ROC Anatomy-Getting the Most Out of Your Diagnostic Test. Academic Article uri icon

Overview

abstract

  • Clinical decision-making relies heavily on making a correct diagnosis. Clinicians have a responsibility to understand the full spectrum of the diagnostic information conveyed by a physical exam finding, laboratory test result, or imaging. Many laboratory tests, such as troponin and B-type natriuretic peptide (BNP), are continuous tests with many possible results. Yet, there is a tendency to dichotomize tests into positive and negative, and use sensitivity and specificity to describe the test characteristics. This approach can lead to waste of important diagnostic information and substandard clinical decision-making. The aim of this paper is to demonstrate the role of ROC curves in developing a more comprehensive understanding of diagnostic information portrayed by continuous tests to augment clinical decision-making.

publication date

  • July 3, 2019

Research

keywords

  • Clinical Decision-Making
  • Likelihood Functions
  • ROC Curve

Identity

PubMed Central ID

  • PMC6712123

Scopus Document Identifier

  • 85068817581

Digital Object Identifier (DOI)

  • 10.1007/s11606-019-05125-0

PubMed ID

  • 31270785

Additional Document Info

volume

  • 34

issue

  • 9