How Connections Are Generated

Understand how deDiabetes links research studies to interventions, outcomes, evidence collections, and clinical questions.

What You Are Seeing

When you view a research study, deDiabetes analyzes the study within a broader evidence graph.

The graph connects:

  • Research studies
  • Interventions
  • Outcomes
  • Evidence relationships
  • Evidence collections
  • Clinical questions

These connections help place an individual study within the larger body of diabetes research.

Related Evidence Relationships

A study may be connected to one or more intervention–outcome relationships.

Example:

Dapagliflozin → HbA1c

A relationship is created when the study evaluates an intervention and reports results for a specific outcome.

These relationships are extracted from structured study data and evidence records.

Evidence Collections

Studies can also appear in evidence collections.

Examples:

Dapagliflozin Evidence Hub
HbA1c Evidence Hub

Collections group studies that investigate a common intervention, outcome, or evidence topic.

Evidence Archive Links

The archive links shown on research pages are automatically generated filters that allow you to explore:

  • All studies for an intervention
  • All studies for an outcome
  • All studies examining a specific intervention–outcome relationship

These links do not change the evidence; they simply help you navigate related research.

Questions This Evidence Helps Answer

Questions are generated from intervention–outcome relationships.

Example:

Does dapagliflozin improve HbA1c?

These questions are intended as navigation aids that help readers discover relevant evidence more quickly.

They should not be interpreted as clinical recommendations.

How the Evidence Graph Works

At a high level:

Research Study
       ↓
Intervention(s)
       ↓
Outcome(s)
       ↓
Evidence Relationship
       ↓
Collections & Questions

The graph allows related studies to be grouped together and explored through a consistent evidence framework.

Important Note

Connections are generated from structured evidence data and quality-control rules. They are designed to improve navigation and discovery, but they do not replace reading the original study or reviewing the full body of evidence.