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Quiz 1: Sensitivity/Specificity - Interpretation
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Earned Point(s): 0 of 0, (0) A 10-year-old girl is admitted to the emergency department with a history of recurrent respiratory infections. She is enrolled in a study to evaluate the diagnostic accuracy of a new biomarker, CRP-7, for predicting bacterial pneumonia. A blood sample shows a CRP-7 level of 8 mg/L. Previous research demonstrated that a CRP-7 level ≥8 mg/L has a sensitivity of 85% and a specificity of 70% for bacterial pneumonia. Considering how this patient’s CRP-7 value might influence treatment decisions, which of the following conclusions about the study results is most likely correct? A 6-year-old boy presents with joint pain and swelling. He is participating in a study that evaluates the utility of the new biomarker TNF-α3 in diagnosing juvenile idiopathic arthritis (JIA). The study reports that a TNF-α3 level ≥15 pg/mL has a sensitivity of 40% and a specificity of 92% for diagnosing JIA. A blood test shows his TNF-α3 level to be 16 pg/mL. Considering how this patient’s TNF-α3 value might influence treatment decisions, which of the following conclusions about the study results is most likely correct? A 12-year-old girl with a history of headaches is evaluated for a new marker, Neurop-4, which is being studied to predict the presence of brain tumors. A previously conducted study reported that Neurop-4 levels ≥7 ng/mL have a sensitivity of 95% and a specificity of 60% for detecting brain tumors. Her blood test reveals a Neurop-4 level of 6 ng/mL. Considering how this patient’s Neurop-4 value might influence treatment decisions, which of the following conclusions about the study results is correct?
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Quiz 2: Predictive Values – Role of Prevalence
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Earned Point(s): 0 of 0, (0) A new serum marker, Brain-Derived Protein X (BDP-X), is tested for its ability to diagnose early-stage Parkinson’s disease in two populations, Population A and Population B. The positive predictive value (PPV) of BDP-X is found to be 75% in Population A and 50% in Population B. Which of the following is the most likely explanation for these findings? A novel blood test for detecting early renal failure is assessed in two different clinical settings: a community clinic (Population A) and a tertiary care center (Population B). The test’s sensitivity is 75% in Population A and 85% in Population B. Which of the following is the most likely explanation for these findings? A blood test for detecting viral hepatitis C is tested in two populations: Population A, consisting of high-risk individuals, and Population B, consisting of the general population. The test’s specificity is 99% in Population A and 90% in Population B. Which of the following is the most likely explanation for these findings?
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Quiz 3: Predictive Values - Interpretation
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Earned Point(s): 0 of 0, (0) A biotech company has developed a new diagnostic test for early detection of pancreatic cancer that claims to provide results within 30 minutes. Using a colorimetric assay, the test measures a specific enzyme level in blood samples. The initial study of the test shows that 92% of individuals who tested positive truly had pancreatic cancer, and 88% of individuals who tested negative truly did not have pancreatic cancer. Based on these preliminary data, which of the following is the most accurate interpretation of the results? Researchers have introduced a new genetic screening tool to detect hereditary breast cancer. The test uses a saliva sample to identify specific mutations associated with a high risk of developing breast cancer. Early results indicate that 85% of individuals with a positive test had one of the known mutations. In comparison, 90% of those with a negative test result had no associated mutations. Based on these preliminary data, which of the following is the most accurate interpretation of the results? A new rapid test for detecting tuberculosis (TB) has been developed and is under evaluation. The test involves a skin patch that releases a small amount of antigen and measures the skin’s reaction. Preliminary trials show that 98% of those with a positive test result indeed have TB, and 85% of those with a negative test result are free from the disease. Based on these preliminary data, which of the following is the most accurate interpretation of the results?
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Quiz 4: Sensitivity/Specificity – Changing the Cutoff
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Earned Point(s): 0 of 0, (0) For patients with suspected hypertension, a new home blood pressure monitoring device recommends a cutoff of 135/85 mmHg for diagnosing hypertension. Changing the test cutoff from 135/85 mmHg to 140/90 mmHg would affect the performance of the test in which of the following ways? A new glucose tolerance test for diabetes suggests a cutoff of 140 mg/dL for diagnosing prediabetes. If the cutoff is changed from 140 mg/dL to 160 mg/dL, how would this most likely change the test’s performance? A cholesterol test for assessing cardiovascular risk recommends a cutoff of 200 mg/dL for determining high risk. Changing the cutoff from 200 mg/dL to 250 mg/dL would affect the performance of the test in which of the following ways?
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Quiz 5: Negative Predictive Value - 2x2 Setup and Calculation
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Earned Point(s): 0 of 0, (0) A community clinic implements a new screening tool for pre-diabetes in adults aged 30-50 years. The tool was reported to be 85% sensitive and 80% specific on a sample of 500 patients, of whom 20% were known to have pre-diabetes. Which of the following is the approximate probability that a patient in this sample with a negative test result does not have the condition? A medical research team introduces a new bone density screening tool for detecting osteoporosis in postmenopausal women. The tool was reported to be 90% sensitive and 75% specific on a sample of 600 women, of whom 30% were known to have osteoporosis. Which of the following is the approximate probability that a woman in this sample with a negative test result does not have the condition? A new non-invasive test is introduced to screen for coronary artery disease (CAD) in smokers aged 45-65 years. The test was reported to be 82% sensitive and 77% specific on a sample of 700 smokers, of whom 35% were known to have CAD. Which of the following is the approximate probability that a smoker in this sample with a negative test result does not have the condition?
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