EvidenceFlow
EvidenceFlow is a web-based evidence synthesis platform designed for systematic reviews, meta-analysis, and literature screening. It combines research question and PICO definition, protocol pre-registration, reference import and deduplication, title/abstract/full-text screening, data extraction, statistical synthesis, and PRISMA reporting in one workspace. The platform supports multiple-reviewer workflows including blind dual review, automatic conflict detection, arbitration, role-based access, and audit trails. It integrates with sources and formats such as PubMed, Crossref, OpenAlex, RIS, BibTeX, CSV, and JSON. Its meta-analysis engine can pool effect sizes with fixed-effect and random-effect models and generate publication-ready forest and funnel plots. PRISMA 2020 flow diagrams are generated from live screening counts. EvidenceFlow advertises a free-to-use core workflow with unlimited reviewers and paid AI-assisted screening and extraction. AI-assisted study selection surfaces relevant studies via relevance scoring against the research question. The homepage also mentions omics data integration, including GWAS variant aggregation, weighted gene-level RNA-seq summaries, and chromosome-level plots. Pricing details for paid features are not fully specified on the homepage.
- Category
- Team Collaboration Software
- Pricing
- Unknown
Problem solved
Researchers coordinating evidence synthesis often work across separate tools for screening, extraction, and meta-analysis. This creates manual handoffs, duplicated effort, inconsistent records, and difficulty maintaining an auditable PRISMA-compliant trail. EvidenceFlow addresses this fragmentation by providing a single web workspace for reviewer teams to screen, extract, synthesize, and report evidence while preserving traceability and conflict resolution.
Use cases
- Conducting systematic reviews with multiple reviewers and blind dual screening.
- Managing screening conflicts through automatic detection and third-reviewer arbitration.
- Performing fixed-effect and random-effect meta-analyses and generating forest and funnel plots.
- Creating PRISMA 2020 flow diagrams from live screening and inclusion counts.
- Importing and deduplicating references from PubMed, Crossref, OpenAlex, RIS, BibTeX, CSV, and JSON.
- Prioritizing studies for screening using AI-assisted relevance scoring against a research question.
- Maintaining audit trails and role-based access for collaborative review teams.
- Synthesizing omics evidence with GWAS variant aggregation and gene-level RNA-seq summaries.
Audience
- Researchers
- Data Scientists
- Enterprise
Pros
- Integrates screening, extraction, meta-analysis, and PRISMA reporting in one workspace.
- Supports blind dual review, automatic conflict detection, arbitration, and audit trails.
- Generates PRISMA 2020 flow diagrams from live screening counts.
- Imports from PubMed, Crossref, OpenAlex, and common reference formats such as RIS, BibTeX, CSV, and JSON.
- Homepage states the core workflow is free forever with unlimited reviewers.
Cons
- Paid AI-assisted screening and extraction pricing details are not fully specified on the homepage.
- Omics data integration may not be relevant to all systematic review teams.
- No public GitHub repository or open-source license information was available in the provided sources.
- Quantitative meta-analysis features may require statistical expertise to configure and interpret correctly.
- Independent validation or third-party reviews were not available from the provided homepage source.
Official website: https://evidenceflow.in/
Canonical LambdaBase page: https://www.lambdabase.com/tools/evidenceflow