Evidence Intelligence™
Understanding how deDiabetes organizes and evaluates research evidence.
Evidence Intelligence™ is the framework that powers every evidence page on deDiabetes. It helps summarize the strength, consistency, and evolution of published diabetes research.
Why two scores?
How strong is the evidence?
How much do studies agree?
Intervention A
Many high-quality studies exist, but their findings are mixed.
Intervention B
There are fewer studies, but they reach very similar conclusions.
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.
- - Study quality
- - Validation
- - Clinical effectiveness
- - Study volume
- - Consistency
EvidenceScore™ summarizes research quality and strength. It does not recommend treatments.
Research Momentum™
Coming SoonHow Scores Are Used
Transparency
Evidence Intelligence™ summarizes published research using deterministic methods. Scores do not replace clinician judgment or individualized medical advice. Research continues to evolve, and scores may change as new studies become available.
EvidenceScore™ and ConsensusScore™ are generated by the Evidence Intelligence Engine™ using deterministic scoring methodologies.
Score components
EvidenceScore™ currently considers these categories. Exact weighting percentages are not published so the methodology can improve over time.
Frequently Asked Questions
Can scores change over time?
Yes. Scores are recalculated as new studies are indexed and existing evidence is reevaluated. A change in score reflects changes in the available evidence, not changes to a specific treatment.
Why can EvidenceScore change?
Scores can change when new studies are indexed, existing evidence is validated, or the underlying evidence record becomes more complete.
Why are two interventions with similar scores different?
A similar score may come from different evidence profiles. One relationship may have more studies, while another may have stronger consistency or higher-quality research.
Can a low score still represent a useful treatment?
Yes. A low score means the currently indexed evidence is limited, mixed, or early. It does not rule out individual clinical usefulness.
Why is ConsensusScore different from EvidenceScore?
ConsensusScore measures agreement across studies. EvidenceScore summarizes overall evidence strength using several signals.
How often are scores updated?
Scores update as the evidence index is refreshed and new research signals become available.
Future metrics
Future versions of Evidence Intelligence™ may introduce additional evidence metrics as the platform expands.