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A method for probing disease relatedness using common clinical eligibility criteria
Mary Regina Boland1, Riccardo Miotto, Chunhua Weng
1Department of Biomedical Informatics, Columbia University, New York, NY, USA.
Studies in Health Technology and Informatics
|August 8, 2013
Summary
Clinical trial eligibility criteria reveal disease connections. Common Eligibility Features (CEFs) from ClinicalTrials.gov data help identify relationships between diseases like schizophrenia, epilepsy, and Crohn's disease.
Area of Science:
- Biomedical Informatics
- Clinical Research Informatics
- Computational Biology
Background:
- Clinical trial eligibility criteria contain detailed patient characteristics.
- These criteria are a valuable, yet underutilized, data source for understanding disease relationships.
- Current methods for identifying disease relatedness often overlook the nuanced information within eligibility criteria.
Purpose of the Study:
- To explore the feasibility of using disease-specific Common Eligibility Features (CEFs) to represent diseases.
- To construct disease-specific networks based on CEFs to assess disease relatedness and overlap.
- To evaluate the potential of CEFs for standardizing clinical trial eligibility criteria.
Main Methods:
- Extracted disease-specific CEFs from ClinicalTrials.gov for cancers, mental disorders, and chronic diseases.
- Developed disease-specific networks by analyzing the overlap of CEFs.
- Validated network findings against established medical knowledge.
Main Results:
- Automatically derived CEF networks revealed significant disease relationships.
- Identified connections between schizophrenia, epilepsy, and depression.
- Highlighted a link between Crohn's disease and arthritis, confirming the approach's validity.
Conclusions:
- Clinical trial eligibility criteria are a viable data source for identifying disease relatedness.
- CEF networks offer a novel method for disease profiling and understanding comorbidities.
- Standardizing CEFs can enhance clinical trial design and data reuse.
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