WBR0793

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Author [[PageAuthor::Serge Korjian M.D. (Reviewed by Serge Korjian)]]
Exam Type USMLE Step 1
Main Category Biostatistics/Epidemiology
Sub Category Reproductive
Prompt [[Prompt::A new urine pregnancy test is being evaluated before marketing. A trial is conducted to compare the results of this new test to a combination of imaging and blood human chorionic gonadotropin (HCG) levels to validate the pregnancy. A table comparing the results of the study is shown below. What is the probability that a woman is truly pregnant if her urine pregnancy test is positive?


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Answer A 85.71%
Answer A Explanation This refers to the sensitivity.
Answer B 75%
Answer B Explanation This refers to the positive predictive value.
Answer C 89.28%
Answer C Explanation This refers to the NPV.
Answer D 80.64%
Answer D Explanation This refers to the specificity.
Answer E 62%
Answer E Explanation This does not refer to any particular value.
Right Answer B
Explanation [[Explanation::The positive predictive value is the probability that a person really has a condition if their test result is positive. The calculation is shown below.


Educational Objective: The positive predictive value (PPV) is the probability that a person really has a condition if their test result is positive. PPV = [True positive/(True positive+False positive)]
References: Chow S, Liu J. Design and Analysis of Clinical Trials, Concepts and Methodologies. John Wiley & Sons; 2013.]]

Approved Yes
Keyword Positive predictive value
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