What is an Evidence Table?

Evidence tables are structured summaries of data extracted from multiple research studies. They transform complex findings into organized, comparable formats that support systematic reviews and meta-analyses by enabling side-by-side comparison of study characteristics, methods, and results.

If you’re building your first table, start here: Getting Started with Evidence Tables.

Core Components

Most evidence tables include:

Study Identification: Author, year, title, journal, and location
Study Characteristics: Design (RCT, cohort, etc.), sample size, duration, and funding
Participants: Demographics, inclusion criteria, and baseline characteristics
Interventions: Treatment details, dosages, and control groups (for intervention studies)
Outcomes: Primary/secondary measures, definitions, and assessment methods
Results: Effect sizes, confidence intervals, and adverse events
Quality Assessment: Risk of bias ratings and methodological quality scores

Evidence Table Example (Table of Evidence Template)

Here’s a simple “table of evidence” template you can adapt. Each row is one study; each column is one variable you’ll later want to compare or analyse.

Study (Author, Year)	Design	Population (n)	Intervention / Exposure	Comparator	Outcome (definition + timepoint)	Result (effect size + CI)	Risk of bias	Notes
Smith 2022	RCT	120	Drug A 10mg daily	Placebo	Pain score (12 weeks)	MD -1.2 (95% CI -1.9 to -0.5)	Some concerns	Outcome definition differed

If you want a column-by-column breakdown (and why some “standard” columns cause rework later), use: What Columns Should an Evidence Table for a Systematic Review Include?.

Evidence Table Types (Including an Evidence Summary Table)

Types include:

Descriptive tables (study characteristics)
Results tables (outcome data)
Quality assessment tables (risk of bias)
Combined tables (comprehensive summaries)

Benefits:

Enable systematic comparison across studies
Facilitate transparent, reproducible data extraction
Support critical appraisal and quality assessment
Streamline pattern identification and decision-making

Creating Effective Evidence Tables

To create useful evidence tables:

Start with your research question - Design backwards from your planned analysis to ensure the table supports meaningful comparisons
Read your studies first - Understand the landscape before committing to columns
Structure systematically - Include study characteristics, demographics, and comparable outcomes
Standardize data - Use consistent terminology and harmonize units across studies
Present clearly - Use formatting that enhances readability and supports your analysis goals

If you’re deciding what to extract and how to structure it, this is the next best read: What Columns Should an Evidence Table for a Systematic Review Include?.

For a detailed workflow on analysis-driven table design, see: Analysis-Driven Design of Evidence Tables.

Modern Evidence Tables

Digital tools are transforming evidence tables with interactive features, automated data extraction, and collaborative capabilities. Platforms like Evidence Table Builder streamline the creation process, making evidence synthesis more efficient and reproducible. Learn how to maximize EvidenceTableBuilder specifically for systematic literature reviews: How Best to Use EvidenceTableBuilder for Systematic Literature Reviews

Evidence tables remain essential for systematic reviews, enabling researchers to organize complex data, facilitate critical analysis, and communicate findings transparently in our evidence-based world.

What is an Evidence Table?