Sensitivity versus Specificity
Continuing Education Credits
Objectives
- Define sensitivity and specificity.
- Identify true positives, false positives, true negatives, and false negatives within a 2×2 diagnostic table.
- Calculate sensitivity and specificity using laboratory testing data and standard mathematical formulas.
Course Outline
- Overview
- Overview
- Sensitivity
- Calculating Sensitivity
- A diagnostic test is evaluated in 120 patients with confirmed disease. 96 test positive 24 test negative What is the sensitivity of the test?
- A validation study produces the following results: True Positives (TP): 45 False Negatives (FN): 15 What is the sensitivity?
- Specificity
- Calculating Specificity
- A laboratory evaluates test performance in 200 patients without disease. 170 test negative 30 test positive What is the specificity?
- A confirmatory assay is tested on 250 disease-negative patients. 240 correctly test negative 10 falsely test positive What is the specificity?
- 2x2 Diagnostic Table
- A test is compared to a reference method with the following results:Disease PresentDisease AbsentTest Positive7020Test Negative3080What is the sensitivity?
- Using the same data, what is the specificity?Disease PresentDisease AbsentTest Positive7020Test Negative3080
- Case Scenario 1
- Case Scenario 2
- Case Scenario 3
- Case Scenario 4
- Case Scenario 5
- A test with high sensitivity but low specificity is most useful for:
- Which situation is most concerning when using a test with low sensitivity?
- A laboratory test produces very few false-positive results but misses a moderate number of true disease cases. This test is best described as having:
- Which of the following best describes specificity?
- A screening test has very high sensitivity but moderate specificity. What is the most appropriate laboratory action when a patient tests positive?
- In a validation study, a test yields the following results: True Positives (TP): 40 False Negatives (FN): 10 What is the sensitivity?
- Which statement about sensitivity and specificity is true?
- A negative result from a highly sensitive test is most useful for:
- A diagnostic test correctly identifies 95 out of 100 patients who truly have a disease; 5 patients with the disease test negative. What is the sensitivity of the test?
- References
- References

