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
. 2022 Mar 18;12(1):4724.
doi: 10.1038/s41598-022-08454-z.

A knowledge graph of clinical trials ([Formula: see text])

Ziqi Chen #  1 , Bo Peng #  1 , Vassilis N Ioannidis  2 , Mufei Li  3 , George Karypis  2 , Xia Ning  1
Affiliations

A knowledge graph of clinical trials ([Formula: see text])

Ziqi Chen et al. Sci Rep. .

Abstract

Effective and successful clinical trials are essential in developing new drugs and advancing new treatments. However, clinical trials are very expensive and easy to fail. The high cost and low success rate of clinical trials motivate research on inferring knowledge from existing clinical trials in innovative ways for designing future clinical trials. In this manuscript, we present our efforts on constructing the first publicly available Clinical Trials Knowledge Graph, denoted as [Formula: see text]. [Formula: see text] includes nodes representing medical entities in clinical trials (e.g., studies, drugs and conditions), and edges representing the relations among these entities (e.g., drugs used in studies). Our embedding analysis demonstrates the potential utilities of [Formula: see text] in various applications such as drug repurposing and similarity search, among others.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Schema of CTKG.
Figure 2
Figure 2
Flow chart of CTKG construction.
See this image and copyright information in PMC

References

    1. Elkin ME, Zhu X. Predictive modeling of clinical trial terminations using feature engineering and embedding learning. Sci. Rep. 2021;11:1–12. - PMC - PubMed
    1. Friedman LM, Furberg CD, DeMets DL, Reboussin DM, Granger CB. Fundamentals of Clinical Trials. Cham: Springer; 2015.
    1. Sertkaya A, Wong H-H, Jessup A, Beleche T. Key cost drivers of pharmaceutical clinical trials in the united states. Clin. Trials. 2016;13:117–126. - PubMed
    1. Wong CH, Siah KW, Lo AW. Estimation of clinical trial success rates and related parameters. Biostatistics. 2019;20:273–286. - PMC - PubMed
    1. Tasneem A, et al. The database for aggregate analysis of ClinicalTrials.gov (AACT) and subsequent regrouping by clinical specialty. PLoS ONE. 2012;7:e33677 e33677. - PMC - PubMed

Publication types

MeSH terms