WBR0791: Difference between revisions
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{{WBRQuestion | {{WBRQuestion | ||
|QuestionAuthor={{ | |QuestionAuthor={{SSK}} | ||
|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=Cardiology | |SubCategory=Cardiology | ||
|MainCategory=Biostatistics/Epidemiology | |||
|MainCategory=Biostatistics/Epidemiology | |MainCategory=Biostatistics/Epidemiology | ||
|MainCategory=Biostatistics/Epidemiology | |MainCategory=Biostatistics/Epidemiology | ||
Line 20: | Line 21: | ||
|MainCategory=Biostatistics/Epidemiology | |MainCategory=Biostatistics/Epidemiology | ||
|SubCategory=Cardiology | |SubCategory=Cardiology | ||
|Prompt=A new diagnostic test is being evaluated for the diagnosis of DVT. Patients presenting to a large central hospital with symptoms suggestive of DVT are evaluated using this new test in conjunction with the gold standard for diagnosis. Knowing that the gold standard has a sensitivity and specificity approaching 100% it is used to determine the true incidence of DVT. The table below shows the result of the initial data collection. Which of the following combinations are true regarding this diagnostic test? | |Prompt=A new diagnostic test is being evaluated for the diagnosis of DVT. Patients presenting to a large central hospital with symptoms suggestive of DVT are evaluated using this new test in conjunction with the gold standard for diagnosis. Knowing that the gold standard has a sensitivity and specificity approaching 100%, it is used to determine the true incidence of DVT. The table below shows the result of the initial data collection. Which of the following combinations are true regarding this diagnostic test? | ||
[[Image:WBR0791.jpg|500px]] | [[Image:WBR0791.jpg|500px]] | ||
|Explanation=[[Image:Biostat.png|600px]] | |Explanation=Sensitivity and specificity are measures of the performance of a classification test (positive or negative). Sensitivity answers the following question: ''if a person has a disease, how often will the test be positive?''. Tests that are highly sensitive help rule out a disease when they are negative. Highly sensitive tests are usually used for screening. On the other hand, specificity answers the following question:''if a person does not have the disease how often will the test be negative?''. Tests that are highly specific help rule in a disease when they are positive. Highly specific tests are usually used to confirm a diagnosis after patients have been screened. Sensitivity and specificity can be calculated using the formulas below. | ||
[[Image:Biostat.png|600px]] | |||
|AnswerA=Sensitivity: 93.75 / Specificity: 74.46 | |AnswerA=Sensitivity: 93.75 / Specificity: 74.46 | ||
|AnswerAExp=This is the correct combination. | |AnswerAExp=This is the correct combination. | ||
|AnswerB=Sensitivity: 74.46 / Specificity: 93.75 | |AnswerB=Sensitivity: 74.46 / Specificity: 93.75 | ||
|AnswerBExp= | |AnswerBExp=These values are incorrect. | ||
|AnswerC=Sensitivity: 71.42 / Specificity: 94.59 | |AnswerC=Sensitivity: 71.42 / Specificity: 94.59 | ||
|AnswerCExp=This refers to the positive predictive value and the negative predictive value respectively. | |AnswerCExp=This refers to the positive predictive value and the negative predictive value respectively. | ||
|AnswerD=Sensitivity: 94.59 / Specificity: 71.42 | |AnswerD=Sensitivity: 94.59 / Specificity: 71.42 | ||
|AnswerDExp= | |AnswerDExp=These values are incorrect. | ||
|AnswerE=Cannot be calculated with the given data | |AnswerE=Cannot be calculated with the given data | ||
|AnswerEExp=All the values needed are available to calculate both the sensitivity and specificity. | |AnswerEExp=All the values needed are available to calculate both the sensitivity and specificity. | ||
|EducationalObjectives=[[Image:Biostat.png|600px]] | |||
|References=Chow S, Liu J. Design and Analysis of Clinical Trials, Concepts and Methodologies. John Wiley & Sons; 2013. | |||
|RightAnswer=A | |RightAnswer=A | ||
|WBRKeyword=Specificity, Sensitivity | |WBRKeyword=Specificity, Sensitivity | ||
|Approved=No | |Approved=No | ||
}} | }} |
Revision as of 15:54, 18 September 2014
Author | [[PageAuthor::Serge Korjian M.D.]] |
---|---|
Exam Type | ExamType::USMLE Step 1 |
Main Category | MainCategory::Biostatistics/Epidemiology |
Sub Category | SubCategory::Cardiology |
Prompt | [[Prompt::A new diagnostic test is being evaluated for the diagnosis of DVT. Patients presenting to a large central hospital with symptoms suggestive of DVT are evaluated using this new test in conjunction with the gold standard for diagnosis. Knowing that the gold standard has a sensitivity and specificity approaching 100%, it is used to determine the true incidence of DVT. The table below shows the result of the initial data collection. Which of the following combinations are true regarding this diagnostic test? |
Answer A | AnswerA::Sensitivity: 93.75 / Specificity: 74.46 |
Answer A Explanation | AnswerAExp::This is the correct combination. |
Answer B | AnswerB::Sensitivity: 74.46 / Specificity: 93.75 |
Answer B Explanation | AnswerBExp::These values are incorrect. |
Answer C | AnswerC::Sensitivity: 71.42 / Specificity: 94.59 |
Answer C Explanation | AnswerCExp::This refers to the positive predictive value and the negative predictive value respectively. |
Answer D | AnswerD::Sensitivity: 94.59 / Specificity: 71.42 |
Answer D Explanation | AnswerDExp::These values are incorrect. |
Answer E | AnswerE::Cannot be calculated with the given data |
Answer E Explanation | AnswerEExp::All the values needed are available to calculate both the sensitivity and specificity. |
Right Answer | RightAnswer::A |
Explanation | [[Explanation::Sensitivity and specificity are measures of the performance of a classification test (positive or negative). Sensitivity answers the following question: if a person has a disease, how often will the test be positive?. Tests that are highly sensitive help rule out a disease when they are negative. Highly sensitive tests are usually used for screening. On the other hand, specificity answers the following question:if a person does not have the disease how often will the test be negative?. Tests that are highly specific help rule in a disease when they are positive. Highly specific tests are usually used to confirm a diagnosis after patients have been screened. Sensitivity and specificity can be calculated using the formulas below.
|
Approved | Approved::No |
Keyword | WBRKeyword::Specificity, WBRKeyword::Sensitivity |
Linked Question | Linked:: |
Order in Linked Questions | LinkedOrder:: |