Evidence map›Paper›PMID 21893863›Full record

ArticleStudies in health technology and informatics2011

SNOMED CT's RF2: Is the future bright?

Werner Ceusters

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Taxonomy-Based Approaches to Quality Assurance of Ontologies.Journal of healthcare engineering · 2017
    Article
  5. Article
  6. Tracking the Remodeling of SNOMED CT's Bacterial Infectious Diseases.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016
    Article
  7. Analyzing SNOMED CT's Historical Data: Pitfalls and Possibilities.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016
    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

1 author.

Werner CeustersNew York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY 14204, USA. ceusters@buffalo.edu

Funding

An ontology for pain and related disability, mental health and quality of life.R01DE021917 · NIDCR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI CEUSTERS, WERNER M · 2011 to 2012
$794k
Realism-based versioning for biomedical ontologiesR21LM009824 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI CEUSTERS, WERNER M · 2009 to 2009
$285k
NIDCR NIH HHS R01 DE021917NLM NIH HHS R21LM009824
6 · The paper itself

Abstract

SNOMED CT's new RF2 format is said to come with features for better configuration management of the SNOMED vocabulary, thereby accommodating evolving requirements without the need for further fundamental change in the foreseeable future. Although the available documentation is not yet convincing enough to support this claim, the newly introduced Model Component hierarchy and associated reference set mechanism seem to hold real promise of being able to deal successfully with a number of ontological issues that have been discussed in the recent literature. Backed up by a study of the old and new format and of the relevant literature and documentation, three recommendations are presented that would free SNOMED CT from use-mention confusions, unclear referencing of real-world entities and uninformative reasons for change in a way that does not force SNOMED CT to take a specific philosophical or ontological position.

Indexed as

Systematized Nomenclature of MedicineHumansKnowledge BasesMedical InformaticsMedical Records Systems, ComputerizedSemanticsSoftwareSystems IntegrationVocabulary, Controlled

Identifiers

PMID21893863
PMCPMC3379709

What OpenQuestion holds

Textmetadata
LicenceTDM
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.