If a test for colon cancer has a sensitivity of 43%, how many patients out of 100 would be expected to test positive if they all had the disease?

Sensitivity refers to a test's ability to correctly identify individuals who have a disease. In other words, it is the proportion of true positives (those who have the disease and test positive) among all individuals who actually have the disease.

In this case, a sensitivity of 43% indicates that out of 100 patients who actually have colon cancer, 43 of them would be expected to test positive. The remaining 57 patients who have the disease would test negative, which reflects the false-negative portion of the test. Therefore, if all 100 patients indeed have colon cancer, only 43 would receive a positive test result. This reinforces the importance of understanding sensitivity in evaluating the performance of diagnostic tests in clinical practice.