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Article . 2015 . Peer-reviewed
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BMJ
Article . 2015
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How to read a receiver operating characteristic curve

Authors: Philip Sedgwick;

How to read a receiver operating characteristic curve

Abstract

Researchers investigated the use of vital signs as a screening test to identify brain lesions in patients with impaired consciousness. The setting was an emergency department in Japan. In total, 529 consecutive patients presenting with impaired consciousness, as assessed by a score of less than 15 on the Glasgow coma scale, were studied. Patients were followed until discharge. The vital signs of systolic and diastolic blood pressure plus pulse rate were recorded on arrival. The diagnosis of a brain lesion was determined on the basis of brain imaging and neurological examination. In total, 312 patients (59%) were diagnosed with a brain lesion.1 The performance of each vital sign as a screening test for diagnosed brain lesions was evaluated separately. The measurement scale for each vital sign was categorised using equal sized strata. Each stratum for a vital sign was taken successively as the threshold between a “negative” and “positive” screening test result; all measurements with values greater than the categorised strata were considered a “positive” result and all others were considered “negative.” If the result was positive, the patient was deemed at “high risk” of a brain lesion; otherwise the patient was deemed at “low risk” of a brain lesion. For each stratum of a vital sign the sensitivity and specificity were derived and used to plot a receiver operating characteristic curve for the vital sign (figure⇓). The area beneath the curve was 0.90 for systolic blood pressure, 0.82 for diastolic pressure, and 0.63 for pulse rate. Receiver operating characteristic curves for each of the three vital signs as screening tests for diagnosed brain lesions. For each vital sign, selected cut-off points between a positive and negative screening test result are shown Which of the following statements, if any, are true?

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Keywords

ROC Curve, Research Design, Data Interpretation, Statistical, Humans

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Average
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