Term
|
Definition
Patient with a certain disease or exposure compared to a similar group without the disease or exposure |
|
|
Term
|
Definition
Two groups compared over time -One group with “exposure”, the other without the “exposure” |
|
|
Term
|
Definition
•Best uses -when exposures can’t be controlled -when outcomes occur infrequently -when RCT is not ethical |
|
|
Term
|
Definition
•Best uses -Rare conditions -Diseases or conditions that may take a long time to develop |
|
|
Term
|
Definition
A treatment group is compared to a control group Group members are assigned randomly |
|
|
Term
|
Definition
•Best uses -Drug therapies -Medical treatments |
|
|
Term
|
Definition
The “traditional” or “classic” review |
|
|
Term
|
Definition
Reproducible methods to find and select articles to be included -Should include both inclusion and exclusion criteria -Quality of studies evaluated -Evidence summarized -Findings interpreted |
|
|
Term
|
Definition
-Numeric data from separate studies combined in meta analysis -Uses statistical/mathematical methods to combine numerical data from studies |
|
|
Term
|
Definition
a comparison group receives a standard treatment |
|
|
Term
|
Definition
subjects don’t know what treatment they received |
|
|
Term
|
Definition
subjects and investigators don’t know what treatment they received |
|
|
Term
INTENTION TO TREAT ANALYSIS |
|
Definition
pts are analyzed in the groups they were randomized not the treatment they received |
|
|
Term
|
Definition
control subjects receive a placebo (inactive pill) or “sham” treatment |
|
|
Term
|
Definition
subjects receiving different treatments are matched to balance confounding variables (e.g. sex, age), results analyzed in terms of differences between pairs |
|
|
Term
|
Definition
P- population I- intervention C- comparison O- outcome |
|
|
Term
HOW TO EVALUATE THE EQUALITY OF A STUDY: PP-ICONS |
|
Definition
Problem Patient or Population Intervention Comparison Outcome Number of Subjects Statistics |
|
|
Term
|
Definition
used to determine “significance” of results -Assume that there is no difference between the groups (null hypothesis) -What is the chance that the effect we see is due to chance alone (e.g. really no difference)? -Traditional cut off 0.05 i.e. less than 1/20 chance results are false |
|
|
Term
|
Definition
proportion of pts responding to control treatment |
|
|
Term
Experimental event rate (EER) |
|
Definition
proportion of pts responding to experimental treatment |
|
|
Term
|
Definition
a ratio of the incidence of a health outcome in treatment vs. control |
|
|
Term
Number needed to treat (NNT) |
|
Definition
number of pts who must be treated to prevent one adverse event |
|
|
Term
Number needed to harm (NNH) |
|
Definition
number of pts who must receive and intervention to be harmed |
|
|
Term
|
Definition
ability of test to identify those with disease (SNOUT) |
|
|
Term
|
Definition
ability of test to identify those who don’t have disease (SPIN) |
|
|
Term
|
Definition
systemic errors in the way the study was designed, executed, or interpreted |
|
|