Evidence map›Paper›PMID 20595311›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Analyzing categorical information in two publicly available drug terminologies: RxNorm and NDF-RT.

Jyotishman Pathak, Christopher G Chute

Open access · bronzeAbstract 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 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Medication-indication knowledge bases: a systematic review and critical appraisal.Journal of the American Medical Informatics Association : JAMIA · 2015
    Pooled it
  2. Article
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  6. Frontiers in pharmacology · 2019
    Review
  7. Development of an algorithm to link electronic health record prescriptions with pharmacy dispense claims.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  8. Article
  9. HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V.Database : the journal of biological databases and curation · 2016
    Article
  10. Article
  11. Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With Clinician-Coded Adverse Events.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015
    Article
  12. Evaluation of RxNorm for Medication Clinical Decision Support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014
    Article
  13. Standardizing adverse drug event reporting data.Journal of biomedical semantics · 2014
    Article
  14. Article
  15. Extracting drug indication information from structured product labels using natural language processing.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  16. Article
  17. Article
  18. Clinical research informatics: a conceptual perspective.Journal of the American Medical Informatics Association : JAMIA · 2012
    Article
  19. Integrating VA's NDF-RT drug terminology with PharmGKB: preliminary results.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2012
    Article
  20. Further revamping VA's NDF-RT drug terminology for clinical research.Journal of the American Medical Informatics Association : JAMIA · 2011
    Article
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

2 authors at 2 institutions in 1 country.

Jyotishman PathakDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota 55905, USA. pathak.jyotishman@mayo.edu
Christopher G Chute
Mayo Clinic · USMayo Clinic in Arizona · US

Funding

EMR Phenotypes and Community Engaged Genomic AssociationsU01HG004599 · NHGRI · MAYO CLINIC ROCHESTER · PI CHUTE, CHRISTOPHER G · 2007 to 2010
$3.7M
NHGRI NIH HHS U01 HG004599NHGRI NIH HHS U01HG04599
6 · The paper itself

Abstract

backgroundThe RxNorm and NDF-RT (National Drug File Reference Terminology) are a suite of terminology standards for clinical drugs designated for use in the US federal government systems for electronic exchange of clinical health information. Analyzing how different drug products described in these terminologies are categorized into drug classes will help in their better organization and classification of pharmaceutical information.

methodsMappings between drug products in RxNorm and NDF-RT drug classes were extracted. Mappings were also extracted between drug products in RxNorm to five high-level NDF-RT categories: Chemical Structure; cellular or subcellular Mechanism of Action; organ-level or system-level Physiologic Effect; Therapeutic Intent; and Pharmacokinetics. Coverage for the mappings and the gaps were evaluated and analyzed algorithmically.

resultsApproximately 54% of RxNorm drug products (Semantic Clinical Drugs) were found not to have a correspondence in NDF-RT. Similarly, approximately 45% of drug products in NDF-RT are missing from RxNorm, most of which can be attributed to differences in dosage, strength, and route form. Approximately 81% of Chemical Structure classes, 42% of Mechanism of Action classes, 75% of Physiologic Effect classes, 76% of Therapeutic Intent classes, and 88% of Pharmacokinetics classes were also found not to have any RxNorm drug products classified under them. Finally, various issues regarding inconsistent mappings between drug concepts were identified in both terminologies.

conclusionThis investigation identified potential limitations of the existing classification systems and various issues in specification of correspondences between the concepts in RxNorm and NDF-RT. These proposals and methods provide the preliminary steps in addressing some of the requirements.

Indexed as

Drug Information ServicesMedical Record LinkageMedication SystemsTerminology as TopicVocabulary, ControlledDatabases, FactualHumansInformation Storage and RetrievalNational Library of Medicine (U.S.)Pharmaceutical PreparationsReference StandardsUnited StatesUnited States Department of Veterans AffairsPharmaceutical Preparations

Identifiers

PMID20595311
PMCPMC2995643
OpenAlexW2103787259

What OpenQuestion holds

Textmetadata
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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.