Clinical Trials of Treatments For Heart Disease Flashcards

1
Q

Define intervention

A

allocation of participants to treatment or control group (untreated,standard therapy,placebo)

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2
Q

What is an intervention study?

A

experiment where an intervention is
administered to evaluate its efficacy + safety by observing/measuring how participants respond
aka experimental study/clinical trial RCT

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3
Q

Define random allocation/randomisation

A

individuals allocated randomly to each treatment/control group + assignment of patients to group is independent of allocation of other patients

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4
Q

Why random allocation?

A

Avoids allocation bias

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5
Q

What’s the difference in health outcomes between

intervention + control groups is attributed to?

A

Intervention

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6
Q

What’s the placebo effect?

A

cure/alleviation of symptoms after an intervention which patient believes to be effective against the ailment but completely
neutral (sugar pill), effects based on
person’s own self-healing
capacity, which’s triggered by belief that they’re receiving active medication

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7
Q

Why do blinding in intervention studies?

A

Prior expectations of trial participant or observer may influence results

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8
Q

Diff between double vs single blind?

A

double: neither patient + observers / researchers know which group
patient allocated
single: either patient
or observers don’t know which group patient allocated

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9
Q

What’s parallel group?

A

Who’s eligible to participate in trial must be clearly defined, treatment + control groups only take 1 treatment then assess outcome (n)

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10
Q

What’s cross-over study?

A

Treatment + control swap then assess outcome

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11
Q

Describe eg of contingency table

A

Treatment vs placebo death YES/NO to find if no association
(placebo/total)xYES death
equal to
(treatment/total)xYES death

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12
Q

What are the features of Chi squared test?

A

Test compares O+E
(under Ho) counts between groups
• 2 categorical variables
• Each variable has 2 or more levels
• Data tabulated in contingency table as counts of individuals by level of each variable
• Validity: 80% expected frequencies > 5 and all > 1
• Gives P-value

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