The interpretation of test results depends on several factors, including the prevalence of the disease in the population and the test's sensitivity and specificity. In populations with low disease prevalence, even tests with high sensitivity and specificity can yield a high number of false positives. Therefore, test results should be interpreted in the context of other clinical findings and epidemiological information.
