Evidence map›Paper›PMID 42049315›Full record

Observational studyBMJ open2026

Accounting for cross-registration in monitoring transparency in clinical trials: a cross-sectional study of trials at German university medical centres.

Luciano Fernandez, Elisa Bascunan Atria, Samruddhi Suresh Yerunkar, Maia Salholz-Hillel, Vladislav Nachev, Susanne Gabriele Schorr, Daniel Strech, Delwen L Franzen

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Luciano Fernandez *QUEST Center for Responsible Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-0016-9247
Elisa Bascunan Atria *QUEST Center for Responsible Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0009-0003-0473-8504
Samruddhi Suresh YerunkarQUEST Center for Responsible Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-0748-383X
Maia Salholz-HillelQUEST Center for Responsible Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-1934-9504
Vladislav NachevQUEST Center for Responsible Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-0521-6153
Susanne Gabriele SchorrQUEST Center for Responsible Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-2897-3608
Daniel StrechQUEST Center for Responsible Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-9153-079X
Delwen L FranzenQUEST Center for Responsible Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany delwen.franzen@bih-charite.de.ORCID http://orcid.org/0000-0001-9974-9115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify cross-registrations (ie, registrations of the same trial in different registries) among clinical trials affiliated with German University Medical Centres (UMCs) and to describe how these cross-registrations are linked. To determine the consistency of key information across registrations of the same trial.

designObservational cross-sectional study.

settingRegistry-based study of clinical trials affiliated with German UMCs.

participants2895 interventional trials affiliated with German UMCs, registered on ClinicalTrials.gov or the German Clinical Trials Register (DRKS) and completed between 2009 and 2017.

main outcome measuresNumber of potential cross-registrations involving the EU Clinical Trials Register (EUCTR) and the type of linkage between these cross-registrations. In a manually validated subset, consistency across registry entries of the same trial was assessed for prospective registration, recruitment status, completion date and availability of summary results.

resultsWe identified 625 potential EUCTR cross-registrations. The majority of potential cross-registrations (n=470; 75%) were linked through a trial registration number (TRN) in at least one of the registries. Only 109 (17%) were linked through a TRN in both registries. Title matching and TRNs in trial results publications led to an additional 155 (25%) potential cross-registrations. In a sample of 228 manually confirmed EUCTR cross-registrations, 85% (95% CI 80% to 89%; n=189) had the same overall recruitment status while 50% (95% CI 43% to 57%; n=92) had the same completion date across registrations of the same trial. EUCTR was the dominant route for summary results availability and included structured tabular results as well as other formats.

conclusionsAmong trials affiliated with German UMCs, cross-registrations are common, yet often inadequately linked and present discrepant information. In Germany, where registration in multiple registries is common, cross-registrations can meaningfully influence assessments of trial registration and results reporting and therefore warrant explicit consideration in transparency monitoring.

Indexed as

Academic Medical CentersClinical Trials as TopicRegistriesCross-Sectional StudiesGermanyHumansClinical TrialMEDICAL ETHICSREGISTRIES

Identifiers

PMID42049315
PMCPMC13141223

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.