Evidentia Review
Digital platform by CEDIS/UnB for planning, screening, extraction, and reporting of systematic literature reviews with traceability, collaboration, and reproducible outputs.
Product Description
Evidentia Review is a digital platform by CEDIS/UnB designed to run systematic literature reviews end to end. Available at https://evidentia.cedis.tec.br/, it was built for distributed teams that need to plan protocols, conduct screening, register decisions, and generate reproducible reports with full traceability.
Unlike the project page, which describes the ongoing research and evolution front, this page focuses on the software that has already been delivered for use. Evidentia organizes the full workflow in one environment: planning, screening, extraction, synthesis, and reporting. This makes the product suitable for academic research groups and institutional review processes that require methodological transparency, reviewer collaboration, and auditable history.
What the Product Offers
The main Evidentia Review capabilities include:
- protocol registration and management of research questions, inclusion and exclusion criteria, and extraction forms;
- versioned synthesis templates to standardize reports and review documents over time;
- title and abstract (TIAB) and full-text (FTS) screening with reviewer assignment, decision history, conflict tracking, and consensus support;
- collaborative work with complete audit trails for decisions, updates, and justifications;
- Machine Learning support for prioritization and decision assistance during screening; and
- generation of reproducible reports, structured documents, and outputs aligned with PRISMA 2020.
Workflow Supported by the System
The product was designed to support a real systematic review workflow:
- plan with confidence by registering protocol details, search strategy, criteria, and data collection instruments;
- screen collaboratively by distributing studies among reviewers, handling disagreements, and preserving a full decision history;
- audit extraction work by tracking issues, inconsistencies, and required fixes in collected data; and
- report transparently through reproducible outputs ready to be shared with supervisors, teams, and stakeholders.
Authorship
The product authorship is attributed to:
All affiliated with CEDIS/University of Brasília.
Availability
The product is available at Evidentia Review.