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Screening tests are essential tools in healthcare to detect the presence or absence of a disease in asymptomatic individuals. For instance, the ELISA test is commonly used to screen for HIV infection, with test results indicating either a positive or negative status. The accuracy of these tests is often validated by comparing test outcomes against a gold-standard test, such as the Western blot for HIV.
Screening tests are evaluated based on true-positive, false-positive, true-negative, and false-negative outcomes. These terms help physicians understand the relationship between test results and the actual disease status.
The efficacy of a screening test is often analyzed using a 2 × 2 table that compares the disease status and test results. The table below organizes the outcomes for each combination of test results and disease presence or absence.
Disease Status | Present | Absent | Totals |
---|---|---|---|
Test Positive | TP = 60 | FP = 70 | TP + FP = 130 |
Test Negative | FN = 40 | TN = 30 | TN + FN = 70 |
Totals | TP + FN = 100 | TN + FP = 100 | TP + TN + FP + FN = 200 |