Lecture 11 (RCTs) Flashcards

1
Q

Treatment is:

A
  • any intervention intended to improve the course of a disease after the disease is established.
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2
Q

Intervention is:

A
  • an action intended to change the course of disease, ranging from prevention to palliative care at the end of life.
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3
Q

RCT definition/summary:

A
  • prospective, interventional, gold standard
  • treatment versus placebo — watch outcome
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4
Q

Necessary components of a RCT:

A
  • inclusion/exclusion criteria
  • stopping rules for clear evidence of harm, efficacy, and benefit
  • informed consent
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5
Q

Stats of a RCT:

A

NNT, RR, AR, ARR

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6
Q

When NOT to run a RCT:

A
  • Unnecessary: intervention to be test clearly already works
  • Inappropriate (unethical)
  • Impossible (to randomize and control exposure)
  • Inadequate (not best study for question)
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7
Q

Effect of randomization:

A
  • controls for confounding through equal distribution of confounders between groups
  • larger the sample size, the better chance randomization decreases confounding
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8
Q

Stratification:

A
  • stratify by a strong prognostic factor like age or location
  • must occur prior to randomization
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9
Q

During the maintenance phase (time during intervention), patients may:

A
  • Not have the disease of interest
  • Not adhere to treatment
  • Cross-over
  • Co-intervention
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10
Q

Cross-over:

A
  • when patients take the other group’s treatment during follow-up
  • reduces observed treatment effect
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11
Q

Co-intervention:

A
  • patients take other treatment besides the one being studied
    • can be a problem if patients and physicians are not blinded
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12
Q

Four levels of blinding:

A
  • allocation concealment
  • single blind - patients
  • single blind - physicians
  • double blind - patients and physicians
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13
Q

Allocation concealment:

A
  • clinicians and investigators who are entering subjects don’t know which group the patient will be in.
  • Reduces selection bias.
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14
Q

Types of RCT outcomes:

A
  • primary: main hypothesized outcomes
  • secondary: too many may cause Type 1 error - multiple comparisons
  • composite outcomes: evaluate each component of study
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15
Q

Efficacy definition:

A

does treatment work under ideal conditions?

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16
Q

Effectiveness definition:

A

does treatment work in the real world?

17
Q

Intention-to-treat analysis:

A
  • analyze patients/groups by original randomization regardless of what patient did.
  • preserves original randomization
  • will bias toward the null - we accept this to avoid type 1 error by other confounders.
18
Q

Explanatory (per protocol) analysis:

A
  • analyze only patients who completed protocol requirements.
19
Q

Superiority trial:

A
  • is one treatment better than the other?
20
Q

Equivalence trial:

A
  • is new treatment better or worse than the reference/current treatment?
    • both directions (better or worse)
    • uses inferiority margin
21
Q

Non-inferiority trial:

A
  • is new treatment not worse than reference/current treatment?
    • one direction (the same/better)
    • non-inferior treatments may be chosen when they have less side effects, are less invasive, easier to use, cheaper, etc.
    • uses inferiority margin
22
Q

Cluster RCT:

A
  • naturally occurring groups are randomized together as a unit
    • i.e. all patients in a single hospital get put into the same group
23
Q

Cross-over RCT:

A
  • each patient gets all the treatments in random order after a suitable wash-out period
24
Q

Number needed to treat (NNT) equation and table:

A
  • takes everyone into account
  • NNT = 1/ARR
25
Q

Absolute risk reduction equation and table:

A