Diagnostic Accuracy Studies
Core summary
Diagnostic accuracy studies evaluate how well a test identifies a disease by comparing it to a reference standard. Results are summarized using sensitivity (ability to detect disease) and specificity (ability to rule it out), often displayed in a 2×2 table.
Detailed explanation
Detailed explanation
A diagnostic accuracy study recruits patients suspected of having a condition, applies both the index test (the test being evaluated) and a reference standard (the best available method for confirming the diagnosis), and compares the results. The 2×2 table cross-tabulates test results (positive/negative) against disease status (present/absent), yielding four cells: true positives (TP), false positives (FP), false negatives (FN), and true negatives (TN). Sensitivity = TP/(TP+FN) — the proportion of truly diseased patients correctly identified. Specificity = TN/(TN+FP) — the proportion of truly disease-free patients correctly identified. Other important metrics include positive predictive value (PPV = TP/(TP+FP)), negative predictive value (NPV = TN/(TN+FN)), and likelihood ratios. Receiver operating characteristic (ROC) curves plot sensitivity against (1-specificity) at different cut-off thresholds. STARD (Standards for Reporting Diagnostic Accuracy) provides the reporting checklist for these studies.
Clinical example
You are evaluating a new rapid antigen test for strep throat. You test 500 children and also perform throat culture (reference standard). You find the rapid test has 90% sensitivity and 95% specificity — meaning it catches 90% of true infections and correctly identifies 95% of non-infections.
Research example
The landmark evaluation of high-sensitivity troponin for diagnosing myocardial infarction demonstrated near-100% sensitivity with the trade-off of lower specificity. This information transformed emergency department protocols by establishing troponin as a reliable rule-out test.
Knowledge check
Q1. What does sensitivity measure?
Q2. Which reporting guideline is used for diagnostic accuracy studies?
Q3. In a 2×2 table, what is a false negative?