phase III Trial Flashcards
what are the 5 objectives of phase 3 trials?
- (survival- primary) Does someone live longer than someone else?
- (disease free survival- secondary) how long does patient live after you remove disease and give treatment? how long before disease comes back?
- (progression free survival) - If there is disease and you’re trying to shrink it and keep it the same, how long before disease starts to grow again?
- quality of life - what is the quality of life difference between the 2 arms?
- (does disease respond to treatment? - rare)
how do you set up and determine how many patients you need for clinical phase 3 study?
sample size determined by the following probabilities;
alpha - false positive (drug actually fails) (accepting H1 when H0 true)
beta - false negative (drug actually works) (accepting H0 when H1 true)
delta - significant difference you want to detect
what is the holy grail for determining wether drug works or not and getting it licensed?
randomized
placebo- controlled
double blinded
multiinstitutional
phase 3 studies in a nutshell
intent to treat patient
interim analysis
data monitoring committee not composed of study leaders calculate survival curves, alternative endpoints
positive outcomes required for FDA approval
data management
protocol development data collection computing quality control accurate reporting
calculating and reporting survival times
kaplan -meyer product limit where you count all patients who started
kaplan meier survival curves
calculate cumulative chance of surviving until the next observation
multiplies probability of surviving at prior observation by probability of surviving at current observation among those surviving prior observation
what hypothesis is tested?
we are trying to disprove the null hypothesis that both arm means are the same with given alpha, beta, and different delta
what is a delta?
minimal clinically significant difference (not a statistically significant difference)
a toxic rx vs standard no treatment would need a?
large benefit to be worthwhile with very significant pvalue<0.1
new treatment vs existing rx requires?
smaller benefit
sample size is driven by?
number of deaths expected
if youre going to measure a disease that kills patients quickly, what do you need?
you’re going to need smaller population to sample in one year
what are solutions to slow recruitment for trials?
- accept smaller number of patients than planned
- relax inclusion criteria
- extend time of recruitment or add centers for recruitment (best option)
- change design
- recycling patients who did not meet eligibility criteria the first time
You calculate your delta, with a given alpha and given beta to give you the number of patients you need to tell the difference and give answer. any other analysis are?
wrong and cannot be used to predict an outcome