Negative Predictive Value - Worked Example

Worked Example

Suppose that a fecal occult blood (FOB) screen test is used in 2030 people to detect bowel cancer:

Patients with bowel cancer
(as confirmed on endoscopy)
Condition Positive Condition Negative
Fecal
Occult
Blood
Screen
Test
Outcome
Test
Outcome
Positive
True Positive
(TP) = 20
False Positive
(FP) = 180
Positive predictive value = TP / (TP + FP)
= 20 / (20 + 180)
= 10%
Test
Outcome
Negative
False Negative
(FN) = 10
True Negative
(TN) = 1820
Negative predictive value = TN / (FN + TN)
= 1820 / (10 + 1820)
99.5%
Sensitivity = TP / (TP + FN)
= 20 / (20 + 10)
67%
Specificity = TN / (FP + TN)
= 1820 / (180 + 1820)
= 91%

In this setting, with NPV = 99.5%, a negative test result may provide some reassurance that the subject is unlikely to have cancer. This high NPV value would be particularly notable if the cancer were relatively common. For example, if 5% of people in the population had bowel cancer, then a NPV of 99.5% would indicate that a person with a negative test result has much lower than the average population risk for bowel cancer. However if the prevalence of bowel cancer were 0.5%, a negative test result in this setting would be uninformative.

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