Non-Inferiority Flashcards
Superiority
- What is it
To prove if an intervention is better than another
- Superiority vs Placebo
Superiority
- Hypothesis Testing
Null Hypothesis: Assume at first that treatment has no effect
Alternative Hypothesis: Assume there is a difference between groups
Superiority
- Rejecting Null Hypothesis
Just because we do not reject the null hypothesis does not mean that the null hypothesis is true
Equivalence
- What is it
To prove if an intervention is similar to another
Equivalence Trials
Seeks to rule out differences between two treatments
- To establish bioequivalence
Bioequivalence
If CI is equal to 1 equivalent
If CI does not contain 1 equivalent
If CI contains 1 and is not equal to 1 NO equivalence
Non-inferiority
To prove if an intervention not worse than another drug
When are NIFT preferred
CVOT in diabetes
Antibiotics
New Inhaled COPD Therapy
New Oral anticoagulants in atrial fibrillation
NIFT
- Hypothesis Testing
Null Hypothesis
- There is a difference between the groups
Alternative Hypothesis
- Difference between new and old intervention is less than ___
Non-Inferiority and Superiority
A non-inferiority trials can show superiority
- Must show non-inferiority first and then superiority
Interpreting NIFT
Three Interpretations
1. Both drugs are equal
2. Both drugs are ineffective
3. The trial could not find a differnce
–> However, does not mean they are equivalent
Common errors in NIFT
- Just because the trial fails to find a difference does not make the groups equivalent
Intention to Treat vs Per Protocol Analysis
Use Intention To Treat for Non-Inferority Trials
- ITT favours no difference (underestimates)
- PPA favours a difference (favours against non-inferiority) (overestimates)
How to tell if a trial has Non-Inferiority Goal
The intervention is not that much worse than the control
Margin of Inferiority
50% of the minimal treatment effect of the active control should be preserved
- Want to use the smallest acceptable degree of clinical inferiority (Want to show no important loss of efficacy)