Screenings in Medicine Flashcards
In a 2x2 table for screening tests, what are the labels for the rows and columns?
Rows: screening test pos/neg
Columns: disease presence “truth”
What is a “true positive”? What box in a 2x2 table do these people live in?
Someone has the disease and the screening test comes back positive. Test is accurate so it is a “true” measure. Live in box “A”
What is a “true negative”? What box of the 2x2 table do these people live in?
Someone who doesn’t have the disease and the screening test comes back negative. The test is accurate so it is a “true” measure. Live in box “D”
What is a “false negative”? What box of the 2x2 table do these people live in?
When the screening test comes back negative when the person actually does have the disease. The test is not accurate. Live in box “C”
What is a “false positive”? What box of the 2x2 table do these people live in?
When the screening test comes back positive when the patient does not actually have the disease. The test is not accurate. Live in box “B”
What is the sensitivity of a screening test?
How well a test can detect the presence of disease when in fact disease IS present.
Proportion of time that a test is positive in a patient that does have disease.
If you have a highly sensitive screening test, what is the rate of false negatives?
Very low
How would you calculate the sensitivity of a screening test?
Sensitivity= TP/(all diseased)x100%
When measuring the sensitivity of a screening test, would you be analyzing rows or columns?
Columns
What is the specificity of screening tests?
How well a test can detect absence of disease when in fact the disease is absent.
Proportion of time that a test is negative in a patient that does NOT have the disease
A highly specific screening test has what kind of rate of false positives?
Very low
How would you measure the specificity of a screening test?
Specificity=TN/(all not diseased)x100%
What is the positive predictive value of a screening test?
How accurately a positive test predicts the presence of disease.
Measures the percentage of TP’s in patients with a positive test (correct predilection)
When measuring specificity of a screening test, are you considering the rows or columns of the 2x2 table?
Columns
How would you calculate the positive predictive value of a screening test?
PPV=TP/(all positive tests)x100%