ArticleCEUR workshop proceedings2013
Towards a Consistent and Scientifically Accurate Drug Ontology.
Article in CEUR workshop proceedings, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Pertpy: an end-to-end framework for perturbation analysis.Nature methods · 2026Article
- Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective.Journal of personalized medicine · 2022Article
- DDIEM: drug database for inborn errors of metabolism.Orphanet journal of rare diseases · 2020Article
- Optimizing Antihypertensive Medication Classification in Electronic Health Record-Based Data: Classification System Development and Methodological Comparison.JMIR medical informatics · 2020Article
- A 2018 workshop: vaccine and drug ontology studies (VDOS 2018).BMC bioinformatics · 2019Article
- Enhancing the drug ontology with semantically-rich representations of National Drug Codes and RxNorm unique concept identifiers.BMC bioinformatics · 2019Article
- Development of a cardiac-centered frailty ontology.Journal of biomedical semantics · 2019Article
- Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request.Journal of biomedical semantics · 2017Article
- An accurate and precise representation of drug ingredients.Journal of biomedical semantics · 2016Article
- Combining expert knowledge and knowledge automatically acquired from electronic data sources for continued ontology evaluation and improvement.Journal of biomedical informatics · 2015Article
- Toward a complete dataset of drug-drug interaction information from publicly available sources.Journal of biomedical informatics · 2015Article
- Towards a foundational representation of potential drug-drug interaction knowledge.CEUR workshop proceedings · 2014Article
- Standardizing adverse drug event reporting data.Journal of biomedical semantics · 2014Article
- Design and evaluation of a bacterial clinical infectious diseases ontology.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Our use case for comparative effectiveness research requires an ontology of drugs that enables querying National Drug Codes (NDCs) by active ingredient, mechanism of action, physiological effect, and therapeutic class of the drug products they represent. We conducted an ontological analysis of drugs from the realist perspective, and evaluated existing drug terminology, ontology, and database artifacts from (1) the technical perspective, (2) the perspective of pharmacology and medical science (3) the perspective of description logic semantics (if they were available in Web Ontology Language or OWL), and (4) the perspective of our realism-based analysis of the domain. No existing resource was sufficient. Therefore, we built the Drug Ontology (DrOn) in OWL, which we populated with NDCs and other classes from RxNorm using only content created by the National Library of Medicine. We also built an application that uses DrOn to query for NDCs as outlined above, available at: http://ingarden.uams.edu/ingredients. The application uses an OWL-based description logic reasoner to execute end-user queries. DrOn is available at http://code.google.com/p/dr-on.
Identifiers
27867326PMC5111807What OpenQuestion holds
Registered trials
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.