1.40 Trial Design Flashcards

1
Q

Describe stages used in development + introduction new drugs to clinical practice

A
  1. Initial stages
  2. Pilot Study
  3. Phase 0
  4. Phase 1
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2
Q
  1. Initial stages
A
  • Product design and development
  • lit review id previous data
    (may alter product - other sim research)
  • Involve market research
    id competing interest and suitability drug dev
  • Alter design product / trial / aim study
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3
Q
  1. Pilot Study
A

Pilot Study

1 meet w/. statistician
id numbers needed for adequate power and significance

2 ID hypothesis and how tested

3 Apply ethical approval
reg w/ IRAS

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4
Q

IRAS req info on

A

IRAS req info on
Study design method analysis

Logistical structures
Where trial will be conducted
who is involved

BG data results of lit review

Safety
possible risks and example of PIL used in Rx

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5
Q

Phase 0

A

Animal studies id LD50 and LD95

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6
Q

Phase 1

A
  1. Drug admin small group
    healthy volunteers
  2. Aim ID pharm traits
    - activity
    - tolerance
    - PK
    - Safety
  3. ID potential routes which admin
  4. Performed safe clin setting
    subjects monitored s/e and desire response
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7
Q

Phase 2

A
  1. Drug admin to those w/ disease / condition
  2. Magnitude of hundreds
  3. Aim ID ED 50 and ED95
  4. Involve specialist in field - assess clin affect drug
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8
Q

Phase 3

A
  1. Only after satisfactory phase 2
  2. Extended clin trials
    involving large - 000’s patients
    multiple site
    double blinded RCT (DBRCT)
  3. Aim compare drug
    vs gold standard tx
    ?superior / ?efficacy
    Ensure all S/E + ADR occur at acceptable rate
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9
Q

Phase 4

A
  1. Post marketing analysis
  2. Often most adverse reactions detected
    statical power by large number of admins
  3. Adverse events recorded via yellow sheets in BNF
  4. No fixed duration
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10
Q

Type 1 error

A

False positive

Incorrectly rejecting Null hypothesis when true
states difference observed -
No diff

Determined by P value

Smaller P value - ↓ chance

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11
Q

Type 2 or B error

A
  1. False negative
  2. Incorrectly accepting null hypothesis when not true
  3. fails to observe difference when exists
  4. small sample size
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12
Q

Power

A

Refers to ability study
reject false null hypothesis
Not make type 2 error

Power = 1
probability of type 2 B error = sensitivity

Routinely B is accepted as 0.2
20% chance null hypothesis being falsely accepted

Therefore power usually accepted at 80%

Power calculation performed initial stages

  • ID trial numbers reqd detect results
  • reduce chance type 2 error occur
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13
Q

Importance high power study

A

↓ chance a and b errors

increase chance find results

detecting result if present

prevent unnecessary exposure to repeat trials

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