Evidence map›Paper›PMID 18999311›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008

Issues in mapping LOINC laboratory tests to SNOMED CT.

Olivier Bodenreider

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. A review of auditing techniques for the Unified Medical Language System.Journal of the American Medical Informatics Association : JAMIA · 2020
    Review
  6. Review
  7. Article
  8. Article
  9. Quality assurance in LOINC using Description Logic.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012
    Article
  10. Benchmarking ontologies: bigger or better?PLoS computational biology · 2011
    Article
  11. Article
  12. A Knowledge Intensive Approach to Mapping Clinical Narrative to LOINC.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010
    Article
  13. Article
  14. A multi-part matching strategy for mapping LOINC with laboratory terminologies.Journal of the American Medical Informatics Association : JAMIA
    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.

Olivier BodenreiderNational Library of Medicine, Bethesda, MD, USA. olivier@nlm.nih.gov

Funding

Intramural NIH HHS Z99 LM999999
6 · The paper itself

Abstract

Comprehensive clinical terminologies such as SNOMED CT tend to overlap with specialized terminologies such as LOINC (e.g., for the domain of laboratory procedures). Terminological systems such as the UMLS are often used to bridge between terminologies. However, the integration of LOINC in the UMLS and with other terminologies remains suboptimal. We mapped concepts for laboratory tests from LOINC to pre-coordinated SNOMED CT concepts, based on shared relations to other concepts. As LOINC is finer-grained than SNOMED CT, several LOINC codes tend to map to the same SNOMED CT concept. However, a large proportion of LOINC codes could not be mapped to SNOMED CT through this approach, because of underspecified definitions in SNOMED CT and a lack of fine-grained, pre-coordinated concepts in SNOMED CT.

Indexed as

Dictionaries as TopicLogical Observation Identifiers Names and CodesNatural Language ProcessingSystematized Nomenclature of MedicineTerminology as TopicPattern Recognition, AutomatedStatistics as Topic

Identifiers

PMID18999311
PMCPMC2655945

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.