Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-10T18:27:28.730Z Has data issue: false hasContentIssue false
  • English
  • Français

Understanding receiver operating characteristic (ROC) curves

Published online by Cambridge University Press:  21 May 2015

Jerome Fan ,
Suneel Upadhye  and
Andrew Worster
Jerome Fan
Affiliation:
Division of Emergency Medicine, McMaster University, Hamilton, Ont.
Suneel Upadhye
Affiliation:
Division of Emergency Medicine, McMaster University, Hamilton, Ont.
Andrew Worster*
Affiliation:
Division of Emergency Medicine, McMaster University, Hamilton, Ont.
*
Emergency Department, Hamilton Health Sciences, McMaster University Medical Centre, 1200 Main St. W, Hamilton ON L8N 3Z5

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In this issue of the Journal, Auer and colleagues conclude that serum levels of neuron-specific enolase (NSE), a biochemical marker of ischemic brain injury, may have clinical utility for the prediction of survival to hospital discharge in patients experiencing the return of spontaneous circulation following at least 5 minutes of cardiopulmonary resuscitation. The authors used a receiver operating characteristic (ROC) curve to illustrate and evaluate the diagnostic (prognostic) performance of NSE. We explain ROC curve analysis in the following paragraphs.

Type
Original Research • Recherche originale
Information
Canadian Journal of Emergency Medicine , Volume 8 , Issue 1 , January 2006 , pp. 19 - 20
Copyright
Copyright © Canadian Association of Emergency Physicians 2006

References

1.Auer, J, Berent, R, Weber, T, et al. Ability of neuron-specific enolase to predict survival to hospital discharge after successful cardiopulmonary resuscitation. Can J Emerg Med 2006;8(1):13–8.CrossRefGoogle ScholarPubMed
2.Lusted, LB. Decision-making studies inpatient management. N Engl J Med 1971; 284:416–24.Google Scholar
3.Grzybowski, M, Younger, JG. Statistical methodology: III. Receiver operating characteristic (ROC) curves. Acad Emerg Med 1997;4:818–26.CrossRefGoogle ScholarPubMed
4.Worster, A, Innes, G, Abu-Laban, RB. Diagnostic testing: an emergency medicine perspective. Can J Emerg Med 2002;4(5): 348–54.CrossRefGoogle ScholarPubMed
5.Faraggi, D, Reiser, B. Estimation of the area under the ROC curve. Stat Med 2002;21:3093–106.CrossRefGoogle ScholarPubMed
6.Deeks, J. Systematic reviews of evaluations of diagnostic and screening tests. In: Egger, M, Smith, GD, Altman, DG, editors. Systematicreviews in health care: meta-analysis in context. BMJ Publishing Group; 2001.Google Scholar