Evidence map›Paper›PMID 24551353›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013

Design and evaluation of a bacterial clinical infectious diseases ontology.

Claire L Gordon, Stephanie Pouch, Lindsay G Cowell, Mary Regina Boland, Heather L Platt, Albert Goldfain, Chunhua Weng

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. A fourfold pathogen reference ontology suite.Journal of biomedical semantics · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Digital microbiology.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2020
    Review
  6. Article
  7. Article
  8. 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

7 authors.

Claire L GordonDepartment of Biomedical Informatics, Columbia University, New York ; Division of Infectious Diseases, Department of Medicine, Columbia University, New York ; Department of Medicine, University of Melbourne, Melbourne, Australia.
Stephanie PouchDivision of Infectious Diseases, Department of Medicine, Columbia University, New York.
Lindsay G CowellDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas.
Mary Regina BolandDepartment of Biomedical Informatics, Columbia University, New York.
Heather L PlattDivision of Infectious Diseases, Department of Medicine, Columbia University, New York.
Albert GoldfainBlue Highway Inc., Syracuse, New York.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York.

Funding

Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Bridging the Semantic Gap Between Research Eligibility Criteria and Clinical DataR01LM009886 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WENG, CHUNHUA · 2009 to 2020
$5.3M
Developing Flexible EHR Plug-ins to Re-Engineer Clinical Care and Research WorkflowsR01LM010815 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HOMMA, SHUNICHI, WENG, CHUNHUA · 2010 to 2013
$1.9M
Immune System Biological Networks:Case Study Improved Data Integration & AnalysisR01AI077706 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI COWELL, LINDSAY G. · 2008 to 2011
$1.7M
Training in Interdisciplinary Research to Prevent Infections (TIRI)T32NR013454 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LARSON, ELAINE LUCILLE, SAIMAN, LISA · 2012 to 2017
$1.4M
NCATS NIH HHS UL1 TR000040NIAID NIH HHS R01 AI077706NINR NIH HHS T32 NR013454NINR NIH HHS T32NR013454NLM NIH HHS R01 LM009886NLM NIH HHS R01LM009886NLM NIH HHS R01 LM010815Wellcome Trust
6 · The paper itself

Abstract

With antimicrobial resistance increasing worldwide, there is a great need to use automated antimicrobial decision support systems (ADSSs) to lower antimicrobial resistance rates by promoting appropriate antimicrobial use. However, they are infrequently used mostly because of their poor interoperability with different health information technologies. Ontologies can augment portable ADSSs by providing an explicit knowledge representation for biomedical entities and their relationships, helping to standardize and integrate heterogeneous data resources. We developed a bacterial clinical infectious diseases ontology (BCIDO) using Protégé-OWL. BCIDO defines a controlled terminology for clinical infectious diseases along with domain knowledge commonly used in hospital settings for clinical infectious disease treatment decision-making. BCIDO has 599 classes and 2355 object properties. Terms were imported from or mapped to Systematized Nomenclature of Medicine, Unified Medical Language System, RxNorm and National Center for Bitechnology Information Organismal Classification where possible. Domain expert evaluation using the "laddering" technique, ontology visualization, and clinical notes and scenarios, confirmed the correctness and potential usefulness of BCIDO.

Indexed as

Biological OntologiesVocabulary, ControlledBacterial InfectionsDecision Support Systems, ClinicalHumansProgramming Languages

Identifiers

PMID24551353
PMCPMC3900194

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.