Evidence map›Paper›PMID 16049227›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Generating a reliable reference standard set for syndromic case classification.

Wendy W Chapman, John N Dowling, Michael M Wagner

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 18 papers.

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0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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.

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Machine learning for psychiatric patient triaging: an investigation of cascading classifiers.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Semantic annotation of clinical events for generating a problem list.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013
    Article
  9. Article
  10. Article
  11. Article
  12. Understanding Inter-rater Disagreement: A Mixed Methods Approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010
    Article
  13. Article
  14. Biomedical informatics and translational medicine.Journal of translational medicine · 2010
    Review
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Wendy W ChapmanRODS Laboratory, Center for Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15213-2582, USA. chapman@cbmi.pitt.edu
John N Dowling
Michael M Wagner

Funding

Natural Language Processing for Respiratory SurveillanceK22LM008301 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAPMAN, WENDY W. · 2004 to 2006
$459k
NLM NIH HHS K22 LM008301NLM NIH HHS K22 LM008301-02
6 · The paper itself

Abstract

objectiveTo generate and measure the reliability for a reference standard set with representative cases from seven broad syndromic case definitions and several narrower syndromic definitions used for biosurveillance.

designFrom 527,228 eligible patients between 1990 and 2003, we generated a set of patients potentially positive for seven syndromes by classifying all eligible patients according to their ICD-9 primary discharge diagnoses. We selected a representative subset of the cases for chart review by physicians, who read emergency department reports and assigned values to 14 variables related to the seven syndromes. MEASUREMENTS: (1) Positive predictive value of the ICD-9 diagnoses; (2) prevalence of the syndromic definitions and related variables; (3) agreement between physician raters demonstrated by kappa, kappa corrected for bias and prevalence, and Finn's r; and (4) reliability of the reference standard classifications demonstrated by generalizability coefficients.

resultsPositive predictive value for ICD-9 classification ranged from 0.33 for botulinic to 0.86 for gastrointestinal. We generated between 80 and 566 positive cases for six of the seven syndromic definitions. Rash syndrome exhibited low prevalence (34 cases). Agreement between physician raters was high, with kappa > 0.70 for most variables. Ratings showed no bias. Finn's r was >0.70 for all variables. Generalizability coefficients were >0.70 for all variables but three.

conclusionOf the 27 syndromes generated by the 14 variables, 21 showed high enough prevalence, agreement, and reliability to be used as reference standard definitions against which an automated syndromic classifier could be compared. Syndromic definitions that showed poor agreement or low prevalence include febrile botulinic syndrome, febrile and nonfebrile rash syndrome, respiratory syndrome explained by a nonrespiratory or noninfectious diagnosis, and febrile and nonfebrile gastrointestinal syndrome explained by a nongastrointestinal or noninfectious diagnosis.

Indexed as

International Classification of DiseasesSyndromeBioterrorismHumansMedical InformaticsObserver VariationPredictive Value of TestsReproducibility of Results

Identifiers

PMID16049227
PMCPMC1294033

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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.