Evidence map›Paper›PMID 22899966›Full record

ArticleInternational journal of functional informatics and personalised medicine2010

LOINC® - A Universal Catalog of Individual Clinical Observations and Uniform Representation of Enumerated Collections.

Daniel J Vreeman, Clement J McDonald, Stanley M Huff

Abstract read
In one paragraph

Article in International journal of functional informatics and personalised medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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  11. Review
  12. Article
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  15. Article
  16. Automatic population of eMeasurements from EHR systems for inpatient falls.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  17. BRIDG: a domain information model for translational and clinical protocol-driven research.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  18. Article
  19. Possibilities and Implications of Using the ICF and Other Vocabulary Standards in Electronic Health Records.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2015
    Review
  20. Supporting interoperability of genetic data with LOINC.Journal of the American Medical Informatics Association : JAMIA · 2015
    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.

Daniel J VreemanAssistant Research Professor and Research Scientist, Indiana University School of Medicine and Regenstrief Institute, 410 W. 10 Street, Suite 2000, Indianapolis, IN 46202.
Clement J McDonald
Stanley M Huff

Funding

Intramural NIH HHS Z99 CL999999Intramural NIH HHS Z99 HL999999Intramural NIH HHS Z99 LM999999Intramural NIH HHS Z99 MH999999
6 · The paper itself

Abstract

In many areas of practice and research, clinical observations are recorded on data collection forms by asking and answering questions, yet without being represented in accepted terminology standards these results cannot be easily shared among clinical care and research systems. LOINC contains a well-developed model for representing variables, answer lists, and the collections that contain them. We have successfully added many assessments and other collections of variables to LOINC in this model. By creating a uniform representation and distributing it worldwide at no cost, LOINC aims to lower the barriers to interoperability among systems and make this valuable data available across settings when and where it is needed.

Identifiers

PMID22899966
PMCPMC3418707

What OpenQuestion holds

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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.