Evidence Intelligence™
Three complementary metrics help interpret the research.
Each metric answers a different scientific question: what impact the evidence suggests, how much confidence to place in that conclusion, and how consistently studies agree.
What impact does the current evidence suggest?
How much confidence should I place in that conclusion?
How consistently do independent studies reach the same conclusion?
What impact does the current evidence suggest?
- - Summarizes the observed impact in the current evidence.
- - Can describe positive, neutral, or negative findings.
- - Does not indicate confidence. Confidence is measured separately by EvidenceScore™.
How much confidence should I place in that conclusion?
- - Calculated from validation, study quality, and research volume.
- - Does not become higher simply because the observed impact is more positive.
- - A neutral or negative conclusion can still have a strong EvidenceScore™.
How consistently do independent studies reach the same conclusion?
- - High consistency means studies generally agree.
- - Agreement may be positive, neutral, or negative.
- - Consistency does not imply benefit.
Why Evidence Intelligence?
Medical research is complex. Different studies may reach different conclusions. Evidence Intelligence™ organizes research into a consistent framework so readers can understand the current state of evidence more quickly without mixing impact, confidence, and agreement into one label.
Connections, Questions, and Summaries
Evidence Intelligence™ also organizes how studies relate to each other. It connects interventions, outcomes, research topics, and supporting studies so readers can move from a single paper to the broader evidence picture.
Evidence connections
Relationships organized using the Dediabetes Evidence Intelligence™ framework.
Questions
Questions are generated from connected evidence so readers can see what a study, topic, or evidence relationship helps answer.
Summaries and insights
Summaries highlight patterns in the published research while keeping metrics, supporting studies, and limitations visible.
How Research Updates Are Incorporated
As new research is indexed, Evidence Intelligence™ can update evidence relationships, supporting study counts, metric inputs, questions, summaries, and topic pages. This is why evidence summaries may change over time.
Organized using the Dediabetes Evidence Intelligence™ framework. The framework is designed to show the current state of published evidence, not a permanent judgment about any intervention.
Frequently Asked Questions
Can metrics change over time?
Yes. Metrics can change as new studies are indexed and existing evidence is reevaluated. A change reflects the current evidence record, not a permanent judgment about a treatment.
Can a negative impact have a strong EvidenceScore?
Yes. EvidenceScore measures confidence in the conclusion, not whether the conclusion is positive.
Does high consistency mean something works?
Not by itself. Consistency means studies generally agree. They may agree on a positive, neutral, or negative finding.
Are these metrics medical advice?
No. Evidence Intelligence summarizes published research and does not replace clinician judgment or individualized medical advice.