Latest articles, tutorials, and updates about evidence tables and systematic reviews.
Quality assessment frameworks like RoB 2 and ROBIS are methodologically sound, yet researchers often hesitate. The issue isn't rigour—it's the lack of reassurance in real research conditions.
Most evidence tables fail before extraction begins because outcomes are chosen without considering analysis. Learn how to select outcomes that support quantitative or qualitative synthesis for HTA and HEOR decisions.
Learn how to maximize EvidenceTableBuilder for systematic reviews by treating it as a structured data extraction tool, not a summarizer.
Design evidence tables backwards from analysis, not extraction. Learn the core columns, population structure, and effect size formatting that prevent rework and support defensible decisions.
The new Audit Trail feature was the most requested update — and it's finally here. Every extracted answer is now backed by verbatim quotes from the source PDF, with clear pointers to where that information came from.
A good evidence table isn’t "a big spreadsheet of everything you see in the papers" – it’s a table designed backwards from your research question and planned analysis.
Systematic reviews follow a structured 7-step workflow from research question design to manuscript writing, with data extraction often being the messiest stage.
See how the evidence pyramid actually guides screening, data extraction, and evidence tables when you’re running your first systematic review.
Understand the purpose, structure, and benefits of evidence tables so you can confidently interpret and synthesize research findings.
Discover how AI is reshaping screening, extraction, and synthesis so teams can close the evidence production gap faster.
Learn how to prepare your files, upload PDFs, ask effective questions, and extract structured data from research papers in minutes.
Match the right critical appraisal tool to each study design and embed quality judgments into your systematic review workflow.
Learn how to plan, structure, and extract the right variables for high-impact evidence tables in your next systematic review.
Build reliable evidence tables by planning, piloting, and quality checking every step of your data extraction workflow.
Avoid the five pitfalls that derail systematic reviews—from vague questions to weak syntheses—and upgrade your methodology.