Transparency / Research coverage

What CureCurrent actually covers

These counts come from the latest published CureCurrent dataset, not a real-time query of ClinicalTrials.gov. They help you understand what the platform can find and where mappings or research sites may be incomplete.

Published record coverage

MeasureCount
Normalized MONDO disease concepts36,057
Normalized RxNorm drug concepts93,213
Distinct clinical trial registry records134,878
Trials marked recruiting in the published registry14,438
Mapped research cities500

Most recent imported clinical-trial publication timestamp (server time): 2026-10-15 11:18:46.332092. This is when records reached the published database, not necessarily when a clinical-trial sponsor last updated the registry.

Mapping completeness

Published registry label observationsLinked to normalized entityCoverage rate
Condition-label observations: 269,569127,33247.2%
Intervention-label observations: 237,18340,75817.2%

These are label observations, not unique diseases, medications, clinical trials or people. A single registered trial can contain multiple condition and intervention labels. A non-null normalized identifier is counted as linked here, without implying that the underlying clinical relationship is proven or that unmapped labels are unimportant.

What coverage does not prove

A high trial count does not demonstrate effectiveness, regulatory approval, safety, scientific quality or available appointments. A zero result for one normalized identity may reflect unresolved mapping, incomplete publication or source terminology. The data source can be updated after CureCurrent last synchronized. City coordinates and site observations do not directly measure patient enrollment.

Before acting on a study, follow its NCT identifier to ClinicalTrials.gov and inspect the latest record. For terminology differences, consult MONDO or RxNorm.

How we compute these figures

The displayed totals are direct database counts from CureCurrent's current published projections. Condition mapping counts rows with a populated canonical disease ID; intervention mapping counts rows with a populated canonical drug ID. Enrollment statistics reflect the study's registry status, not confirmed capacity at each site. See the methodology and research reading guides for how to interpret them.