Which statement best describes the use of a test with high sensitivity?

Which statement best describes the use of a test with high sensitivity?

• A. Ruling in disease when positive
• B. Predicting prognosis
• C. Not affected by prevalence
• D. Ruling out disease when negative

Answer: (D)

A test with high sensitivity is most useful for ruling out disease when the result is negative. Sensitivity measures how good the test is at identifying people who have the disease; when sensitivity is high, there are few false negatives. So if the test comes back negative, you can be relatively confident that the person truly does not have the disease, which is the idea behind ruling out with a negative result (often summarized as SnNout). This contrasts with ruling in, which relies more on high specificity (fewer false positives). The statement about not being affected by prevalence isn’t how this concept is used in practice—prevalence affects predictive values, not the intrinsic property of sensitivity itself.

A test with high sensitivity is most useful for ruling out disease when the result is negative. Sensitivity measures how good the test is at identifying people who have the disease; when sensitivity is high, there are few false negatives. So if the test comes back negative, you can be relatively confident that the person truly does not have the disease, which is the idea behind ruling out with a negative result (often summarized as SnNout).

This contrasts with ruling in, which relies more on high specificity (fewer false positives). The statement about not being affected by prevalence isn’t how this concept is used in practice—prevalence affects predictive values, not the intrinsic property of sensitivity itself.