Evaluating MedDRA-to-ICD terminology mappings
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View abstract on PubMed
Summary
This summary is machine-generated.Data harmonization is crucial for research. Analysis of Medical Dictionary for Regulatory Activities (MedDRA) and International Classification of Diseases (ICD) mapping reveals only 27.23% coverage, with many inexact matches, indicating potential for improved data integration.
Area Of Science
- Medical Informatics
- Biomedical Data Science
- Health Data Standardization
Background
- Data harmonization is essential for reproducible and collaborative research in the big data era.
- Terminology mapping, specifically between Medical Dictionary for Regulatory Activities (MedDRA) and International Classification of Diseases (ICD), is critical for drug safety and pharmacovigilance.
- Current mapping efforts require quantitative and qualitative analysis to ensure data consistency.
Purpose Of The Study
- To quantitatively and qualitatively analyze the current mapping status between MedDRA and ICD.
- To evaluate the quality of existing MedDRA-ICD mappings within the Unified Medical Language System (UMLS) and Observational Medical Outcomes Partnership Common Data Model (OMOP CDM).
- To identify potential candidates for additional mapping coverage of unmapped terms using a self-developed algorithm.
Main Methods
- Analysis of existing MedDRA-ICD mapped pairs within UMLS and OMOP CDM.
- Systematic quality assessment of mapped pairs to determine the degree of match (e.g., exact match).
- Application of a proprietary algorithm to a sample of unmapped MedDRA Preferred Terms (PT) to identify potential ICD mapping candidates.
Main Results
- The current MedDRA-ICD mapping covers 27.23% of MedDRA Preferred Terms (PT).
- Among the mapped pairs evaluated, only 51.44% were identified as exact matches, highlighting quality issues.
- Analysis of 2400 unmapped MedDRA PTs revealed 56 potential exact match candidates in ICD.
Conclusions
- Existing MedDRA-ICD mappings often lack exactness due to differences in data granularity and focus.
- A significant portion (72%) of unmapped MedDRA PTs show potential for additional exact matches, suggesting opportunities for mapping expansion.
- The findings support the expansion of MedDRA to ICD mapping within UMLS based on established mapping standards.
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