1.1.2 Clinical Trials II Flashcards

1
Q

Why do you need to define what, when and how outcomes are to be measured before start of clinical trial?

A

To prevent:
Data dredging
Repeated analyses

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2
Q

What is a primary outcome?

A

Main goal of your study
Preferably only one
Used in sample size calculation

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3
Q

What is a secondary outcome?

A

Other outcomes of interest

Often includes occurrence of side effects

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4
Q

What are 3 different types of outcomes?

A

Patho-physiological e.g. tumour size, thyroxine level, other biomarkers

Clinically defined e.g. death (mortality), disease (morbiditiy) and disability

Patient-focused e.g. QoL,psychological and social well-being, satisfaction

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5
Q

What are the features of an ideal outcome?

Don’t learn all of them just a few examples

A
  • Appropriate and Relevant – to patient, clinician, society, etc.
  • Valid and Attributable – any observed effect can be
    reasonably linked to the treatments being compared
  • Sensitive and Specific – chosen method of measurement
    can detect changes accurately
  • Reliable and Robust – outcome measurable by different
    people in various settings → similar result
  • Simple and Sustainable – method of measurement is easily
    carried out repeatedly
  • Cheap and Timely – not excessively expensive to measure
    nor has a long lag time
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6
Q

When should measurements be taken?

A

Baseline measurement of relevant factors

Monitoring outcomes during trial, for possible effects and monitoring for adverse effects

Final measurement of outcomes, for final effect of treatments

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7
Q

What baseline data should be taken?

A

Age
Gender
Social class
Ethnicity
BMI
Co-morbidities
Occupational exposures

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8
Q

What is the placebo effect?

A

Therapy can be irrelevant to patients condition, patient’s attitude to illness and the illness itself may be improved by feeling that something is being done about it

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9
Q

What is a placebo?

A

Inert substance that appears identical in every way to active formulation e.g. appearance, taste, dosage, smell

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10
Q

What is the aim of a placebo?

A

Cancel out any placebo effect that may exist in active treatment

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11
Q

When can a placebo be used?

A

Only be used when no standard treatment available

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12
Q

What are the ethical issues with using placebos?

A

Form of deception
Therefore, it is essential participants are informed they may get a placebo

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13
Q

Why might you have losses to follow-up?

A

Clinical condition may mean they have to be removed from trial
(appropriate)

May choose to withdraw
(unfortunate)

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14
Q

How can losses to follow-up be minimised?

A

Make follow-up practical and minimise inconvenience

Be honest about commitment needed from participants

Avoid coercion or inducements but cant recompensate participants for time/trouble

Maintain contact

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15
Q

What are some causes of non-adherence with treatment?

A
  • May misunderstand instructions
  • May not like taking treatment
  • Could think treatment not working
  • May prefer another treatment
  • Can’t be bothered to take treatment
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16
Q

How can non-adherence be minimised?

A
  • Simplify instructions
  • Ask about adherence
  • Ask about effects and side-effects
  • Monitor adherence e.g. tablet count, urine and blood levels

Need to understand never possible to achieve 100% adherence

17
Q

What is an explanatory trial?

A

As treated analysis- those who did all of the follow ups and adhered

Compares physiological effects of treatments

Loses effects of randomisation

Non-adherers are likely to be systematically different from those adhering to treatment, selection bias and confounding

18
Q

What is a pragmatic trial?

A

Intention to treat
Analysis according to original allocation to treatment groups

Regardless of follow-up completion or adherence

Compares likely effects of using treatments in routine clinical practise

Preserves effects of randomisation, minimal selection bias and confounding

19
Q

‘As treated’ vs ‘Intention to treat’

A

As treated analyses tend to give larger sizes of effect

Intention to treat analyses tend to give smaller and more realistic sizes of effect

20
Q

How should clinical trials normally be analysed?

A

On an intention to treat basis

21
Q

What steps are involved in a randomised control trial?

A

– The disease of interest
– The treatments to be compared, is this ethical?
– The methods of group allocation and consideration of
blinding
– The patients eligible and excluded
– Baseline data collection
– Outcomes to be measured

22
Q

How is a randomised control trial set up?

A
  • Identify a source of eligible patients and invite
  • Obtain consent
  • Allocate participants to the treatments fairly, i.e.
    without bias or confounding (randomisation)
  • Follow-up participants in identical ways
  • Minimise losses to follow-up
  • Maximise adherence
23
Q

What should be asked when analysing outcomes of the a randomised control trial?

A

Is there an observed difference in outcome between treatment groups?

Could observed difference be due to chance

How bis is observed difference?

Is observed difference attributable to treatments compared?