Lecture 11 (RCTs) Flashcards
Treatment is:
- any intervention intended to improve the course of a disease after the disease is established.
Intervention is:
- an action intended to change the course of disease, ranging from prevention to palliative care at the end of life.
RCT definition/summary:
- prospective, interventional, gold standard
- treatment versus placebo — watch outcome
Necessary components of a RCT:
- inclusion/exclusion criteria
- stopping rules for clear evidence of harm, efficacy, and benefit
- informed consent
Stats of a RCT:
NNT, RR, AR, ARR
When NOT to run a RCT:
- Unnecessary: intervention to be test clearly already works
- Inappropriate (unethical)
- Impossible (to randomize and control exposure)
- Inadequate (not best study for question)
Effect of randomization:
- controls for confounding through equal distribution of confounders between groups
- larger the sample size, the better chance randomization decreases confounding
Stratification:
- stratify by a strong prognostic factor like age or location
- must occur prior to randomization
During the maintenance phase (time during intervention), patients may:
- Not have the disease of interest
- Not adhere to treatment
- Cross-over
- Co-intervention
Cross-over:
- when patients take the other group’s treatment during follow-up
- reduces observed treatment effect
Co-intervention:
- patients take other treatment besides the one being studied
- can be a problem if patients and physicians are not blinded
Four levels of blinding:
- allocation concealment
- single blind - patients
- single blind - physicians
- double blind - patients and physicians
Allocation concealment:
- clinicians and investigators who are entering subjects don’t know which group the patient will be in.
- Reduces selection bias.
Types of RCT outcomes:
- primary: main hypothesized outcomes
- secondary: too many may cause Type 1 error - multiple comparisons
- composite outcomes: evaluate each component of study
Efficacy definition:
does treatment work under ideal conditions?
Effectiveness definition:
does treatment work in the real world?
Intention-to-treat analysis:
- 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.
Explanatory (per protocol) analysis:
- analyze only patients who completed protocol requirements.
Superiority trial:
- is one treatment better than the other?
Equivalence trial:
- is new treatment better or worse than the reference/current treatment?
- both directions (better or worse)
- uses inferiority margin
Non-inferiority trial:
- 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
Cluster RCT:
- naturally occurring groups are randomized together as a unit
- i.e. all patients in a single hospital get put into the same group
Cross-over RCT:
- each patient gets all the treatments in random order after a suitable wash-out period
Number needed to treat (NNT) equation and table:
- takes everyone into account
- NNT = 1/ARR
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Absolute risk reduction equation and table:
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