Evidence map›Paper›PMID 21515544›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Normalized names for clinical drugs: RxNorm at 6 years.

Stuart J Nelson, Kelly Zeng, John Kilbourne, Tammy Powell, Robin Moore

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 258 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
258citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

258 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  3. Characterizing treatment pathways at scale using the OHDSI network.Proceedings of the National Academy of Sciences of the United States of America · 2016
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198 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Stuart J NelsonU.S. National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20892, USA. nelson@nlm.nih.gov
Kelly Zeng
John Kilbourne
Tammy Powell
Robin Moore

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn the 6 years since the National Library of Medicine began monthly releases of RxNorm, RxNorm has become a central resource for communicating about clinical drugs and supporting interoperation between drug vocabularies. MATERIALS AND

methodsBuilt on the idea of a normalized name for a medication at a given level of abstraction, RxNorm provides a set of names and relationships based on 11 different external source vocabularies. The standard model enables decision support to take place for a variety of uses at the appropriate level of abstraction. With the incorporation of National Drug File Reference Terminology (NDF-RT) from the Veterans Administration, even more sophisticated decision support has become possible. DISCUSSION: While related products such as RxTerms, RxNav, MyMedicationList, and MyRxPad have been recognized as helpful for various uses, tasks such as identifying exactly what is and is not on the market remain a challenge.

Indexed as

Drug Information ServicesPharmaceutical PreparationsVocabulary, ControlledDecision Support Systems, ClinicalHumansInformation Storage and RetrievalNational Library of Medicine (U.S.)Terminology as TopicUnited StatesUser-Computer InterfacePharmaceutical Preparations

Identifiers

PMID21515544
PMCPMC3128404

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.