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CTIM
The Clinical Trial Information
Mediator
W. Kuchinke
15.9.2016, ECRIN Meeting in Paris,
France
Short introduction into the tool
Creation of a research questions
●
The creation of a suitable research question
plays a vital role in the research process
●
Researcher uses prior knowledge, data already
available, and literature searches to generates
a hypothesis as basis for future research
activities
●
More and more often information retrieval
requires cross-domain searches through
different databases covering different research
areas
A new tool: Clinical Trial Information Mediator
●
Cross-domain searches through different
databases
●
Researchers interested in clinical trials, and who
want to design new studies
●
Finding trial related information in different
biomedical databases is an essential step
●
CTIM was developed to support researcher in
their searches
– Linking clinical trials information to publications and information about biosamples /
genes.
– Bridging the gap between different databases from different research domai
Important aspects of CTIM
●
Linking between clinical trials and publications
not through an ID or a key word (code item), but
through information content that provides the
basis for the queries.
●
The knowledge base for clinical trials is based
on CT.gov database, the largest repository of
clinical trials in the world.
●
CTIM opens clinical trials information to the
biomedical researcher who doesn’t have to
search in CT.gov and PubMed separately
Desired features
●
Provides concrete benefits for the user by enabling joint
queries in different databases
●
High degree of user-friendliness by one-field search
(like Google) and an expert search option
●
The tool raises awareness of the dependency of clinical
trials registration and the publication of clinical trials
●
The tool is easier to use and the received results are
more relevant than the ones for separate searches in
different databases
●
The tool should allow permanent updating of the
knowledge base
●
The tool should be extensible so that new data bases or
repositories can be added
Availability
●
The current state of the tool, which is still under
development, can be accessed
– http://hhu2.at.xencon.de/web/guest/ctim
●
Krauth C, Kuchinke W, Eckert M, et al. Clinical
Trial Information Mediator. J Biomed Inform.
2016;63:157-168.
– doi:10.1016/j.jbi.2016.08.012
Structure of CTIM
Connection between the three databases:
CT.gov, PubMed and Biosamples
Dependencies of databases
Search conditions and connectors
Data Connectors
Clinical Trial
Metadata
Search term
Medical
Publications
Pubmed ID, NCT ID, Condition,
Intervention name, Primary outcome,
Study type, Search term
Bio samples Condition, Search term
Example results: search for CD38
(8 trials were identified)
Trial
number
Select NCT00001586
Treatment of Chronic Lymphocytic Leukemia / Small Lymphocytic Lymphoma
…
Development by
●
Christian Krauth
●
Wolfgang Kuchinke
●
Martin Eckert
●
Rene Bergmann
●
Benjamin Braasch
●
Töresin Karakoyun
●
Christian Ohmann
Part of the BioMedBridges project of the EU
Contact
Thank you!
Wolfgang Kuchinke
Heinrich-Heine University Duesseldorf
40225 Duesseldorf
wolfgang.kuchinke@uni-duesseldorf.de
wokuchinke@outlook.de
See:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460620/
CTIM Demonstrator hhu3.at.xencon.de
Project site [http://www.biomedbridges.eu/]

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Introduction to CTIM - the Clinical Trial Information Mediator

  • 1. CTIM The Clinical Trial Information Mediator W. Kuchinke 15.9.2016, ECRIN Meeting in Paris, France Short introduction into the tool
  • 2. Creation of a research questions ● The creation of a suitable research question plays a vital role in the research process ● Researcher uses prior knowledge, data already available, and literature searches to generates a hypothesis as basis for future research activities ● More and more often information retrieval requires cross-domain searches through different databases covering different research areas
  • 3. A new tool: Clinical Trial Information Mediator ● Cross-domain searches through different databases ● Researchers interested in clinical trials, and who want to design new studies ● Finding trial related information in different biomedical databases is an essential step ● CTIM was developed to support researcher in their searches – Linking clinical trials information to publications and information about biosamples / genes. – Bridging the gap between different databases from different research domai
  • 4. Important aspects of CTIM ● Linking between clinical trials and publications not through an ID or a key word (code item), but through information content that provides the basis for the queries. ● The knowledge base for clinical trials is based on CT.gov database, the largest repository of clinical trials in the world. ● CTIM opens clinical trials information to the biomedical researcher who doesn’t have to search in CT.gov and PubMed separately
  • 5. Desired features ● Provides concrete benefits for the user by enabling joint queries in different databases ● High degree of user-friendliness by one-field search (like Google) and an expert search option ● The tool raises awareness of the dependency of clinical trials registration and the publication of clinical trials ● The tool is easier to use and the received results are more relevant than the ones for separate searches in different databases ● The tool should allow permanent updating of the knowledge base ● The tool should be extensible so that new data bases or repositories can be added
  • 6. Availability ● The current state of the tool, which is still under development, can be accessed – http://hhu2.at.xencon.de/web/guest/ctim ● Krauth C, Kuchinke W, Eckert M, et al. Clinical Trial Information Mediator. J Biomed Inform. 2016;63:157-168. – doi:10.1016/j.jbi.2016.08.012
  • 7. Structure of CTIM Connection between the three databases: CT.gov, PubMed and Biosamples
  • 9. Search conditions and connectors Data Connectors Clinical Trial Metadata Search term Medical Publications Pubmed ID, NCT ID, Condition, Intervention name, Primary outcome, Study type, Search term Bio samples Condition, Search term
  • 10. Example results: search for CD38 (8 trials were identified) Trial number
  • 11. Select NCT00001586 Treatment of Chronic Lymphocytic Leukemia / Small Lymphocytic Lymphoma …
  • 12. Development by ● Christian Krauth ● Wolfgang Kuchinke ● Martin Eckert ● Rene Bergmann ● Benjamin Braasch ● Töresin Karakoyun ● Christian Ohmann Part of the BioMedBridges project of the EU
  • 13. Contact Thank you! Wolfgang Kuchinke Heinrich-Heine University Duesseldorf 40225 Duesseldorf wolfgang.kuchinke@uni-duesseldorf.de wokuchinke@outlook.de See: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460620/ CTIM Demonstrator hhu3.at.xencon.de Project site [http://www.biomedbridges.eu/]