EU Clinical Trials Register (EU CTR)

Tags:databaserandom sampleprimary outcomeRCTHover over the tag text for details.
Domainclinical trials
Dataregistry of 8.7k clinical trials
Note

To download only this data file: euctr.rds (1.9 MB)

To download all BEAR datasets, click here.

Description

Trials which reported results at the EU Clinical Trials Register, https://www.clinicaltrialsregister.eu/ (European Medicines Agency 2025).

Snapshot date: 18 January 2026

Data collection: we used R package ctrdata (Herold 2025) to create a snapshot of EU CTR (collection = "euctr"); we downloaded trial records with results only. We stored the downloaded records in a local SQLite database and extracted a fixed set of protocol and results fields plus several fields computed by ctrdata (trial phase, sample size, and a “first primary endpoint” p-value/size derived by the package). We only use the EUCTR portion of this extraction in BEAR.

Data availability: EUCTR is publicly accessible. The EUCTR legal notice notes that publication on EUCTR does not constitute an endorsement of the information reported.

Data processing: extensive. We use only primary endpoints. We default missing CI levels to 95% and where truncation of p-values was not stated we assume equality (the latter is the case for about 15% of data). Where data does not report whether a test is one- or two-sided, we assume two-sided. Rest of the derivation of z-values follows the
Standard procedure for dealing with p-values and confidence intervals. We set year to the entry date year since completion dates were unavailable. We dropped rows only when z was missing; infinite z-values are retained. We harmonise phase labels to follow the same naming convention as ClinicalTrials.gov.

Additional variables used: we retained phase labels and measure categorical variable (derived by us from the estimand label).

Model of z-values

BEAR fits a single model to ClinicalTrials.gov and EU CTR because the two clinical-trials registries have similar reporting structures and z-value derivations. The plot therefore shows the combined clinical-trials fit. The companion dataset page is clinicaltrials.gov snapshot.

Characteristic Estimate
Probability of significance 33%
Relative probability of publication for |z| < 1.96 0.56
Successful replication for |z| > 1.96 73%
Correct sign for |z| > 1.96 97%
What do these terms mean?
Probability of significance
The reported value is the assurance: the proportion of significant results adjusted for publication bias.
Relative probability of publication
The relative probability of observing a result below the |z| = 1.96 threshold rather than above it. Values below one indicate lower observation probability below the conventional two-sided significance threshold.
Successful replication
The probability that an exact replication has the same sign and |z| greater than 1.96, conditional on the original result having |z| greater than 1.96.
Correct sign
The probability that the observed effect has the same direction as the true effect, conditional on an original result with |z| greater than 1.96.

clinicaltrials.gov + EU CTR: clinical trials mixture model plot

References

European Medicines Agency. 2025. EU Clinical Trials Register. https://www.clinicaltrialsregister.eu/.
Herold, R. 2025. “Aggregating and Analysing Clinical Trials Data from Multiple Public Registers Using r Package Ctrdata.” Research Synthesis Methods, 1–33. https://doi.org/10.1017/rsm.2025.10061.