Month 1

Systematic Literature Review

From research question to publication-ready report — in hours, not months.

Run PRISMA, SPIDER, and scoping reviews with 6 sequential AI agents. Triages 50+ abstracts, extracts data, evaluates quality (RoB 2 + GRADE), and generates the full report.

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A systematic literature review is the foundation of every evidence-based health product. Abkus Academic automates the entire pipeline — from PICO/PICOS protocol design to the final synthesized report — using six specialized AI agents working in sequence. Each agent hands off structured output to the next, ensuring traceability and methodological rigor that meets journal and regulatory standards.

How it works

  1. Protocol Agent Defines the PICO/PICOS/SPIDER question, inclusion/exclusion criteria, and selects the appropriate framework (PRISMA, scoping, or PCC) based on your research type.
  2. Search Agent Queries PubMed/NCBI E-utilities in real time. Returns abstracts, MeSH terms, author affiliations, and publication metadata for up to 500 results per search.
  3. Screening Agent Applies your inclusion/exclusion criteria to each abstract. Triages 50+ abstracts per minute with reasoning for each decision — fully auditable.
  4. Full-Text Agent Flags included papers for full-text retrieval. Extracts study design, sample sizes, interventions, outcomes, and statistical results from uploaded PDFs.
  5. Quality Agent Applies RoB 2 (risk of bias for randomized trials) and GRADE (certainty of evidence) to each included study. Generates the evidence matrix.
  6. Synthesis Agent Produces the final narrative synthesis, PRISMA flow diagram data, and structured report ready for export to DOCX, Markdown, or LaTeX.

What you get

  • PRISMA 2020, SPIDER, scoping review (JBI), and PCC frameworks
  • Real-time PubMed integration via NCBI E-utilities API
  • Screening with AI-generated justification per abstract
  • RoB 2 risk of bias assessment for randomized controlled trials
  • GRADE certainty of evidence for each outcome
  • PRISMA flow diagram data (records identified, screened, included)
  • Export to DOCX, Markdown, and LaTeX
  • Full audit trail — every decision logged and traceable
  • Supports regulatory submissions: FDA, EMA, ANVISA literature sections

Who it is for

  • PhD and master's students conducting systematic reviews
  • Principal investigators submitting NIH R01, R21, or SBIR grants
  • Regulatory affairs teams building clinical evidence for device submissions
  • Research groups conducting Cochrane-style meta-analyses
  • CROs supporting evidence dossier preparation

Systematic Literature Review

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