phase III Trial Flashcards

1
Q

what are the 5 objectives of phase 3 trials?

A
  1. (survival- primary) Does someone live longer than someone else?
  2. (disease free survival- secondary) how long does patient live after you remove disease and give treatment? how long before disease comes back?
  3. (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?
  4. quality of life - what is the quality of life difference between the 2 arms?
  5. (does disease respond to treatment? - rare)
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2
Q

how do you set up and determine how many patients you need for clinical phase 3 study?

A

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

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3
Q

what is the holy grail for determining wether drug works or not and getting it licensed?

A

randomized
placebo- controlled
double blinded
multiinstitutional

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4
Q

phase 3 studies in a nutshell

A

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

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5
Q

data management

A
protocol development
data collection
computing
quality control
accurate reporting
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6
Q

calculating and reporting survival times

A

kaplan -meyer product limit where you count all patients who started

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7
Q

kaplan meier survival curves

A

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

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8
Q

what hypothesis is tested?

A

we are trying to disprove the null hypothesis that both arm means are the same with given alpha, beta, and different delta

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9
Q

what is a delta?

A

minimal clinically significant difference (not a statistically significant difference)

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10
Q

a toxic rx vs standard no treatment would need a?

A

large benefit to be worthwhile with very significant pvalue<0.1

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11
Q

new treatment vs existing rx requires?

A

smaller benefit

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12
Q

sample size is driven by?

A

number of deaths expected

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13
Q

if youre going to measure a disease that kills patients quickly, what do you need?

A

you’re going to need smaller population to sample in one year

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14
Q

what are solutions to slow recruitment for trials?

A
  • 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
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15
Q

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?

A

wrong and cannot be used to predict an outcome

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16
Q

the more tests you have the higher your?

A

type 1 false positives are

17
Q

the interim analysis you have

A

the higher the chances of false positives (drug not actually working)

18
Q

whats interim analysis?

A

an analysis of data conducted before data collection has been completed.