WBR0793: Difference between revisions

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|MainCategory=Biostatistics/ Epidemiology
|MainCategory=Biostatistics/ Epidemiology
|SubCategory=Reproductive
|SubCategory=Reproductive
|Prompt=A new urine pregnancy test is being studied before being distributed to pharmacies. A trial is conducted to compare the results of this new test to a combination of imaging and blood HCG levels to validate the pregnancy. A table showing the results of the study is shown below. What is the probability that a woman is really pregnant if her urine pregnancy test result comes back positive?
|Prompt=A new urine pregnancy test is being studied before being distributed to pharmacies. 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 showing the results of the study is shown below. What is the probability that a woman is really pregnant if her urine pregnancy test result comes back positive?





Revision as of 01:56, 31 October 2013

 
Author [[PageAuthor::Rim Halaby, M.D. [1]]]
Exam Type ExamType::USMLE Step 1
Main Category MainCategory::Biostatistics/ Epidemiology
Sub Category SubCategory::Reproductive
Prompt [[Prompt::A new urine pregnancy test is being studied before being distributed to pharmacies. 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 showing the results of the study is shown below. What is the probability that a woman is really pregnant if her urine pregnancy test result comes back positive?


]]

Answer A AnswerA::85.71%
Answer A Explanation AnswerAExp::This refers to the sensitivity.
Answer B AnswerB::75%
Answer B Explanation AnswerBExp::This refers to the positive predictive value.
Answer C AnswerC::89.28%
Answer C Explanation AnswerCExp::This refers to the NPV.
Answer D AnswerD::80.64%
Answer D Explanation AnswerDExp::This refers to the specificity.
Answer E AnswerE::62%
Answer E Explanation AnswerEExp::This does not refer to any particular value.
Right Answer RightAnswer::B
Explanation [[Explanation::The positive predictive value is the probability that a person really has a condition if his test result is positive. The calculation is shown below.


Educational Objective: Positive predictive value (PPV) = [True positive/(True positive+False positive)]
Educational Objective:
References: ]]

Approved Approved::No
Keyword WBRKeyword::Positive predictive value
Linked Question Linked::
Order in Linked Questions LinkedOrder::