LECTURE 10: DOSE-FINDING STUDIES Flashcards

1
Q

Why can’t we just use a dose-response curve?

A
  • Population-based PD curves for when the effect is binary (not continuous)
    o i.e. did convulsions occur? did death occur? was treatment successful?
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2
Q

We Want to Investigate a Novel Drug to See Whether it is Safe and Effective – What effects to look for

A
  • quantifiable: such as BGC versus hospitalisation for diabetes drug
  • surrogate markers
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3
Q

Drug discovery

A
  • molecule-centred design
  • randomly screen large libraries of molecules prepared by medicinal chemists
  • target-centred design
  • identify the drug target and medicinal chemists synthesis candidate drug molecules
  • “me too” drug design
  • variations of existing drug molecules
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4
Q

Pre human testing steps

A
  • in vitro testing: assays to test mechanism, affinity, enzymes, toxicity, lipophilicity, metabolism
  • animal testing - drug toxicity
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5
Q

phase I drug studies

A
  • 10-100 people
  • healthy or focus health condition
  • goal to determine PK and toxic drug concentrations
  • clinical pharmacologists and research centers
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6
Q

phase II drug studies

A
  • 100-200
  • with target disease
  • proof of concept: -, +, experimental group…
  • done by unis
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7
Q

success rate from phase II to III

A

30%

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8
Q

phase III studies

A
  • thousands
  • safety and efficacy at intended dose
  • clinical specifialists for 3-5 years
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9
Q

success rate from phase III to market

A

25-50%

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10
Q

Ways to to drug testing more cheap

A
  • parallel study design
  • cross over study design
  • continueal reassesment method (CRM)
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11
Q

parallel study design

A

different groups - low, medium, high dose, placebo, a drug in market…

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12
Q

advantage of parallel study deisgn

A

simple to design and implement

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13
Q

disadvantages of parallel study design

A
  • Each subject only receives one dosing regimen, therefore only get population average dose – not a dose-response curve for each individual (which can’t get if have binary outcome measure i.e. cured or not)
  • Unlikely to determine the optimal dose – the dose selected has to be one of the doses trialled
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14
Q

cross over study design

A

everyone gets placebo and drug at different times

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15
Q

cross over study designs are only suitable for what type of response

A

continues - such as heart rates or urine output

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16
Q

continual reassessment method

A

administer -> assess reponse -> choose new dose… etc.