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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

        

 

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Selection AProbably yes

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Raising the probability of disease from 0.25 to 0.60 would probably lead most physicians to do a second test. The pre-test probability for this test would be 0.60, the post-test probability after the dobutamine echo. Starting with a pre-test probability this high, the post-test probability after a positive result on any of several tests for coronary artery disease would exceed 0.80, enough to swing our diagnostic thinking toward coronary artery disease.



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