Evidence Based Medicine, what is it?
What is Critical Appraisal?
How to find papers to answer your question?
How a paper is structured
Different forms of research
Different terminology used to describe research designs
Different categories of evidence
Hierarchy of evidence
Further terminology to be aware of
Statistical methods
Being Aware of Outcomes
Diagnostic studies
Terminology to be aware of in a diagnostic paper
Likelihood ratios and area under the curve
Critical Appraisal of a Diagnostic Study
Therapeutic studies
Treatment effect
Critical Appraisal of a Therapeutic Study
Final Quiz Click here for more detail on the course structure

Understanding likelihood ratios is part of the mastery of a diagnostic work up. Likelihood ratio help explain the significance of each test we perform and the difference they make to our patients.

The area under the curve is used during the development of a diagnostic test. The more accurate the test the better it separates those with the disease and those without it and the area under the curve can be used to quantify this.

This podcast covers

Positive and negative likelihood ratios

Fagan’s nomogram

Categorical Likelihood ratios

Area under the curve

Categories of likelihood ratios; Goodacre 2009 EMJ

Once you’ve listened help consolidate the topics covered with the questions below.

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Question 1 of 6

1. Question

Positive and negative likelihood ratios will vary dependant upon the prevalence of the disease in question?

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Question 2 of 6

2. Question

Likelihood ratios can be used to calculate post test probabilities?

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Question 3 of 6

3. Question

The magnitude of a likelihood ratio can be used to determine its significance?

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Question 4 of 6

4. Question

When looking to develop a diagnostic test, the area under the curve can be used to help evaluate the utility of a test. An area under the curve of 1 means that the test will be no more useful than relying on chance.

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Question 5 of 6

5. Question

If a patient has a pretest likelihood of disease of 10%, you apply a test gaining a positive result and you know the test to have a positive likelihood ratio of 5, the post test probability will be 50%?

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Question 6 of 6

6. Question

A positive likelihood ratio is calculated by sensitivity/(1-specificity)?