clinical trials Flashcards

(35 cards)

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
factorial RCT
test 2 drugs or 2 nutrients we can use same pop if: 1. outcomes are diff 2. mode of action are independent
26
FDA required clinical trials for new meds
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
clinical trials pros | clinical trials
best control over: amount of exposure timing and frequency of exposure period of observation randomization reduces likelihood that groups differ significantly
28
clinical trials cons | clinical trials
artificial setting limited scope of potential impact adherence is difficult to enforce ethical dilemmas
29
community trials
determine benefit of new policy and programs community is a defined unit
30
community trials design
community randomized overtime outcomes measured at baseline, then at follow-up
31
community trials pros
only way to directly estimate change in behavior or modifiable exposure on incidence of disease
32
community trials cons
inferior to clinical trials (worse control, monitoring, intervention delivery) less options to randomize (decreased comparability) affected by population dynamics, secular trends, nonintervention influences
33
type I error
probability = alpha we conclude treatments are different, but they really aren't
34
type II error
probability = beta we conclude treatments aren't different, but they are
35
number needed to treat (NNT)
NNT = 1 / (mortality rate in untreated - mortality rate in treated)