Clinical Trials Flashcards

1
Q

Randomization Purpose

A
  • Each patient has an equal chance to be allocated into any treatment group
  • Control for known and unknown cofounders: related to prognosis
  • Check if randomization worked to see if baseline characteristics are similar (Table 1)
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2
Q

Simple Randomization

A
  • Random number generator

- Flipping a coin

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3
Q

Block Randomization

A
  • Divide subjects into subgroups (“blocks”)
  • Subjects within blocks are then randomly assigned to treatment groups
  • Ensures equal number from each block into treatment groups
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4
Q

Stratified Randomization

A
  • Goal: assign all the other variables equally except for treatment
  • Create predefined strata based on the prognostic factors (age, severity, etc)
  • Final groups more balanced for cofounders
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5
Q

Allocation Concealment

A
  • No a priori knowledge of group assignment
  • The allocation sequence is concealed from those assigning participants to intervention groups until moment of assignment
  • Prevents selection bias
  • Prevents researchers from influencing which participants get which intervention
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6
Q

Blinding

A
  • Hiding who gets what
  • Minimize influence of pre-existing biases or expectations
  • Blind patients AND investigators if their responses have a possible subjective component
  • Blinding is more important as subjectivity increases
  • Prevents ascertainment/information bias
  • Not all studies are blinded or need to be blinded
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7
Q

Blinding Schemes

A
  • Open label: everybody knows who is getting what
  • Single-blind: either the patient or the investigator doesn’t know
  • Double-blind: both the patient and the investigator don’t know
  • Triple-blind: the patient, investigators, AND data analysts don’t know
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8
Q

Description of Blinding

A
  • Mechanism should be included
  • Similarity of treatment characteristics
  • Allocation schedule
  • How successful was the blinding (were people able to guess which group they were)
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9
Q

Intervention Information

A
  • Treatment
  • Dosing: is it similar to customary
  • Timing of efficacy assessment: given the amount of time needed to work
  • Formulation: comparable to commercial product
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10
Q

Selection of Control Groups

A
  • Placebo control
  • Active controls (standard of care)
  • Historical (external) controls
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11
Q

Placebo Control

A
  • Commonly thought to provide a comparison to “doing nothing”
  • Actually allows comparison with the act of drug administration
  • Inert resembles the active drug
  • Placebo therapeutic and adverse effects
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12
Q

Active Treatment Controls

A
  • Use when its inappropriate to withhold therapy
  • Permits comparison to established therapies
  • Is the established therapy the most appropriate and being used correctly (fair fight)
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13
Q

Double-Dummy

A
  • When treatments differ by route and dosing schedule
  • Used to compare single v.s. combination therapy
  • Groups: Dummy A + Drug B, Drug A + Drug B, Dummy A + Dummy B, Drug A + Dummy B
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14
Q

Active Treatment Control Clinical Trial Types

A
  • Superiority: is drug A better than B
  • Equivalence: is A just as good as B
  • Non-inferiority: is A no worse than B
  • The definitions of better, worse, etc. need to be defined in advance
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15
Q

Common RCT Study Designs

A
  • Parallel study design
  • Cross-over design: fewer subjects needed, includes washout period
  • Factorial randomized trials: multiple dose levels/regimens
  • Cluster randomization design: group of subjects is randomized
  • Stepped Wedge Cluster: random and sequential crossover of clusters from control to intervention until all clusters are exposed
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16
Q

Crossover Studies

A
  • Study patients should return to pre-treatment status between periods
  • Washout might be needed to dissipate treatment effects
  • Good news: half as many patients needed (serve as own control)
  • Bad news: twice as much time needed
17
Q

Result Interpretation

A
  • Were there important differences between eligible, recruited, and enrolled patients
  • Were the study groups similar at baseline (Table 1)
  • Identify confounders
  • Are the differences important
  • Caution: hard to find differences in baseline when groups are small
18
Q

Results: Loss

A
  • Are ALL patients accounted for including dropouts and dismissed patients
  • Difference in dropout rates/reasoning between the groups
  • 20% loss considered a threat to study validity
19
Q

Intention-to-treat

A
  • Analyzes individual patient outcomes according to group they were assigned
  • Regardless of whether they finished the trial or even received any drug
20
Q

Per-protocol

A
  • Analyzes the outcomes of individual patients who finished the trial
  • According to treatment they received regardless of what group they were assigned to
21
Q

Reporting Results

A
  • Outcomes reported the same as those in the objective
  • Miss any important outcomes
  • Components of composite also reported separately
  • How large was the treatment effect and if it was important
  • Results reported in actual or relative change
  • Survival analysis shows the development of the outcome over time
22
Q

Assessment of Adherence

A
  • Pill counts
  • Patient diaries
  • Serum or urin drug concentrations
  • Refill frequencies
  • Medication containers that record opening (MEMS)
23
Q

Descriptors of Risk

A
  • AR: Absolute Risk
  • RR: Relative Risk
  • RRR: Relative Risk Reduction
  • ARR: Absolute Risk Reduction (attributable risk or risk difference)
  • NNT: Number Needed To Treat
  • NNH: Number Needed to Harm
24
Q

AR

A
  • Probability of an event
  • Could represent incidence or prevalence
  • Incidence (exposed): Successful Treatment/Total Treatment
25
Q

RR

A
  • Risk in one group compared with the risk in another
  • AR (treatment)/AR (control)
  • _X greater relative risk of a positive outcome compared to control
26
Q

AAR

A
  • Difference in absolute risks
  • AR (treatment) - AR (control)
  • Receiving treatment prevented _% of treated patients from experiencing unsuccessful outcome
27
Q

NNT

A
  • Reciprocal of ARR
  • 1/ARR
  • About _ patients in this study had to receive treatment instead of control to avoid one adverse outcome

OR
-About one in _ patients will achieve successful outcome by using the treatment instead of the control

28
Q

NNH

A
  • How many people need to be treated in order for one person to have a particular adverse effect
  • EX: 1 of 138 had a particular AE, then NNH is 138