10 januari: methodology Flashcards

1
Q

Methodology is related to which guidelines in ICH?

A

ICH E9

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q
Direction of ICH-E9.
.... Bias
..... Precision
...... Robustness of results  & conclusion
Fit: Maximize, minimize, evaluate
A

minimize bias, maximize precision, evaluate robustness

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Define bias and describe its possible sources.

A

The systematic tendency of any factors associated with the design, conduct, analysis, and evaluation of the results of a clinical to make the estimate of treatment effect deviate from its true value.

  • operational bias
  • statistical bias
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Provide an example of possible bias in the design of the trials.

A

Assignment of treatments such that subjects at lower risk are systematically assigned to one treatment

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Provide two examples of possible bias during the conduct of the trial.

A

1) exclusion of subject from analysis based upon knowledge of subject outcomes
e. g. when blind is broken, bias (can) occur and subject is excluded

2) How a doctor asks the patient how he/she feels also contains bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

How can you prevent measurement bias?

A

Having multiple investigational sites

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is robustness?

A

Sensitivity of the overall conclusions to various limitations of the data, assumptions, and analytic approaches to data analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is the golden standard for a clinical trial design (4)

A
  • Randomisation
  • blinding
  • trial design
  • control group
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Name and describe when you use a certain type of randomisation (5) (give advantage/disadvantage when possible).

A

1) simple: e.g. flip a coin. could lead to unequal distribution
2) blocked: e.g. predefined n for each group. Not per site, but in total. Could potentially have consequences for amount of IPs per site (e.g. measurement error in site A could impact results). Not in trials with low recruitment.
3) unequal: e.g. 2xn drug 1, 1xn placebo. Applied when it is unethical to give placebo.
4) stratified: define subgroups (e.g. gender, age), then block randomisation for each subgroup. Is time-consuming.
5) responsive adaptive (solution for simple). 1st patient>A, then 2nd patient 95% of B. If 2nd and 3rd patient>B, then 4th patient 66% of A, etc.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What type of bias does randomisation prevent?

A

Selection bias.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What type of bias does blinding prevent?

A

Measurement and response bias.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

In what phase do you use open label?

A

Dose ranging trials, pilot trials, when blinding is not possible (e.g. in surgery)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

When do you use single blind?

A

When laboratory values/AEs give away treatment/control. E.g. in case of carcino drug A with hair loss, and drug B without hair loss.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Explain how you would resolve problems when your comparator drug has another form/distribution method in comparison to IP.

A

Double dummy

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Explain difference between superiority and non-inferiority. When do you use each approach?

A

Superiority; in comparative to prove new treatment is better. non-inferiority; same results, but distribution method is less invasive, manufactoring is cheaper,

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Name and describe trial designs (5). When do you use each approach?

A

1) Parallel group. – variation between subjects
2) Paired design. within one subject, at one time (e.g. on left and right hand). not applicable for systematic interventions.
3) cross-over design. 1 subject: treatment A; cool-down period; treatment B.
4) factorial design: one subject, multiple treatments at the same design (e.g. HIV treatments with Beta blockers etc.) examine interaction between treatments.
5) prospective vs retrospective

17
Q

In which phase of CTs do you especially use the Golden Standard?

A

Phase III for MAA