Lecture 8: interventional studies Flashcards

1
Q

how are interventional studies divided up (in increasing evidence)

A

phase 0 through phase 4

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2
Q

what are the differentiators within each phase?

A
  1. purpose/focus
  2. population studied (healthy/diseased)
  3. sample size
  4. duration
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3
Q

pre-clinical

A

prior to human investigations– bench or animal research

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4
Q

phase 0

A

exploratory; investigational new drug– FIRST human contact

  1. assess drug-target actions and possibly pharmacokinetics in single or ‘a few’ doses
  2. healthy (or diseased in oncology) volunteers
  3. small population (less than 20)
  4. short duration (single dose to few days)
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5
Q

phase 1

A

investigational new drug

  1. assess safety/tolerance (first in human)
  2. healthy OR diseased
  3. small pop (20-80)
  4. short –> few days to few weeks
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6
Q

phase 2

A

investigational new drug

  1. assess effectiveness, continues to assess safety/tolerability
  2. diseased
  3. 100-300
  4. short to medium duration–> few weeks to few months
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7
Q

phase 3

A

investigational new drug–> LAST PHASE before FDA approval

  1. assess effectiveness
  2. diseased (expanded inclusion criteria & placebo comparison)
  3. 500-3000
  4. few months to a year
    * *few rounds of this needed
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8
Q

phase 4

A

post FDA approval

  1. assess long-term safety, effectiveness, and optimal use
  2. diseased volunteers
  3. whole population used
  4. wide-range of durations (few weeks to several years)
    * **registries and surveys used to track long-term
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9
Q

advantages of interventional trials

A

cause precedes effect–> can demonstrate CAUSATION

only designs used by FDA 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

exploratory study

A

answers research question –> EXPLORES research for dosages, etc.

useful? helpful? best dose?

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12
Q

explainatory (pragmatic) study

A

real clinical life
clinicians making decisions: dosages changes, drug switches, etc.
hard to compare at the end

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13
Q

interventional study designs (pick one of each)

A
  1. simple OR factorial

2. parallel OR cross-over

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14
Q

simple interventional study

A

only ONE randomization step to divide subjects into groups

tests SINGLE hypothesis at a time

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15
Q

factorial interventional study

A

randomizes subjects into groups TWO OR MORE times
can ask more than one question at a time
ex: drug 1 alone OR drug 1 + 2 combined better??

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16
Q

parallel interventional study

A

groups are simulataneously and exclusively managed; once they’re randomized into groups they STAY there = no cross-over occuring

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17
Q

cross-over interventional study

A

groups serve as their own control by crossing over from one intervention to another during the study

  • -allows for smaller study size because you can get double the data from a single person (they try both drugs)
  • -DOWNFALL: lasts longer because they’re followed for BOTH drugs and they have washout phase; only suitable for long-term conditions that are not curable; complex data analysis
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18
Q

what two phases occur before/during a cross-over interventional study

A

lead in phase

wash out phase

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19
Q

lead in phase

A

“practice run” with placebo to flush out previously used drugs AND test compliance, adherence, etc.
can determine new baseline

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20
Q

wash out phase

A

period of time where NO drugs are given in order to clear system before next drug is given

21
Q

outcomes/endpoints of interventional studies

A

primary = most important
secondary, tertiary, etc. = lesser importance, but still valuable
composite = combines multiple endpoints into single outcome

22
Q

patient-oreinted endpoints (POEM’s)

A

death, stroke, myocardial infarction, hospitalization, preventing need for dialysis

23
Q

disease-oreinted endpoints (DOE’s)

A
blood pressure (for stroke risk)
cholesterol (for heart attack risk)
change in SCr (for worsening renal function)
24
Q

purpose of randomization

A

to make groups as equal as possible, based on known and unknown important factors (confounders); attempts to reduce bias between groups

–equality is NOT guarenteed & documentation of equality of groups must be reported

25
Q

types of randomization

A

simple
blocked
stratified

26
Q

simple randomization

A

equal probability for allocation within one of the study groups (just normal randomization)

27
Q

blocked randomization

A

ensures balance within each intervention group; used when researchers want to make sure they’re equal SIZE
–block “checks” can influence where people are put in groups to ensure same numbers in each

28
Q

stratified

A

ensures balance with known confounding variables

ex: gender, age, disease, comorbidities, etc.

29
Q

types of masking in interventional studies

A

single-blind
double-blind
open-label
placebo (dummy) therapy

30
Q

single-blind study

A

study subjects not informed which group they’re in

investigators do know

31
Q

double-blind study

A

neither investigators nor study subjects are informed which intervention group subjects are in

32
Q

open-label

A

both study subjects and researchers know what intervention is being received

33
Q

placebo (dummy) therapy

A

inert treatments made to look identical in all aspects to the active treatments; dosage form, dosing frequency, monitoring, etc.

34
Q

double dummy therapy

A

more than one placebo used

35
Q

placebo effect

A

improvement in condition by power of suggestion of being “treated” (can be as large as 30-50%)

36
Q

hawthorne-effect

A

study subjects change their behavior solely due to awareness of being studied/observed

37
Q

post-hoc sub-group analysis

A

not accepted as appropriate, by most, when NOT prospectively planned
–“data-dredging” or “fishing”
IS accepted when planned ahead

38
Q

ways to manage drop-outs/lost-to-follow-ups

A
  1. include them anyway: intent to treat
  2. ignore them
  3. treat them “as treated”
39
Q

intent to treat

A
  • *most conservative decision
  • -last known observation is carried forward for all subsequent assessments (LOCF)
  • -convert all subsequent yet missed to assessments to a null-effect (no benefit)
40
Q

result of intent-to-treat

A

preserved randomization process
preserves baseline characteristics and group balance at baseline, which controls for known and unknown confounders
maintains statistical power

41
Q

ignoring drop-outs

A

including only compliant or completing subjects

  • -per protocol or efficacy-analysis
  • compliance must be pre-defined
42
Q

treating drop outs “as treated”

A

ignores group assignments

allows subjects to switch groups and be evaluated in group they moved to, end in, or stayed in most

43
Q

impact of drop out decisions

A

per-protocal results in biases estimates of effect (commonly over-estimates)
-reduces generalizability

44
Q

how to assess adherence (compliance)

A

drug levels
pill counts at each visit
bottle counter-tops

45
Q

how to improve adherence (compliance)

A

frequent follow-up visits/communications
treatment alarms/notifications
medication blister packs or dosage containers

46
Q
A
47
Q
A
48
Q
A