literature-review

Automating a systematic literature review uses multi-database search orchestration across PubMed, arXiv, bioRxiv, Semantic Scholar, and OpenAlex to handle searching, deduplication, and screening workflows in one process.

PRISMA-compliant reporting provides standardized reporting for systematic reviews by documenting search strategies and provenance metadata, ensuring your meta-analysis remains fully reproducible and verifiable.

Yes, you can generate publication-ready markdown and PDF outputs for biomedical literature synthesis using built-in templates that enforce documented search strategies and provenance metadata.

Yes, the Python requests library is required as a dependency to execute multi-database search orchestration and perform citation verification across databases like PubMed, bioRxiv, and Semantic Scholar.

The best way to prepare a literature synthesis from 2015 to 2024 is using an end-to-end workflow that automates title screening, data extraction, quality assessment, and citation verification for publication-ready formatting.

Deduplication during scientific database searching works by identifying and removing overlapping records across OpenAlex, Semantic Scholar, and other sources before proceeding to title and abstract screening.