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Risk of Bias Tools

Comprehensive support for RoB 2.0, ROBINS-I, QUADAS-2, and more

Risk of Bias Tools

EvidAI supports all major risk of bias assessment tools with AI-assisted evidence identification and structured evaluation.

Supported Tools

Cochrane RoB 2.0

For randomized controlled trials:

Domains Assessed:

  1. Randomization process
  2. Deviations from interventions
  3. Missing outcome data
  4. Measurement of outcome
  5. Selection of reported results

Judgment Options:

  • Low risk
  • Some concerns
  • High risk

ROBINS-I

For non-randomized studies of interventions:

Domains Assessed:

  1. Confounding
  2. Selection of participants
  3. Classification of interventions
  4. Deviations from interventions
  5. Missing data
  6. Measurement of outcomes
  7. Selection of reported results

Judgment Options:

  • Low risk
  • Moderate risk
  • Serious risk
  • Critical risk
  • No information

QUADAS-2

For diagnostic accuracy studies:

Domains Assessed:

  1. Patient selection
  2. Index test
  3. Reference standard
  4. Flow and timing

Judgment Categories:

  • Risk of bias (per domain)
  • Applicability concerns

Newcastle-Ottawa Scale

For observational studies (cohort and case-control):

Categories:

  • Selection
  • Comparability
  • Outcome/Exposure

Star-Based Scoring:

  • Maximum 9 stars
  • Quality thresholds

Additional Tools

Also supported:

  • ROBINS-E (exposures)
  • AMSTAR-2 (systematic reviews)
  • CARE guidelines (case reports)
  • JBI critical appraisal tools

AI-Assisted Assessment

Evidence Identification

For each domain, the AI:

  • Searches full paper text
  • Locates relevant sections
  • Extracts supporting quotes
  • Highlights key information

Preliminary Judgments

AI suggests:

  • Domain ratings
  • Confidence levels
  • Supporting evidence
  • Areas of uncertainty

Human Verification

You always:

  • Review AI suggestions
  • Access source text
  • Make final judgment
  • Add justifications

Assessment Workflow

Individual Study

  1. Select appropriate tool
  2. Review each domain
  3. See AI-extracted evidence
  4. Make/confirm judgment
  5. Document reasoning

Batch Assessment

For similar studies:

  • Apply consistent criteria
  • Compare across studies
  • Identify patterns

Visualization

Traffic Light Plots

Domain-by-domain display:

  • Green: Low risk
  • Yellow: Some concerns
  • Red: High risk

Summary Figures

Aggregate displays:

  • Bar charts
  • Stacked summaries
  • Study-level details

Publication Ready

Export options:

  • High-resolution images
  • Vector formats
  • Editable files

Best Practices

Consistency

  • Calibrate with team
  • Document decision rules
  • Apply uniformly

Documentation

  • Record supporting quotes
  • Explain judgments
  • Note uncertainty
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