Evidence map›Paper›PMID 21624161›Full record

ArticleJournal of biomedical semantics2011

Scalable representations of diseases in biomedical ontologies.

Stefan Schulz, Kent Spackman, Andrew James, Cristian Cocos, Martin Boeker

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

12 citing papers in PubMed.

  1. The use of foundational ontologies in biomedical research.Journal of biomedical semantics · 2023
    Review
  2. Ontological interpretation of biomedical database content.Journal of biomedical semantics · 2017
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Competing interpretations of disorder codes in SNOMED CT and ICD.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012
    Article
  10. Metonymies in medical terminologies. A SNOMED CT case study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012
    Article
  11. Article
  12. 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

5 authors.

Stefan SchulzInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria. stefan.schulz@medunigraz.at.
Kent Spackman
Andrew James
Cristian Cocos
Martin Boeker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe realm of pathological entities can be subdivided into pathological dispositions, pathological processes, and pathological structures. The latter are the bearer of dispositions, which can then be realized by their manifestations - pathologic processes. Despite its ontological soundness, implementing this model via purpose-oriented domain ontologies will likely require considerable effort, both in ontology construction and maintenance, which constitutes a considerable problem for SNOMED CT, presently the largest biomedical ontology.

resultsWe describe an ontology design pattern which allows ontologists to make assertions that blur the distinctions between dispositions, processes, and structures until necessary. Based on the domain upper-level ontology BioTop, it permits ascriptions of location and participation in the definition of pathological phenomena even without an ontological commitment to a distinction between these three categories. An analysis of SNOMED CT revealed that numerous classes in the findings/disease hierarchy are ambiguous with respect to process vs. disposition. Here our proposed approach can easily be applied to create unambiguous classes. No ambiguities could be defined regarding the distinction of structure and non-structure classes, but here we have found problematic duplications.

conclusionsWe defend a judicious use of disjunctive, and therefore ambiguous, classes in biomedical ontologies during the process of ontology construction and in the practice of ontology application. The use of these classes is permitted to span across several top-level categories, provided it contributes to ontology simplification and supports the intended reasoning scenarios.

Identifiers

PMID21624161
PMCPMC3102895

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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.