Evidence map›Paper›PMID 23920673›Full record

ArticleStudies in health technology and informatics2013

Exploring pharmacoepidemiologic groupings of drugs from a clinical perspective.

Rainer Winnenburg, Olivier Bodenreider

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Problems associated with the ATC system of drug classification.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Article
  2. Observational
  3. Analyzing U.S. prescription lists with RxNorm and the ATC/DDD Index.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014
    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.

Rainer WinnenburgNational Library of Medicine, Maryland, MD, USA.
Olivier Bodenreider

Funding

Intramural NIH HHS Z99 LM999999
6 · The paper itself

Abstract

objectivesTo investigate the extent to which pharmacoepidemiologic groupings are homogeneous in terms of clinical properties.

methodsIn our analysis, we classified drug subgroups from the pharmacoepidemiologic Anatomical Therapeutic Chemical (ATC) classification system based on clinical drug properties. We established mappings from ATC fifth level drug entities to drug property annotations in the National Drug File Reference Terminology (NDF-RT), including therapeutic categories, mechanisms of action, and physiologic effects. Based on the annotations for the individual drugs we computed homogeneity scores for all ATC groups and analyzed their distribution.

conclusionsWe found ATC groups to be generally homogeneous, more so for mechanisms of action, and physiologic effects than for therapeutic intent. However, only half of all ATC drugs can be analyzed with this approach, in part because of missing properties in NDF-RT.

Indexed as

Databases, PharmaceuticalDictionaries, Pharmaceutic as TopicNatural Language ProcessingTerminology as TopicVocabulary, ControlledPharmaceutical PreparationsPharmacoepidemiologyPharmaceutical Preparations

Identifiers

PMID23920673
PMCPMC4304656

What OpenQuestion holds

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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.