True positive
Citation, DOI, disclosures and article data
At the time the article was created Stefan Tigges had no financial relationships to ineligible companies to disclose.
View Stefan Tigges's current disclosuresAt the time the article was last revised Daniel J Bell had no financial relationships to ineligible companies to disclose.
View Daniel J Bell's current disclosures- True positive (TP)
- True positives
True positive (TP) is one of 4 possible outcomes when using a test with a binary outcome to detect disease: "test positive" is when the test result signifies that disease is present and "test negative" is when the test result signifies that disease is absent 1-3. A positive test in someone with disease is a true positive. The true positive rate (the probability of a positive test result in someone with disease) is also known as the sensitivity.
There are 3 other possible test outcomes:
false positive (FN)
true negative (TN)
false negative (FN)
Quiz questions
References
- 1. Parikh R, Mathai A, Parikh S, Chandra Sekhar G, Thomas R. Understanding and Using Sensitivity, Specificity and Predictive Values. Indian J Ophthalmol. 2008;56(1):45-50. doi:10.4103/0301-4738.37595 - Pubmed
- 2. Tigges S. Diagnostic Test Metrics and Receiver Operating Characteristic Curves: The Graphic Novel. J Am Coll Radiol. 2022;19(9):1034-41. doi:10.1016/j.jacr.2022.06.011 - Pubmed
- 3. Loong T. Understanding Sensitivity and Specificity with the Right Side of the Brain. BMJ. 2003;327(7417):716-9. doi:10.1136/bmj.327.7417.716 - Pubmed
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