davila7-literature-review

Automate a systematic literature review by querying PubMed, bioRxiv, arXiv, and Semantic Scholar simultaneously, then deduplicating results and generating PRISMA-aligned reports. This streamlines rigorous searching and synthesis for biomedical, engineering, and social science topics.

The PRISMA workflow for reproducible literature reviews structures the screening process through deduplication, title/abstract screening, and full-text synthesis. It applies reusable templates to generate publication-ready markdown and PDF outputs for systematic reviews.

Verify citations and extract DOI metadata for academic writing by checking references against Crossref records. This ensures data accuracy during evidence synthesis and supports generating publication-ready markdown outputs.

You can use Python scripts with the requests dependency to search PubMed and arXiv for evidence synthesis. The process supports multi-database queries, deduplication, and thematic synthesis for structured reporting.

Deduplicate search results from multiple academic databases by consolidating queries from PubMed, bioRxiv, arXiv, and Semantic Scholar. This removes redundant records before title/abstract screening and full-text review.

Automated literature review scripts for biomedical systematic reviews depend on the requests library for API access and require manual validation during full-text screening. Users must verify citation metadata independently to ensure reproducibility.