clinical trials Flashcards

1
Q

case study or case series

A

no randomization
no comparison with untreated group
may provide info about side effects

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2
Q

studies with a comparison (4 types)

A
  1. historical controls
  2. simultaneous non-randomized controls
  3. randomization
  4. stratified randomization
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3
Q

historical controls

A

data used from comparison group from past
disadvantage: can be diff in base pop., disease rates, disease def, disease treamtnet, quality of data collected

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4
Q

simultaneous non-randomized controls

A

can be a problem if assignment system can be predicted
EX: patients on even day are treament group, odd are controls
may lead to more admittance on even days

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5
Q

intervention studies

A

test efficacy of preventive or therapeutic exposures
1. controlled clinical trials
2. community interventions

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6
Q

controlled clinical trial characterisitcs

A

outcomes in treated compared with outcomes in control
both enrolled, treated, followed over same time period

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7
Q

randomized controlled clinical trials characteristics

A

rigorous design, greatest control
randomized to intervention or control
double blind

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8
Q

start with

clinical trials

A

study pop
then randomize
then see if they improve or don’t improve

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9
Q

outcomes

clinical trials

A

endpoints
relative risk
hazard ratio
odds ratio from logistic regression

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10
Q

clinical trials pros

clinical trials

A

no selection bias
certain exposure, must monitor
compliance
gold standard

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11
Q

clinical trial cons

clinical trials

A

expensive
long
not generalizable
ethical issues

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12
Q

selection of subjects

clinical trials

A

clear critera written in advance
can impact generalizability

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13
Q

what does randomization help with?

clinical trials

A

decreases bias
establishes balance at baseline of confounders

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14
Q

randomization issues

clinical trials

A

intervention group could have more loss to follow up (ITT)
if 1 or more arm is noncompliant, it will underestimate effectiveness

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15
Q

goal of randomization

clinical trials

A

increase probability that there is an even distribution of observable and unobservable potential confounders between intervention and control

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16
Q

single blind

A

subject unaware

17
Q

double blind

A

subject and experimenter doesn’t know group assignment

18
Q

why use a placebo

A

placebo effect exists: rates vary 0 to 35%
helps control unplanned crossover
even with placebo, many assume they are on the treatment

19
Q

non-compliance

A

patients agree to randomization, but don’t comply with treatment

20
Q

intentio to treat (ITT)

clinical trials

A

good bc intervention effect is diluted by crossover
if we don’t use ITT we violate randomization and introduce confounding

21
Q

variables of interest

clinical trials

A

cumulative incidence

22
Q

to measure degree of assoication

clinical trials

A

risk ratio
rate ratio

23
Q

special RCT

A
  1. crossover
  2. factorial design
24
Q

crossover RCT

A

patients may request crossover
crossover may be planned so subjects can be their own control

25
Q

factorial RCT

A

test 2 drugs or 2 nutrients
we can use same pop if:
1. outcomes are diff
2. mode of action are independent

26
Q

FDA required clinical trials for new meds

A

phase 1: clinical pharmacology for toxicolog and efficacy
phase 2: clinical investigations for efficacy and safety
phase 3: large scale RCT for effectiveness and safety
phase 4: post marketing surveillance

27
Q

clinical trials pros

clinical trials

A

best control over:
amount of exposure
timing and frequency of exposure
period of observation

randomization reduces likelihood that groups differ significantly

28
Q

clinical trials cons

clinical trials

A

artificial setting
limited scope of potential impact
adherence is difficult to enforce
ethical dilemmas

29
Q

community trials

A

determine benefit of new policy and programs
community is a defined unit

30
Q

community trials design

A

community randomized overtime
outcomes measured at baseline, then at follow-up

31
Q

community trials pros

A

only way to directly estimate change in behavior or modifiable exposure on incidence of disease

32
Q

community trials cons

A

inferior to clinical trials (worse control, monitoring, intervention delivery)
less options to randomize (decreased comparability)
affected by population dynamics, secular trends, nonintervention influences

33
Q

type I error

A

probability = alpha
we conclude treatments are different, but they really aren’t

34
Q

type II error

A

probability = beta
we conclude treatments aren’t different, but they are

35
Q

number needed to treat (NNT)

A

NNT = 1 / (mortality rate in untreated - mortality rate in treated)