Evidence map›Paper›PMID 16799121›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Use of SNOMED CT to represent clinical research data: a semantic characterization of data items on case report forms in vasculitis research.

Rachel L Richesson, James E Andrews, Jeffrey P Krischer

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. A review of medical terminology standards and structured reporting.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2018
    Review
  7. Article
  8. Mining Hierarchies and Similarity Clusters from Value Set Repositories.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    Article
  9. Article
  10. Article
  11. Literature review of SNOMED CT use.Journal of the American Medical Informatics Association : JAMIA · 2014
    Review
  12. Traits and types of health data repositories.Health information science and systems · 2014
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. An evaluation of SNOMED CT in the domain of complex chronic conditions.International journal of integrated care · 2010
    Article
  20. 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.

Rachel L RichessonPediatrics Epidemiology Center, University of South Florida College of Medicine, Department of Pediatrics, Tampa, FL 33612, USA. Rachel.Richesson@epi.usf.edu
James E Andrews
Jeffrey P Krischer

Funding

RARE DISEASES DATA AND TECHNOLOGY COORDINATING CENTERU54RR019259 · NCRR · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2003 to 2008
$14.4M
VASCULITIS CLINICAL RESEARCH NETWORK (VCRN): RARE DISEASEU54RR019497 · NCRR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MERKEL, PETER A · 2003 to 2008
$6.1M
NCRR NIH HHS 1 U54 RR019497NCRR NIH HHS RR019259NCRR NIH HHS U54 RR019259NCRR NIH HHS U54 RR019497
6 · The paper itself

Abstract

objectiveTo estimate the coverage provided by SNOMED CT for clinical research concepts represented by the items on case report forms (CRFs), as well as the semantic nature of those concepts relevant to post-coordination methods.

designConvenience samples from CRFs developed by rheumatologists conducting several longitudinal, observational studies of vasculitis were selected. A total of 17 CRFs were used as the basis of analysis for this study, from which a total set of 616 (unique) items were identified. Each unique data item was classified as either a clinical finding or procedure. The items were coded by the presence and nature of SNOMED CT coverage and classified into semantic types by 2 coders. MEASUREMENTS: Basic frequency analysis was conducted to determine levels of coverage provided by SNOMED CT. Estimates of coverage by various semantic characterizations were estimated.

resultsMost of the core clinical concepts (88%) from these clinical research data items were covered by SNOMED CT; however, far fewer of the concepts were fully covered (that is, where all aspects of the CRF item could be represented completely without post-coordination; 23%). In addition, a large majority of the concepts (83%) required post-coordination, either to clarify context (e.g., time) or to better capture complex clinical concepts (e.g., disease-related findings). For just over one third of the sampled CRF data items, both types of post-coordination were necessary to fully represent the meaning of the item.

conclusionSNOMED CT appears well-suited for representing a variety of clinical concepts, yet is less suited for representing the full amount of information collected on CRFs.

Indexed as

Clinical Trials as TopicSystematized Nomenclature of MedicineClinical MedicineHumansSemanticsVasculitis

Identifiers

PMID16799121
PMCPMC1561787

What OpenQuestion holds

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Registered trials

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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.