Evidence map›Paper›PMID 25866612›Full record

ArticleJournal of biomedical semantics2015

Using description logics to evaluate the consistency of drug-class membership relations in NDF-RT.

Rainer Winnenburg, Jonathan M Mortensen, Olivier Bodenreider

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Special issue on bio-ontologies and phenotypes.Journal of biomedical semantics · 2015
    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

3 authors at 1 institution in 1 country.

Rainer WinnenburgLister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD USA ; Current Affiliation: Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305-5479 USA.
Jonathan M MortensenLister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD USA ; Current Affiliation: Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305-5479 USA.
Olivier BodenreiderLister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD USA.
National Center for Biotechnology Information · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe NDF-RT (National Drug File Reference Terminology) is an ontology, which describes drugs and their properties and supports computerized physician order entry systems. NDF-RT's classes are mostly specified using only necessary conditions and lack sufficient conditions, making its use limited until recently, when asserted drug-class relations were added. The addition of these asserted drug-class relations presents an opportunity to compare them with drug-class relations that can be inferred using the properties of drugs and drug classes in NDF-RT.

methodsWe enriched NDF-RT's drug-classes with sufficient conditions, added property equivalences, and then used an OWL reasoner to infer drug-class membership relations. We compared the inferred class relations to the recently added asserted relations derived from FDA Structured Product Labels.

resultsThe inferred and asserted relations only match in about 50% of the cases, due to incompleteness of the drug descriptions and quality issues in the class definitions.

conclusionsThis investigation quantifies and categorizes the disparities between asserted and inferred drug-class relations and illustrates issues with class definitions and drug descriptions. In addition, it serves as an example of the benefits DL can add to ontology development and evaluation.

Indexed as

Description logicsNational drug file-reference terminologyOntologyQuality assurance

Identifiers

PMID25866612
PMCPMC4392727
OpenAlexW2157310614

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.