WBR0791: Difference between revisions
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{{WBRQuestion | {{WBRQuestion | ||
|QuestionAuthor={{SSK}} (Reviewed by {{YD}}) | |QuestionAuthor= {{SSK}} (Reviewed by {{YD}}) | ||
|ExamType=USMLE Step 1 | |ExamType=USMLE Step 1 | ||
|MainCategory=Biostatistics/Epidemiology | |MainCategory=Biostatistics/Epidemiology |
Latest revision as of 01:43, 28 October 2020
Author | [[PageAuthor::Serge Korjian M.D. (Reviewed by Yazan Daaboul, M.D.)]] |
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Exam Type | ExamType::USMLE Step 1 |
Main Category | MainCategory::Biostatistics/Epidemiology |
Sub Category | SubCategory::Vascular |
Prompt | [[Prompt::A new diagnostic test is being evaluated for the diagnosis of deep venous thrombosis (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. Assuming that the gold standard has a sensitivity and specificity approaching 100%, it is used to determine the true incidence of DVT. The table below demonstrates the result of the initial data collection. Which of the following combinations is true regarding this diagnostic test? |
Answer A | AnswerA::Sensitivity: 93.8%% / Specificity: 74.5% |
Answer A Explanation | AnswerAExp::This is the correct combination. |
Answer B | AnswerB::Sensitivity: 74.5% / Specificity: 93.8 |
Answer B Explanation | AnswerBExp::These values are incorrect. |
Answer C | AnswerC::Sensitivity: 71.4% / Specificity: 94.6% |
Answer C Explanation | AnswerCExp::These results refer to the positive predictive value (PPV) and the negative predictive value (NPV), respectively. |
Answer D | AnswerD::Sensitivity: 94.6% / Specificity: 71.4% |
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 provided. |
Approved | Approved::Yes |
Keyword | WBRKeyword::Specificity, WBRKeyword::Sensitivity |
Linked Question | Linked:: |
Order in Linked Questions | LinkedOrder:: |