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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

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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