General IM Flashcards
Calculated as (all true-positive test results) / (true-positive and false-negative test results)
Sensitivity
Calculated as (all true-negative results) / (true-negative and false-positive results)
Specificity
Calculated as (true-positive test results) / (all positive test results)
Positive predictive value
Calculated as (true-negative test results) / (all negative test results)
Negative predictive value
The probability that the patient has the disease if the test is positive
Positive predictive value
The probability that the patient does not have the disease if the test is negative
Negative predictive value
A receiver operating characteristic curve is a graph of this relationship between sensitivity and specificity
Sensitivity vs. (1 - specificity)
it is a graph of the true-positive rate [y] vs. false-positive rate [x]
Direction of change in positive predictive value as prevalence of the disease increases
Increases
Direction of change in negative predictive value as prevalence of the disease increases
Decreases
A measurement of the odds of having a disease independent of the disease prevalence
Likelihood ratio
Formula for positive likelihood ratio
Sensitivity / (1 - specificity)
Formula for negative likelihood ratio
(1 - sensitivity) / specificity
A likelihood ratio of 2 increases the probability of disease by approximately this percentage
15%
A likelihood ratio of 5 increases the probability of disease by approximately this percentage
30%
A likelihood ratio of 10 increases the probability of disease by approximately this percentage
45%
A likelihood ratio of 0.5 decreases the probability of disease by approximately this percentage
15%
A likelihood ratio of 0.2 decreases the probability of disease by approximately this percentage
30%
A likelihood ratio of 0.1 decreases the probability of disease by approximately this percentage
45%
In this study design, the presence of the presumed risk factor and presence of the outcome are measured at the same time in a population
Cross-section
In this study design, subjects are divided into groups based on the presence or absence of the outcome of interest and then the frequency of risk factors in each group is compared
Retrospective (case control)
In this study design, subjects are divided into groups based on the presence or absence of the presumed risk factor and followed for a period of time; frequency of the outcome is compared at the end of the study
Prospective (cohort)
In this study design, subjects are randomly divided into groups; one group receives the intervention and followed forward in time; frequency of the outcome is compared at the end of the study
Randomized controlled trial
In this study, multiple small clinical trials using similar randomization techniques and interventions are combined into one large analysis to address very precise clinical questions
Systematic review
The difference in absolute risk of patients who received the intervention and those who did not
Absolute risk reduction (ARR)