Question:
CA-125 is a marker for the screening of ovarian cancer. To characterize this test, histopathological confirmation of ovarian cancer was done in a cohort of patients. 60/100 women who tested positive for this test had ovarian cancer and 20/100 women who tested negative had ovarian cancer. What is the negative predictive value of this test?
CA-125 is a marker for the screening of ovarian cancer. To characterize this test, histopathological confirmation of ovarian cancer was done in a cohort of patients. 60/100 women who tested positive for this test had ovarian cancer and 20/100 women who tested negative had ovarian cancer. What is the negative predictive value of this test?
Updated On: Jul 15, 2025
- 20/100
- 40/100
- 60/100
- 80/100
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The Correct Option is D
Solution and Explanation
The Negative Predictive Value (NPV) of a test is the probability that subjects with a negative test result truly don't have the disease. To calculate the NPV, we use the formula:
NPV = (True Negatives) / (True Negatives + False Negatives)
From the problem statement, we have:
- 20 patients who tested negative had ovarian cancer (False Negatives, FN = 20).
- Assuming 100 total tested negatives, then True Negatives (TN) = 100 - 20 = 80.
Applying the values to the NPV formula:
NPV = 80 / (80 + 20) = 80 / 100 = 0.8
This calculates the NPV to be 80 out of 100, or 80%.
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