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Updated: Apr 27, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Enhancing the scope of the Trials to Publications tool by identifying ClinicalTrial.gov registry mentions in
Arthur W Holt1, Neil R Smalheiser2
1Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Abstract:
We have previously described a free, public web-based tool, Trials to Publications, https://arrowsmith.psych.uic.edu/cgi-bin/arrowsmith_uic/TrialPubLinking/trial_pub_link_start.cgi , which employs a machine-learning model based on title, abstract, and other metadata features to predict which publications are likely to present clinical outcome results from a given registered trial in ClinicalTrials.gov. We have now updated and expanded the scope of the tool, by extracting mentions of ClinicalTrials.gov registry numbers (NCT numbers) from the full-text of 3 online biomedical article collections (open access PubMed Central (PMC), EuroPMC, and OpenAlex), as well as retrieving biomedical publications that are mentioned within the ClinicalTrials.gov registry itself. These mentions greatly increase the number of linked publications identified by the tool and should assist those carrying out evidence syntheses as well as those studying the metascience of clinical trials.
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