Sensitivity
Disclosures
- updated 10 May 2023:
Nothing to disclose
Updates to Article Attributes
Body
was changed:
The sensitivity of a test/investigation is defined as the ability of the test to identify true positive cases of the disease under question. Sensitive tests are useful for ruling out disease.
Calculation
Sensitivity = true positives detected by test / total cases of the disease where total cases with the disease = true positives + false negatives.
-<p>The <strong>sensitivity </strong>of a test/investigation is defined as the ability of the test to identify true positive cases of the disease under question. Sensitive tests are useful for ruling out disease. </p><h4>Calculation</h4><p>Sensitivity = true positives detected by test / total cases of the disease where total cases with the disease = true positives + false negatives. </p>- +<p>The <strong>sensitivity </strong>of a test/investigation is defined as the ability of the test to identify true positive cases of the disease under question. Sensitive tests are useful for ruling out disease. </p><h4>Calculation</h4><p>Sensitivity = true positives detected by test / total cases of the disease where total cases with the disease = true positives + false negatives. </p>
References changed:
- 2. Tigges S. Diagnostic Test Metrics and Receiver Operating Characteristic Curves: The Graphic Novel. Journal of the American College of Radiology. 2022;19(9):1034-41. <a href="https://doi.org/10.1016/j.jacr.2022.06.011">doi:10.1016/j.jacr.2022.06.011</a> - <a href="https://www.ncbi.nlm.nih.gov/pubmed/35970257">Pubmed</a>
- 3. Loong T. Understanding Sensitivity and Specificity with the Right Side of the Brain. BMJ. 2003;327(7417):716-9. <a href="https://doi.org/10.1136/bmj.327.7417.716">doi:10.1136/bmj.327.7417.716</a> - <a href="https://www.ncbi.nlm.nih.gov/pubmed/14512479">Pubmed</a>
Unable to process the form. Check for errors and try again.