From evidence discovery to continuous updating, all in one connected system.
A database of more than 11 million enriched research records, connected to a suite of tools covering the entire evidence synthesis process, enables teams to produce high-quality evidence faster and keep it up to date as new studies emerge.
More than 11 million
bibliographic records enriched with metadata
Evidence synthesis today is slow, expensive and highly redundant: many teams repeat the same work and reviews go out of date quickly.
Epistemonikos coined the term Sustainable Knowledge for knowledge produced with the highest quality, the greatest efficiency and the least redundancy. This ecosystem puts that idea into practice.
The ecosystem rests on two pillars that feed each other. The SK Database supplies structured evidence to every stage of the end-to-end system, and the system feeds new metadata back into the database.
A metadata-rich knowledge base of 11M+ records, continuously enriched and open through an API.
Connected tools that use that metadata from search to decision, and contribute new metadata back.
The diagram shows the two pillars of the ecosystem side by side: the SK Database on the left and the SK End-to-End system on the right.
SK Database: a metadata-rich bibliographic knowledge base with more than 11 million enriched records. A Metadata Enrichment Pipeline keeps it growing through four sources: human-curated metadata; semi-automated extraction from systematic reviews (more than 50,000 processed); AI-based enrichment; and user-contributed metadata (coming soon). Below the database, the Epistemonikos API gives developers and partner tools open access to the SK Database.
SK End-to-End system: three connected stages, from top to bottom. 1. Search, with the searchable databases: Epistemonikos Database of Trials (ED-Trials), Epistemonikos Database of Reviews (ED-Reviews) and All-Epistemonikos (more than 11,000,000 records), plus the integrated ABC tool and EET taxonomy. 2. Produce, with the evidence synthesis tools: the Sustainable Knowledge Platform (SKP), covering screening, data extraction, meta-analysis, Summary of Findings tables, figures and tables, manuscript drafting and citation management. 3. Publish and decide, with end-user formats: interactive Evidence Synthesis (iES); and decision-making tools: interactive Evidence to Decision (iEtD), plus the integrated iSoF and iSoQ tools.
Connections: the SK Database feeds records and metadata into the Search stage and into the Produce stage. The Produce stage (SKP) sends user-contributed metadata back into the enrichment pipeline, so each review done in the system also enriches the database.
The SK Database is the master database of Epistemonikos: a bibliographic knowledge base of more than 11 million records, each enriched with the metadata that evidence synthesis needs. A specialized team and several technologies keep it accurate through a continuous, four-part enrichment pipeline:
For more than a decade, the Epistemonikos team has added structured metadata under rigorous quality control.
A large-scale pipeline has processed more than 50,000 systematic reviews and transferred key information from the reviews and their included studies into the database.
Validated machine-learning and large language model "enrichers" add new metadata every day, and the team supervises and refines them continuously.
Teams working in SKP and partner tools will be able to contribute data from their own projects.
The result is a database that keeps growing in accuracy, coverage and value for the whole evidence ecosystem.
The Sustainable Knowledge End-to-End System (SK-E2E) is a connected suite of tools that supports the entire evidence synthesis process, from the initial search to the final decision, powered by the SK Database.
Your search strategy and results move straight into your review project and stay linked to it. When new evidence appears, updating the review takes a few steps instead of starting over. At every stage, the SK Database works in the background: it reduces screening workload, flags studies you may have missed, links related publications and unpublished data, and supplies risk of bias assessments and extracted data.
Since 2012, Epistemonikos has maintained the world's largest database of health-related systematic reviews. It has now been rebuilt and relaunched as ED-Reviews, and it covers a wider range of systematic reviews and other evidence syntheses.
One of the world's largest databases of randomized controlled trials, gathered from journals, trial registries, preprint servers and other sources.
Both databases are free and share a modern search interface.
When you are ready, send your search strategy and results to SKP with one click. The search stays connected to your project, so updates are effortless.
SKP is one platform for every step of a systematic review or other evidence synthesis:
SKP connects directly to the SK Database and uses AI to speed up each step without lowering quality standards. It adapts to different review types, methods, team workflows and output formats.
Publish your review as an interactive website, with layered visualizations, interactive Summary of Findings tables, maps and figures. iES also supports living reviews that update as new evidence is incorporated. Because it is directly integrated with SKP, publishing takes a few clicks.
Bring the evidence from your SKP project straight into the GRADE Evidence to Decision framework. iEtD is an interactive tool for guideline panels and decision-makers who are turning evidence into recommendations.
Building an evidence synthesis tool? Connect it to the SK Database through the Epistemonikos API. You get enriched records, search integration and linked updates in your own product.
Whether you lead a review team, develop guidelines, build evidence tools or fund research, there is a place for you in the ecosystem. Tell us what you are working on and we will help you find the right way in.
Run your next systematic review in SKP and keep it alive as a living review with iES.
Request a demoMove from evidence to recommendations with iEtD, connected to the reviews behind them.
Plan a pilotBring enriched records, search integration and linked updates into your product through the API.
Ask about API accessPartner with us to cut redundant work and keep the evidence your decisions rely on up to date.
Explore a partnershipQuestions, feedback or ideas are always welcome.
