1.40 Trial Design Flashcards
Describe stages used in development + introduction new drugs to clinical practice
- Initial stages
- Pilot Study
- Phase 0
- Phase 1
- Initial stages
- 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
- Pilot Study
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
IRAS req info on
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
Phase 0
Animal studies id LD50 and LD95
Phase 1
- Drug admin small group
healthy volunteers - Aim ID pharm traits
- activity
- tolerance
- PK
- Safety - ID potential routes which admin
- Performed safe clin setting
subjects monitored s/e and desire response
Phase 2
- Drug admin to those w/ disease / condition
- Magnitude of hundreds
- Aim ID ED 50 and ED95
- Involve specialist in field - assess clin affect drug
Phase 3
- Only after satisfactory phase 2
- Extended clin trials
involving large - 000’s patients
multiple site
double blinded RCT (DBRCT) - Aim compare drug
vs gold standard tx
?superior / ?efficacy
Ensure all S/E + ADR occur at acceptable rate
Phase 4
- Post marketing analysis
- Often most adverse reactions detected
statical power by large number of admins - Adverse events recorded via yellow sheets in BNF
- No fixed duration
Type 1 error
False positive
Incorrectly rejecting Null hypothesis when true
states difference observed -
No diff
Determined by P value
Smaller P value - ↓ chance
Type 2 or B error
- False negative
- Incorrectly accepting null hypothesis when not true
- fails to observe difference when exists
- small sample size
Power
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
Importance high power study
↓ chance a and b errors
increase chance find results
detecting result if present
prevent unnecessary exposure to repeat trials