clinical trial design Flashcards

1
Q

uses of clinical study

A

to provide evidence
needed to test efficacy (strength/ability/how well something works)
needed to test safety (side effects etc)

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2
Q

basic considerations involved in trial design

A
time scale
end points 
choice of control drug
choice of patients 
exclusion criteria
drug used
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3
Q

choice of patients

A

age, race, compliance

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4
Q

choice of control drug

A
  • placebo- made to resemble drugs but do not contain an active drug
  • actual drug
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5
Q

end point

A

death, no. of hospital admissions, desired effect?

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6
Q

exclusion from a clinical trial criteria

A

Pregnant women
Children
Elderly
Seriously ill patients

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7
Q

Thalidomide

A

In the 1950s and the early 1960s, thalidomide was used to treat morning sickness during pregnancy.

It was found to cause severe birth defects. Now, thalidomide is being used to treat a skin condition and cancer.

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8
Q

Drug used

A

Formulation (Capsule, tablet? etc)
dose
frequency

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9
Q

Types of clinical trial

A
double blind
single blind
randomised 
placebo-controlled 
Parallel
Cross-over
Factorial
Cluster
retrospective
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10
Q

double blind trial

A

Neither the doctor nor the patient knows which of the drugs they are getting (The study drug or the control drug)

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11
Q

Single blind trial

A

The patient doesn’t know whether they are taking the study drug or control drug but the doctor does

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12
Q

Randomised

A

Patients are assigned to a group at random to prevent bias

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13
Q

Placebo controlled trial

A

in a group of 100 patients, 50 get placebo and the rest get the active drug and comparisons are made at the end

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14
Q

Parallel design

A

two groups of treatments, A and B, are given so that one group receives only A while another group receives only
then evaluation of outcomes occurs

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15
Q

Factorial design

A

test the effect of two or more treatments simultaneously using various combinations of the

  • simplest factorial design is known as a 2x2 factorial design
    participants are randomly allocated to one of four combinations of two interventions (A and B, say).
    A alone
    B alone
    both A and B
    neither A nor B (control) treatments

this increases the portion getting active treatment

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16
Q

crossover design

A
Randomisation
patient either gets A or B 
and the outcomes are evaluated 
then after the patients swap so the one on A tries B and vice versa
outcomes evaluated again
17
Q

Advantages of Cross-Over Designs

A

Address question of major interest
−Will this patient do better on drug A or drug B?
Removes “patient effect ie how that drug acts in that person”- thereby reducing variability and increasing precision of estimation
Opportunity to receive both treatments (or be assured of receiving active treatment at some point) is attractive to patients
Under assumption of no carryover effect, design provides more information than simple parallel design

18
Q

cluster

A

Groups or clusters randomly assigned, not individuals

− Examples: villages, classrooms, platoons

19
Q

Phases of clinical trials

A

Phase I, II, III and IV

20
Q

Phase I

A

Determine optimal or tolerable dose

Describe adverse event or PK profile (the drugs’ rates of absorption, distribution, metabolism and excretion)

Establish feasibility of treatment approach

21
Q

study hypothesis

A

study objective corresponds to the primary hypothesis of the study, e.g., the null hypothesis, H0

22
Q

what is a therapeutic trial designed to do?

A

show how large the drug’s therapeutic effect is

23
Q

What is a pilot study

A

a small scale preliminary study conducted in order to evaluate feasibility, time, cost, adverse events, and improve upon the study design before launching a full-scale research project

24
Q

prospective trial?

A

watches for outcomes, such as the development of a disease, during the study period
usually involves taking a cohort of subjects and watching them over a long period to see how things develop

25
Q

clinical significance is a subjective decision

A

The decision will depend on which disease process or condition is being studied, how many people are affected by the condition, etc

26
Q

statistical significance

A

the likelihood that a research result is true and not just mere chance
a bigger sample size can help this
if you have statistical significance this is not always an indicator of clinical significance