ArticleJournal of biomedical semantics2015
Evaluating drug-drug interaction information in NDF-RT and DrugBank.
Article in Journal of biomedical semantics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Using electronic health records for clinical pharmacology research: Challenges and considerations.Clinical and translational science · 2024Review
- Precision omics data integration and analysis with interoperable ontologies and their application for COVID-19 research.Briefings in functional genomics · 2021Article
- Ontological modeling and analysis of experimentally or clinically verified drugs against coronavirus infection.Scientific data · 2021Article
- Evaluation of drug information resources for interactions between therapeutic drugs and drugs of abuse.Journal of the Medical Library Association : JMLA · 2020Article
- A 2018 workshop: vaccine and drug ontology studies (VDOS 2018).BMC bioinformatics · 2019Article
- Structured override reasons for drug-drug interaction alerts in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions.BMC bioinformatics · 2019Article
- Reduced Effectiveness of Interruptive Drug-Drug Interaction Alerts after Conversion to a Commercial Electronic Health Record.Journal of general internal medicine · 2018Article
- Comparison of three commercial knowledge bases for detection of drug-drug interactions in clinical decision support.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Drug-drug interaction discovery and demystification using Semantic Web technologies.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Use of Graph Database for the Integration of Heterogeneous Biological Data.Genomics & informatics · 2017Article
- An evaluation of the completeness of drug-drug interaction-related information in package inserts.European journal of clinical pharmacology · 2017Article
- Vaccine and Drug Ontology Studies (VDOS 2014).Journal of biomedical semantics · 2016Article
- Toward a complete dataset of drug-drug interaction information from publicly available sources.Journal of biomedical informatics · 2015Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThere is limited consensus among drug information sources on what constitutes drug-drug interactions (DDIs). We investigate DDI information in two publicly available sources, NDF-RT and DrugBank.
methodsWe acquire drug-drug interactions from NDF-RT and DrugBank, and normalize the drugs to RxNorm. We compare interactions between NDF-RT and DrugBank and evaluate both sources against a reference list of 360 critical interactions. We compare the interactions detected with NDF-RT and DrugBank on a large prescription dataset. Finally, we contrast NDF-RT and DrugBank against a commercial source.
resultsDrugBank drug-drug interaction information has limited overlap with NDF-RT (24-30%). The coverage of the reference set by both sources is about 60%. Applied to a prescription dataset of 35.5M pairs of co-prescribed systemic clinical drugs, NDF-RT would have identified 808,285 interactions, while DrugBank would have identified 1,170,693. Of these, 382,833 are common. The commercial source Multum provides a more systematic coverage (91%) of the reference list.
conclusionsThis investigation confirms the limited overlap of DDI information between NDF-RT and DrugBank. Additional research is required to determine which source is better, if any. Usage of any of these sources in clinical decision systems should disclose these limitations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.