WBR0792: Difference between revisions

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{{WBRQuestion
{{WBRQuestion
|QuestionAuthor={{Rim}}
|QuestionAuthor= {{SSK}} (Reviewed by Serge Korjian)
|ExamType=USMLE Step 1
|ExamType=USMLE Step 1
|MainCategory=Biostatistics/Epidemiology
|MainCategory=Biostatistics/Epidemiology
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|MainCategory=Biostatistics/Epidemiology
|MainCategory=Biostatistics/Epidemiology
|SubCategory=Dermatology
|SubCategory=Dermatology
|MainCategory=Biostatistics/Epidemiology
|MainCategory=Biostatistics/Epidemiology
|MainCategory=Biostatistics/Epidemiology
|MainCategory=Biostatistics/Epidemiology
|MainCategory=Biostatistics/Epidemiology
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[[Image:WBR0792.jpg|500px]]
[[Image:WBR0792.jpg|500px]]
|Explanation=To test sensitivity and specificity of a certain test, results need to be compared to that of the gold standard for the detection of the studied disease or outcome. The negative predictive value is the probability that a person really doesn't have disease if a test result is negative. The calculation is shown below.
|Explanation=The prompt in this question refers to the negative predictive value of the test being studied. To test sensitivity, specificity, and negative and positive predictive values of a certain test, results need to be compared to the gold standard test for the detection of the disease or outcome in question. The negative predictive value is the probability that a person really doesn't have the disease given that his test result is negative. The calculation is shown below.




[[Image:Biostat.png|600px]]
[[Image:Biostat.png|600px]]
Educational Objective: Negative predictive value (NPV) = [True negative/(True negative + False negative)]
|AnswerA=82.75%
|AnswerA=82.75%
|AnswerAExp=This refers to the sensitivity.
|AnswerAExp=This refers to the sensitivity.
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|AnswerE=76.92%
|AnswerE=76.92%
|AnswerEExp=This does not refer to any particular value.
|AnswerEExp=This does not refer to any particular value.
|EducationalObjectives=The negative predictive value (NPV) of a test is the probability that a person really doesn't have the disease given that his test result is negative. ''NPV = [True negative/(True negative + False negative)]''
|References=Chow S, Liu J. Design and Analysis of Clinical Trials, Concepts and Methodologies. John Wiley & Sons; 2013.
|RightAnswer=C
|RightAnswer=C
|WBRKeyword=Negative, predictive, value, negative predictive value
|WBRKeyword=Negative predictive value, Positive predictive value,
|Approved=No
|Approved=Yes
}}
}}

Latest revision as of 01:43, 28 October 2020

 
Author [[PageAuthor::Serge Korjian M.D. (Reviewed by Serge Korjian)]]
Exam Type ExamType::USMLE Step 1
Main Category MainCategory::Biostatistics/Epidemiology
Sub Category SubCategory::Dermatology
Prompt [[Prompt::A company is testing a new diagnostic tool for the detection of squamous cell carcinoma of the skin and comparing the results to biopsy specimens validated by professional dermatopathologists. The results are shown below. What is the probability that a person really doesn't have squamous cell carcinoma if his test result comes back negative?


]]

Answer A AnswerA::82.75%
Answer A Explanation AnswerAExp::This refers to the sensitivity.
Answer B AnswerB::80%
Answer B Explanation AnswerBExp::This refers to the positive predictive value.
Answer C AnswerC::94.11%
Answer C Explanation AnswerCExp::This refers to the NPV.
Answer D AnswerD::93.02%
Answer D Explanation AnswerDExp::This refers to the specificity.
Answer E AnswerE::76.92%
Answer E Explanation AnswerEExp::This does not refer to any particular value.
Right Answer RightAnswer::C
Explanation [[Explanation::The prompt in this question refers to the negative predictive value of the test being studied. To test sensitivity, specificity, and negative and positive predictive values of a certain test, results need to be compared to the gold standard test for the detection of the disease or outcome in question. The negative predictive value is the probability that a person really doesn't have the disease given that his test result is negative. The calculation is shown below.



Educational Objective: The negative predictive value (NPV) of a test is the probability that a person really doesn't have the disease given that his test result is negative. NPV = [True negative/(True negative + False negative)]
References: Chow S, Liu J. Design and Analysis of Clinical Trials, Concepts and Methodologies. John Wiley & Sons; 2013.]]

Approved Approved::Yes
Keyword WBRKeyword::Negative predictive value, WBRKeyword::Positive predictive value
Linked Question Linked::
Order in Linked Questions LinkedOrder::