lecture 18 - critical appraisal I Flashcards

1
Q

describe phase 1 and 2 clinical trials

A

Phase 1 (first in humans)
typically 20 – 100 patients, several months to complete
health volunteers / paid participants
ADME and acute toxicity

Phase 2 (first in patients)
small scale treatment groups (RCTs)
typically 100 - 200 patients, up to a couple of years to complete
basic clinical effectiveness, ADME in patients

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2
Q

describe phase 3 clinical trials

A

Large-scale randomised controlled trials (RCTs)
Typically many 1,000 patients
Several years to complete
Basis of clinical usefulness
Detailed clinical effectiveness
Acute and chronic side-effects
Evidence for marketing licence

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3
Q

describe retrospective versus prospective studies

A

retrospective is select two or more groups with different outcomes and look into their past for different behaviours. always look without an intervention

prospective is set up 2 or more groups with different behaviours. monitor into the future to look for specific outcome,s groups can be chose for the behaviour (non-interventional) and behaviour can be imposed on a specific group.

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4
Q

what are the 6 types of clinical trial design ?

A

case studies - retrospective study individual patients in phase 1 or 2

case control studies retrospective study of groups of patients, phase 1 – 4, no intervention

Cohort study
prospective study of groups of patients, phase 3 – 4, no intervention

Randomised clinical trials
prospective study of groups assigned treatments, phase 3 – 4

Practice guideline/systematic review
review of published literature, phase 1 - 4

Meta-analysis
numerical combination of data from multiple phase 3 / 4 studies

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5
Q

what scalar continuous data ?

A

Indication of effect /side effect in each patient
based on a physical measurement

Can be physiological measures
weight, BMI, blood pressure, blood glucose
Can be rating-scale scores
pain index, depression index

Group data presented as mean (with confidence interval

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6
Q

what is binary (dichotomous) data

A

Binary (yes/no) response in each participant
a “responder” is someone who meets a predefine measure of outcome

Is a therapeutic/side-effect effect seen?
of at least a predefined magnitude (who determines this?)

Gives a simple measure of intervention outcome
the Responder Rate
simplifies comparison many different clinical trials

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7
Q

what does rr of 0.7 mean

A

An RR = 0.7 means that 70% of participants met the condition for being classed as a “responder”

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8
Q

what is confidence interval ?

A

Confidence interval (usually 95%)
“there is a 95% probability that the true population value, that I do not know precisely, lies within this stated range”
determined by sample size (larger sample, smaller confidence interval)

Standard error
less commonly quoted in clinical trials
more complex to understand
“a measure of the statistical accuracy of an estimate, equal to the standard deviation of the theoretical distribution of a large population of such estimates”

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9
Q

why does a statistical test fail?

A

There is no difference
there is no elephant-in-the-room
no amount of data will reveal its presence

The test was not rigorous enough
test based on insufficient data
causes the confidence interval to be too large
there is an elephant-in-the-room
you can’t see it, because you haven’t looked hard enough

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10
Q

what is the difference between statistical significance and clinical significance

A

Statistical significance
a purely mathematical concept
mathematical proof of a difference in a single outcome between two interventions
can be either “effect” or “side-effect”

Clinical significance
a medical, sociological, economic, moral, ethical concept
must be some statistically significant justification
depends on effect size, side-effects, cost and many other factors

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