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Tools for Decision Making Sections
Author Bio
Introduction
Probability Theory
Case Study 1: Patient History
Bayes' Theorem
Methods for Estimating Pre-test Probability
Estimating Likelihood Ratios
Sensitivity and Specificity
Interpreting Test Results
Calculating Post-test Probabilities
Currently selected section: Post-test Probabilities in Clinical Practice
Conclusions: Case Study 1
Part II
Part III
References


Chapter 14: Tools for Decision Making: Post-test Probability in Clinical Practice
        

Problem 1.10.2

Now, look at the post-test probability after a negative test and think how you would respond in the situations that follow.

Question 1.10.2.1

Would lowering the probability of disease from 0.25 to 0.04 lead you to decide against treating the patient for CAD?

Selection AProbably yes
Selection BProbably no


Question 1.10.2.2

Would lowering the probability of disease from 0.25 to 0.04 convince you (and the patient) to stop testing for coronary artery disease and perhaps focus on other diagnostic possibilities (whose probability goes up when the probability of CAD goes down)?

Selection A Probably yes
Selection B Probably no

Question 1.10.2.3

Which test would you do in this situation?

Selection A Exercise ECG
Selection BDobutamine echo

 



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