Evidence map›Paper›PMID 25717400›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2014

Categorizing the Relationships between Structurally Congruent Concepts from Pairs of Terminologies for Semantic Harmonization.

Zhe He, James Geller, Gai Elhanan

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Leveraging non-lattice subgraphs for suggestion of new concepts for SNOMED CT.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2021
    Article
  4. Article
  5. Article
  6. A review of auditing techniques for the Unified Medical Language System.Journal of the American Medical Informatics Association : JAMIA · 2020
    Review
  7. Extended Analysis of Topological-Pattern-Based Ontology Enrichment.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2018
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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.

Zhe HeNew Jersey Institute of Technology, Newark, NJ.
James GellerNew Jersey Institute of Technology, Newark, NJ.
Gai ElhananHalfpenny Technologies, Blue Bell, PA.

Funding

A family-based framework of quality assurance for biomedical ontologiesR01CA190779 · NCI · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI PERL, YEHOSHUA · 2015 to 2017
$1.8M
NCI NIH HHS R01 CA190779
6 · The paper itself

Abstract

In this paper, we are using "structurally congruent concepts" in pairs of terminologies to suggest methods for harmonizing the terminologies. Two concepts are structurally congruent if they are children of the same more general concept and parents of the same more specific concept in two different terminologies. We show that structurally congruent concepts can be interpreted in six useful ways, e.g., as new synonyms. All structurally congruent concepts were found for six terminologies from the UMLS, each paired with SNOMED CT. In total, 1384 concept pairs were discovered. Concepts from a sample of 241 pairs were analyzed by a human expert. It was found that 59.3% indicated alternative classifications of the same general concept. This discovery allows an ontology designer to make existing, implicit knowledge explicit. Another 14.5% were newly discovered synonyms, 23.6% suggested the import of a concept into a terminology and 2.5% indicated errors in a terminology.

Identifiers

PMID25717400
PMCPMC4333698

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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.