Evidence map›Paper›PMID 35362331›Full record

ArticleClinical trials (London, England)2022

Results publications are inadequately linked to trial registrations: An automated pipeline and evaluation of German university medical centers.

Maia Salholz-Hillel, Daniel Strech, Benjamin Gregory Carlisle

Open access · hybridAbstract read
In one paragraph

Article in Clinical trials (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Observational
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  9. [Transparency in clinical research: What contribution does the new EU Regulation 536/2014 make?]Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2023
    Review
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

3 authors at 1 institution in 1 country.

Maia Salholz-HillelQUEST Center for Responsible Research, Berlin Institute of Health (BIH), Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-1934-9504
Daniel StrechQUEST Center for Responsible Research, Berlin Institute of Health (BIH), Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-9153-079X
Benjamin Gregory CarlisleQUEST Center for Responsible Research, Berlin Institute of Health (BIH), Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0001-8975-0649
Berlin Institute of Health at Charité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsInformed clinical guidance and health policy relies on clinicians, policymakers, and guideline developers finding comprehensive clinical evidence and linking registrations and publications of the same clinical trial. To support the finding and linking of trial evidence, the World Health Organization, the International Committee of Medical Journal Editors, and the Consolidated Standards of Reporting Trials ask researchers to provide the trial registration number in their publication and a reference to the publication in the registration. This practice costs researchers minimal effort and makes evidence synthesis more thorough and efficient. Nevertheless, trial evidence appears inadequately linked, and the extent of trial links in Germany remains unquantified. This cross-sectional study aims to evaluate links between registrations and publications across clinical trials conducted by German university medical centers and registered in ClinicalTrials.gov or the German Clinical Trials Registry. Secondary aims are to develop an automated pipeline that can be applied to other cohorts of trial registrations and publications, and to provide stakeholders, from trialists to registries, with guidance to improve trial links.

methodsWe used automated strategies to download and extract data from trial registries, PubMed, and results publications for a cohort of registered, published trials conducted across German university medical centers and completed between 2009 and 2017. We implemented regular expressions to detect and classify publication identifiers in registrations, and trial registration numbers in publication metadata, abstracts, and full-texts.

resultsIn breach of long-standing guidelines, 75% (1,418) of trials failed to reference trial registration numbers in both the abstract and full-text of the journal article in which the results were published. Furthermore, 50% (946) of trial registrations did not contain links to their results publications. Seventeen percent (327) of trials had no links, so that associating registration and publication required manual searching and screening. Overall, trials in ClinicalTrials.gov were better linked than those in the German Clinical Trials Registry; PubMed and registry infrastructures appear to drive this difference. Trial registration numbers were more likely to be transferred to PubMed metadata from abstracts for ClinicalTrials.gov trials than for German Clinical Trials Registry trials. Most (78%, 662/849) ClinicalTrials.gov registrations with a publication link were automatically indexed from PubMed metadata, which is not possible in the German Clinical Trials Registry.

conclusionsGerman university medical centers have not comprehensively linked trial registrations and publications, despite established recommendations. This shortcoming threatens the quality of evidence synthesis and medical practice, and burdens researchers with manually searching and linking trial data. Researchers could easily improve this by copy-and-pasting references between their trial registrations and publications. Other stakeholders could build on this practice, for example, PubMed could capture additional trial registration numbers using automated strategies (like those developed in this study), and the German Clinical Trials Registry could automatically index publications from PubMed.

Indexed as

Clinical Trials as TopicRegistriesAcademic Medical CentersCross-Sectional StudiesGermanyHumansResearch PersonnelClinical trialsmeta-researchregistrationreportingresearch transparency

Identifiers

PMID35362331
PMCPMC9203676
OpenAlexW4226134158

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.