Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Jul 26:2017:37-47.
eCollection 2017.

Clinical Trials.Gov: A Topical Analyses

Affiliations

Clinical Trials.Gov: A Topical Analyses

Vibha Anand et al. AMIA Jt Summits Transl Sci Proc. .

Abstract

ClinicalTrials.gov was established as a web-based registry for clinical trials of human participants in 2000. Mandatory registration started in 2008. Given more than a decade of registered trials, it's important to understand the "topic" areas and their evolution over time from this resource. This information may help in identifying current knowledge gaps. We use dynamic topic model (DTM) methods to discover topics and their evolution over last 17 years. Our model suggests that there are disease or organ specific trials such as 'Cardiovascular disorders', Heart & Brain conditions', or 'Breast & Prostate cancer' as well as trials registered for general health. General health trials are less likely to be FDA regulated, but both health and pain management, as well as surgical, heart, and brain trials have upward trend in recent years while advanced cancer trials have downward trended. Our model derives unique insights from metadata associated with each topic area.

PubMed Disclaimer

Figures

Figure 1:
Figure 1:
Dynamic Topic Model
Figure 2:
Figure 2:
(a) Topic Proportion (b) Documents per topic ( incomplete data for 2016)
Figure 3:
Figure 3:
Diseases or Conditions in discovered “topics” (size of words reflect the frequency in metadata “conditions” field)
Figure 4:
Figure 4:
Source of trials in discovered “topics” (size of words reflect the frequency in metadata field - source)
Figure 5:
Figure 5:
Overall status of trials in each discovered “topic”

References

    1. Zarin DA, Tse T, Williams RJ, Carr S. Trial Reporting in ClinicalTrials.gov - The Final Rule. N Engl J Med. 2016 Sep 16; - PMC - PubMed
    1. Cepeda MS, Lobanov V, Berlin JA. From ClinicalTrials.gov trial registry to an analysis-ready database of clinical trial results. Clin Trials Lond Engl. 2013 Apr;10(2):347–8. - PubMed
    1. Holman L, Head ML, Lanfear R, Jennions MD. Evidence of Experimental Bias in the Life Sciences: Why We Need Blind Data Recording. PLoS Biol [Internet] 2015 Jul 8;13(7) [cited 2016 Sep 21]. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4496034/ - PMC - PubMed
    1. Haidich AB. Meta-analysis in medical research. Hippokratia. 2010 Dec;14(Suppl 1):29–37. - PMC - PubMed
    1. Vale CL, Rydzewska LHM, Rovers MM, Emberson JR, Gueyffier F, Stewart LA. Uptake of systematic reviews and meta-analyses based on individual participant data in clinical practice guidelines: descriptive study. BMJ. 2015 Mar 6;350:h1088. - PMC - PubMed

LinkOut - more resources