Week 8: RTCs Flashcards

(35 cards)

1
Q

what is an RCT

A

An experimental study where participants are randomly assigned to one or more intervention
groups or a control group.
* Designed to test whether an intervention causes a change in outcomes

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2
Q

why are RTCs gold standard

A

Highest internal validity for determining causality.
* Minimizes bias through careful design

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3
Q

types of RCTs by intervention goal

A

By intervention goal
* Efficacy: Can it work under ideal
conditions?
* Effectiveness: Does it work in real-
world settings?
* Superiority: Test if one intervention
is better than another.
* Equivalence/Non-inferiority: Test if
interventions are similar.

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4
Q

types of RTCs by how the intervention is delivered

A

Parallel: Groups receive different
interventions simultaneously.

  • Crossover: Participants receive
    multiple interventions in sequence.
  • Factorial: Tests multiple
    interventions in combination.
    Randomized controlled trials
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5
Q

parallel RCTs

A

Most common (~80% of RCTs).

  • Participants randomized to one of two or more arms.
  • Groups receive different interventions throughout the study.
  • Suitable for long-term or permanent effects.
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6
Q

cross over trial

A

Participants receive multiple interventions in sequence.
* Includes a washout period to minimize carryover effects.
* Each participant serves as their own control.
* Best for short-term, reversible effect

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7
Q

factorial design

A

Participants randomized to combinations of two (or more) interventions and controls.
* Creates multiple groups (e.g., A only, B only, A+B, neither).
* Efficient for studying effects and interactions simultaneously.
* Less common design.

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8
Q

core design elements: intervention and control groups

A

well defined and comparable

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9
Q

core design elements: allocation method

A

randomization with allocation concealment

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10
Q

core design elements: outcome measurement

A

valid, reliable, and blinded assessment

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11
Q

core design elements: follow up

A

minimize loss to follow up, minimizes bias

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12
Q

core design elements: blinding

A

participants, providers, accessors - minimizes bias to allocation of intervention

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13
Q

core design elements: data analysis

A

have a pre-specified plan

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14
Q

The effects of an exposure can only be judged in comparison to what would
happen ___

A

in its absence

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15
Q

randomization

A

Allocation to treatment groups by chance,
avoiding predictability
* Equal probability for each participant to be
assigned to any group

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15
Q

Purpose of randomization

A

Prevent allocation bias

Achieve comparability between groups
(though not guaranteed)

Balance potential confounders

Ensure differences at trial completion are due to the intervention or chance

16
Q

effect of randomization on confounders

A

Balances both measured and
unmeasured confounders

If randomization is correct, chance is
the intervention is the only explanation for observed
differences

17
Q

units of randomization

A

Individuals
Health providers
Communities

18
Q

two steps of intervention allocation

A
  1. generate the allocation sequence -> anyone has the same chance of getting into any one of the groups (randomization)
  2. conceal the allocation -> shields upcoming assignments from investigators/patients (could bias allocation of following people)
19
Q

why concealment matters

A

Prevents manipulation of who gets the next assignment.

Ensures groups remain comparable.

More critical than randomization alone in avoiding bias.

20
Q

Ways to generate allocation sequence

A

Simple randomization (flip a coin, table of random numbers, computer generated) -> doesn’t ensure balance in small trials

Restricted (Permuted) Block Randomization
-participants randomized in small blocks by fixing a ratio in each block

21
Q

ways to conceal allocation

A

Methods:
* Sequentially numbered opaque sealed envelopes (SNOSE)
* Central randomization service
* Pharmacy-controlled allocation
* Always feasible in RCTs (unlike blinding).

22
Q

Allocation Concealment vs. Blinding

A

Allocation Concealment
* Hides upcoming assignments during enrollment
* Prevents selection bias before
participant entry

Blinding
* Masks group assignment after
allocation
* Prevents measurement and
performance bias during trial
Randomized controlled trials

23
Q

data analysis: Intention to treat (ITT)

A

Analyze as randomized
participants are included in their originally assigned
groups, regardless of compliance or protocol deviations.
Maintains benefits of randomization

24
data analysis: per protocol
Include only participants who fully adhered to the study protocol. Reflects efficacy under ideal conditions
25
data analysis
Analyze participants based on the intervention they received, even if different from their assignment. Reflects real-world practice but may introduce bias
26
Case definitions:
Use uniform, valid, and pre- specified criteria for outcome ascertainment to ensure consistency.
27
Follow-up:
Systematically monitor participants over time to detect when outcomes occur.
28
Outcome measurement:
Apply the same procedures to all groups to avoid differential misclassification
29
Meta-Analysis:
Statistical technique to combine results from ≥2 studies to produce a pooled quantitative estimate of effect Not all systematic reviews include a meta-analysis
29
Systematic Review:
Structured process to identify, appraise, and synthesize all relevant studies on a topic using explicit, reproducible methods
30
Q: What framework is commonly used to structure a systematic review question?
A: PICOS — Population, Intervention, Comparator, Outcomes, Study designs.
31
Q: How many reviewers must screen studies in an SR?
A: At least two independent reviewers for both title/abstract and full-text stages.
32
Q: Why is risk-of-bias appraisal critical in SRs?
A: It evaluates how well included studies minimize bias and ensures valid conclusions.
33
What is narrative synthesis?
A: A qualitative summary describing patterns, results, and characteristics of included studies.