Diagnostic Testing Flashcards
Calculation for sensitivity
“Positivity in disease”
Sensitivity=TP/(TP+FN)
goes down with each FN
Calculation of specificity
“negativity in health”
Specificity=TN/(TN+FP)
goes down with each false positive
The likelihood that a negative test result is a TN rather than a FN
predictive value of negative
formula for predictive value of a negative test result
PV-=TN/(TN+FN)
aims for 100% prediction of true negatives
goes down with each FN
related to sensitivity
predictive value of a positive test result
PV+=TP/(TP+FP)
related to specificity
calculation of prevalence (in terms of TP, TN, FP, FP)
(TP+FN)/(TP+FN+FP+TN)
essentially, this takes the total number of people who actually have the disease and divides it by the total number of people in the population.
Tests with a specificity of 100%; what is the PV+?
-should you confirm or exclude the disease if it’s positive?
PV+=100%
confirms disease
Tests with a sensitivity of 100%; what is the PV-?
-should you confirm or exclude the disease if it’s negative?
PV-=100%
exclude the disease
what is prevalence?
the total number of people with disease in a population
what happens to PV- and PV+ when there is a low prevalence of disease?
PV- goes up
PV+goes down
what happens to PV- and PV+ when there is a high prevalence of disease?
PV- goes down
PV+goes up
how many people have a disease if the prevalence of SLE is 1% in a population of 1000?
how many TP/FN/TN/FP if serum ANA sensitivity is 100% and specificity is 80%?
1000x0.01=10
10x100%sensitivity=10 TP, 0 FN
990x80%specificity=792 TN, 198 FP