American Board of Surgery Qualifying Exam (ABS QE) Practice Test

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What does Positive Predictive Value (PPV) refer to in medical terms?

  1. TP/(TP+FP)

  2. TN/(TN+FN)

  3. TP/TP+FN

  4. FN/(TP+FP)

The correct answer is: TP/(TP+FP)

Positive Predictive Value (PPV) is a key concept in medical statistics, specifically in the context of diagnostic testing. It indicates the probability that a patient has a disease given that they tested positive for it. The formula for calculating PPV is defined as the ratio of true positives (TP) to the sum of true positives and false positives (TP + FP). In simpler terms, PPV answers the question: "When a test result is positive, how often is it correct?" A high PPV means that the test is effective at confirming the presence of a condition when it is indicated as such by the test. This metric is especially important in clinical settings because it helps clinicians understand the likelihood that a positive test result is valid, which can influence decisions regarding further testing or treatment. The other options represent different metrics related to diagnostic tests. For instance, true negative (TN) counts and false negative (FN) counts are involved in calculating other values like Negative Predictive Value (NPV) or specificity, but they do not pertain to PPV. Understanding these distinctions is crucial for grasping the overall performance of diagnostic tests in a clinical context.