applies your screening criteria, detects duplicates, and outputs a curated list compatible with Zotero for downstream citation management and full-text organization.

Provide PMIDs, abstracts, and available metadata like citation metrics and full-text availability flags. The Skill uses these inputs to evaluate papers against your criteria, detect duplicates, filter by relevance, and produce a validated dataset ready for review or export.

Duplicate detection compares PMIDs and metadata across your search results to flag and remove redundant entries. This prevents the same paper appearing multiple times across different databases or search strategies, ensuring your filtered output contains only unique studies.

Yes, filtering supports citation-metrics criteria and full-text availability checks alongside relevance and inclusion-exclusion rules. This lets you narrow results to higher-impact papers with accessible full texts, surfacing studies most feasible for your research audit or systematic review.

This Skill generates PRISMA-style flow data showing screening stages—records identified, duplicates removed, records screened, and studies included. This structured output directly supports PRISMA flow diagrams required in systematic review publications and research audit documentation.