Quiz 1 Flashcards
Test threshold
the probability below which a diagnostic test will not be ordered or performed because the possibility of the diagnosis is so remote
Treatment threshold
the probability above which a diagnostic test will not be ordered or performed because the possibility of the diagnosis is so great that immediate treatment is indicated (open/compound fracture, ECG, MI, smoker, obese)
Critique on Dx Tests
- Why do these studies?
- What are the best study designs?
- Is the new test better than others available?
- Are studies on the diagnosis valid?
- Does the test help distinguish patients with or without the disorder?
- Would the test benefit my patient?
Sensitivity
Ability to detect patients who actually have the condition
SnOUT
higher Sensitivity = more likely that a Negative finding rules out the disorder.
Sensitivity calculation
Sensitivity = d / (b + d)
Specificity
ability to detect those who do not have the condition
SpIN
higher Specificity = more likely that a Positive finding rules in the disorder.
Specificity calculation
Specificity = a / (a + c)
Positive predictive value
- Ability of the test to correctly determine % of people with disorder from all of the people with positive test results
- Patients w disorder that tests positive/patients who test positive.
Negative predictive value
- Ability of the test to correctly determine % of people without the disorder from all of the people with a negative test result
- Patients’ w/o disorder that test negative/patients who test negative.
Positive likelihood ratio
Likelihood that a positive test was observed in a person with the disorder vs a person without the disorder (>10)
- > 10 is large and conclusive change, 1-2 negligible change pre to post test
- LR+ = sensitivity / (1 – specificity)
Negative likelihood ratio
Likelihood that a negative test result is observed in a person with the disorder vs a person without the disorder (<1)
a. <0.1 large and conclusive, 0.5-1 negligible change pre to post test
b. LR- = (1 – specificity) / sensitivity
Likelihood ratios
i. Likelihood ratios have values > 0
ii. Likelihood ratios = 1 is no better than chance that your Dx indicates the presence of the disorder
Validity (2x2 square)
x axis (disease present, disease absent)
y axis (positive test, negative test)
Limitations to sensitivity and specificity
- Only indicate test performance in individuals whose status are known (have condition or not).
- Reduce the choice information about a test to 2 options based on threshold to be either positive or negative.
o Difficult when a test has a range of scores may indicate a range of severity of disorder. Inefficient to continuously calculate for each level of severity. - Why can’t you have both 100% sensitivity and specificity? They are inversely related. As one increases the other tends to decrease. (True positives vs negatives).
Advantage of likelihood ratios
- Ratios can be calculated for all levels of condition.
- Not dependent on prevalence of condition in the population.
- Ratios can be applied by an individual patient whereas sensitivity/specificity or +/- predictive values refer to groups of people.