Diagnostic studies - what the clinician needs to know regarding methodology and statistical analysis of assessments of a diagnostic test's performance
Clinicians routinely face the challenge of diagnosing a medical condition, or assessing the severity and prognosis of disease based upon the diagnostic information at their disposal. Using such information to determine a diagnosis (e.g. imagining technology to diagnose glaucoma), is called a diagnos...
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| Format: | Journal article |
| Language: | English |
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Bentham Science Publishers Ltd.
2012
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| Summary: | Clinicians routinely face the challenge of diagnosing a medical condition, or assessing the severity and prognosis of disease based upon the diagnostic information at their disposal. Using such information to determine a diagnosis (e.g. imagining technology to diagnose glaucoma), is called a diagnostic test. Most diagnostic tests fall comfortably short of perfection in their diagnosis. When assessing a diagnostic test there are two related aspects to be concerned about - how well the test deals with diseased and non-diseased cases. Research is needed to assess the diagnostic performance and more generally the role a diagnostic test should play in clinical care: if, when and how it should be used. In this chapter, measures of diagnostic performance will be described using an example study. The challenges in conducting a robust and clinically relevant diagnostic study will be considered. © 2012 Bentham Science Publishers. All rights reserved. |
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