A new trial on a novel test for identifying acute myocardial infarction (AMI) has been begun. The test's sensitivity is assessed to be 75% and its specificity to be 80%. The research includes 600 patients, 200 of whom are AMI instances as established by the diagnostic gold standard. How many false negatives may be anticipated in the study?

Question

Quizplus · Accepted Answer

Eductional Objective: A test's sensitivity influences how well it categorizes people with the condition of interest. Higher sensitivity tests are more likely to award a positive test result to people who genuinely have the condition; these are known as true positives (rightmost part of the curve). Patients who test negative despite having the condition are termed false negatives (leftmost part of the curve).
True positives (TP) and false negatives (FN) are mutually beneficial (ie, an increase in one parameter is exactly offset by a decrease in the other, such that the total is always equal to the number of confirmed patients). As a result, the test sensitivity and number of illness patients may be used to calculate the nubmer of each 
In this case, the sensitivity of the test is 75% and the total number of patients with confirmed acute myocardial infarction is 200. Therefore, a test that is 75% sensitive will correctly classify 75% of the patients as positive (TP) and incorrectly classify 25% of the patients (1 - Sensitivity) as negative (FN).

A New Trial on a Novel Test for Identifying Acute