Clinical Trial Design Flashcards

1
Q

Why are clinical trials important?

A

They provide evidence - practice is evidence based

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2
Q

What is defined as pre-clinical development?

A

Investigating animal pharmacology

Investigating animal toxicology

Tissue culture

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3
Q

How many phases are there to clinical trials?

A

Four

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4
Q

What is phase 1 of a clinical trial?

A

Clinical pharmacology in normal ‘healthy’ volunteers generating pharmacokinetic, metabolic and pharmacodynamic data.

100 subjects

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5
Q

What drugs are not seen in phase 1 in clinical trials?

A

Certain cytotoxic drugs - that cause harm to the individual

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6
Q

What happens in phase 2 of clinical trials?

A

Evidence of efficacy and identifies a likely dosage range

Confirms kinetics and dynamics

Involves up to 500 patients

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7
Q

What happens in phase 3 of clinical trials?

A

Evidence of safety

If the drug works for the condition we are testing

All data collected and used to request a license to sell the drug

1000-3000 patients

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8
Q

What is phase 4 of clinical development of a drug?

A

Post marketing surveillance to produce evidence of long term safety

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9
Q

How many people are involved in the stages of clinical trials?

A

Stage One: 100
Stage Two: Up to 500
Stage Three: 1000-3000

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10
Q

What is the purpose of a pilot study?

A

To test study design

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11
Q

What are the different methods of trials?

A

Double blind
Single blind
Prospective
Retrospective

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12
Q

What are the stages of a prospective clinical trial?

A

Design the study, recruit, then follow up

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13
Q

What is a retrospective clinical trial?

A

When data is collected from case records after treatment is given

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14
Q

What is a cross over study?

A

When patients receive both methods of treatment, one after the other with a cross over stage in the middle called a “wash out period” - removes all the old drug

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15
Q

What is the difference between a superiority VS a Non-inferiority trial?

A

Superiority - Shows that a new treatment is better then control (standard or placebo)

Non-inferiority - shows that the new treatment is not worse than the standard by much

Shows that the new treatment would have beaten a placebo arm

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16
Q

Who might you exclude from a clinical trial?

A

Pregnant women
Children
Seriously ill
Elderly
Patients at risk of side effects

17
Q

What is the purpose of statistical significance?

A

Helps quantify whether a result is likely due to chance or to some factor of interest that different subjects were exposed to

18
Q

What is the process of establishing statistical significance?

A

Mixing the data from both sets randomly to create a new range of mean values.

Repeated many times, you can determine how likely the chances are of experiencing a similar difference in measurements between the randomised mean values and the actual difference obtained.

19
Q

What P value indicated statistical significance?

A

A p-value less than 0.05 (typically ≤ 0.05) is statistically significant.

20
Q

What does a p-value of less than 0.05 mean?

A

It indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null is correct (and the results are random).

Therefore, we reject the null hypothesis, and accept the alternative hypothesis.

21
Q

What p-value is not statistically significant?

A

A p-value higher than 0.05 (> 0.05) is not statistically significant and indicates strong evidence for the null hypothesis.

This means we retain the null hypothesis and reject the alternative hypothesis.

22
Q

Can you accept a null hypothesis?

A

You cannot accept the null hypothesis, we can only reject the null or fail to reject it.

23
Q

What is a null hypothesis?

A

The null hypothesis of a test always predicts no effect or no relationship between variables.

24
Q

What is an alternative hypothesis?

A

The alternative hypothesis states your research prediction of an effect or relationship.