Interventional studies Flashcards

1
Q

All interventional studies have

A

Phases

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2
Q

Differentiators of phases

A

Purpose/focus
Population studied (healthy/diseased)
Sample size
Duration (depends on disease)

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3
Q

Pre-clinical stage

A

“Bench” or animal research

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4
Q

Phase 0

A
  1. Assess drug-target actions and possibly pharacokinetics in single or first few doses (first in-human use)
  2. Healthy or diseased volunteers
  3. Very small sample size (<20)
  4. Very short duration (single dose/few days)

Safety and efficacy not seen here

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5
Q

Phase 1

A
  1. Assess safety/tolerance and pharmacokinetics of one or more dosages
  2. Healthy or diseased volunteers
  3. Small N (20-80)
  4. Short duration (few weeks)
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6
Q

Phase 2

A
  1. Assess effectiveness (continue to assess safety)
  2. Diseased volunteers (NO HEALTHY SUBJECTS, may have narrow inclusion criteria)
  3. Larger N (100-300)
  4. Short to medium duration (few weeks-few months)
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7
Q

Phase 3

A
  1. Assess effectiveness and safety
  2. Disease volunteers (NO HEALTHY subjects, may expand inclusion criteria)
  3. Larger N (500-3000)
  4. Longer duration (few months to a year+)
    If company is using study to submit to FDA for approval, it is phase 3
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8
Q

Phase 4

A

Post FDA approval

  1. Assess long term safety, effectiveness, optimal use
  2. Diseased volunteers (expand selection criteria)
  3. Population few hundred to few hundred thousand
  4. Wide range of durations
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9
Q

Advantages of interventional trials

A

Can demonstrate causation

Only study designs used by “FDA” for approval process

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10
Q

Disadvantages of interventional trials

A

Cost
Complexity/time
Ethical considerations
Generalizability/external validity

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11
Q

Explanatory (pragmatic) trials

A

Patients can switch drugs in middle of study

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12
Q

Simple interventional design

A

Divides subjects exclusively into 2+ groups
Commonly used to test a single hypothesis at a time
Only ONE randomization step

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13
Q

Factorial interventional design

A

Randomizes subjects into 2+ groups and then further randomizes each group into 2+ sub groups
Used to test multiple hypotheses at same time

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14
Q

Pros/cons factorial design

A

Improves efficiency for answering clinical questions
Increases study sample size
Increases complexity (may be a barrier to recruitment)
Increases risk of dropouts
May restrict generalizability

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15
Q

Parallel interventional design

A

Groups simultaneously and exclusively managed
No switching of intervention groups after initial randomization
All simple/factorial study designs are also parallel

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16
Q

Cross-over interventional design

A

Groups serve as their own control by crossing over from one intervention to another during study
-allows for smaller total N

17
Q

Run-in/Lead-in phase

A
Before study begins
All study subjects blindly given one or more placebos for initial therapy to determine a "new" base-line of disease
-Can assess study protocol compliance
-Can wash out existing medication
-Can determine amount of placebo effect
18
Q

Disadvantages of cross over design

A

Only suitable for long term conditions which are not curable or which treatment provides short-term relief
Duration of study for each subject is longer
Carry-over effects during cross over (wash-out required)
Complexity in data analysis
Smaller N requirement only applicable if within-subject variation less than between-subject variation

19
Q

Patient oriented end points

A

Death
Stroke
Hospitalization

20
Q

Disease oriented end points

A

Blood pressure

Cholesterol

21
Q

Table 1 customarily used to

A

Show group characteristics

22
Q

Blocked randomization

A

Ensures balance within each intervention group

-when researches want to assure that all groups are equal in size

23
Q

Stratified randomization

A

Ensures balance with known confounding variables (i.e., gender, age, race)

24
Q

Single blind masking

A

Study subjects not informed what group they are in but researcher know

25
Q

Open label

A

No masking/blinding

26
Q

Double-dummy

A

More than one placebo is used

27
Q

Post-hoc sub-group analysis

A

No considered appropriately if not prospectively planned

28
Q

Intention to treat

A

Way of managing drop-outs

  • use last known observation for all subsequent, yet missed assessments
  • convert all subsequent yet missed assessments to a null-effect (no benefit)
29
Q

Intention to treat results in

A

Preserves randomization process
Preserves baseline characteristics and group balance at baseline
Maintains statistical power

30
Q

Techniques to manage drop-outs

A

Intention to treat
Ignore them - Per protocol or efficacy analysis
Treating them “as treated” - allow subjects to switch groups and be evaluated in whichever one they are iin

31
Q

Impact of Per-protocol technique

A

Biases estimates of effect- commonly overestimates

Reduces generalizability

32
Q

Methods of assessing compliance

A

Drug levels
Pill counts at each visit
Bottle counter tops

33
Q

Methods of improving compliance

A

Frequent follow ups
Treatment alarms
Medication blister packs/dosage containers