ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010
Use of standard drug vocabularies in clinical research: a case study in pediatrics.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Trial
- Using electronic health records for clinical pharmacology research: Challenges and considerations.Clinical and translational science · 2024Review
- Using RxNorm and NDF-RT to classify medication data extracted from electronic health records: experiences from the Rochester Epidemiology Project.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011Article
- Evaluating standard terminologies for encoding allergy information.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Clinical and epidemiological researchers across all medical specialties need tools and knowledge representations to support the classification, aggregation, and analysis of medication data. The Veterans Affairs National Drug File Reference Terminology (NDF-RT) is a named standard for classifying medications. We describe our experience applying NDF-RT to aggregate RxNorm-encoded medications that were collected from an international cohort of over 8,000 children. We detail the researchers' analysis objectives and subsequent requirements for a drug classification representation, and assess the ability of NDF-RT to provide classes that are meaningful to pediatric researchers. In addition, we explore the completeness of RxNorm - NDF-RT mappings (i.e., the coverage of NDF-RT) for this sample of pediatric medications. We conclude that NDF-RT is sufficient to address the knowledge representation needs for this research study, though only a small subset of NDF-RT is needed for research analyses. Researchers from all domains would benefit from tools for easily extracting a set of relevant classes from the NDF-RT knowledge structure.
Indexed as
Identifiers
21347050PMC3041282What 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.