L2 Clinical Trials Flashcards
Clinical trial
Planned experiment which involves patient’s and is designed to elucidate the most appropriate method of treatment for future patients with a given medical condition
Efficacy
Ability of an intervention to improve the health of a defined group under specific conditions
Aka effect
Safety
The ability of a health care intervention not to harm a defined group under specific conditions
Goals of clinical trial
Reproducible
Controlled - comparison of intervention
Fair - Unbias without confounding
Difference between efficacy and effectiveness
Effectiveness is the effect in real world clinical experience where as efficacy is in ideal condition
Stages in drug development and monitoring
Phase I
- volunteer studies
- assessing pharmacodynamics, pharmacokinetics and side effects
- healthy volunteers (controlled)
Phase II
- treatment studies
- effects and dosage - therapeutic window
- common side effects
- patients
Phase III
- clinical trials
- COMPARISON with standard treatment
- patients
Phase IV
- post marketing surveillance
- monitoring for adverse side effects
- potential for new uses
- whole population
Disadvantages of a non randomised clinical trial
Allocation bias - by patient, clinician or investigator
Confounding - known and unknown
Disadvantages of comparison with histological controls
Condition may have changed from the past
Population factors change with time
Different hospitals may have different protocols
Selection of histological controls are less rigorous
Histological controls were probably treated differently from new treatment group
Less information about potential bias of con founders
Steps involved in an RCT
- Definition of key study variables
- Clinical trial
- Compare outcomes
Defining the key variables
Define the:
- disease of interest
- patient eligible for the trial
- patients excluded from trial e.g. disease too advanced
- treatment to be compared
- outcomes to be measured e.g. adherence, hospital admission etc.
- possible bias or confounders
How to conduct a trial
Identify a source of eligible patients Invite those eligible Consent patients Allocate participants randomly Follow up patients Minimise losses to follow up Maximise adherence to treatments
Comparison of outcomes
Is there an observed difference
Statistically significant
Is the difference clinically significant
Was the design of the trial and conduct good
95% confidence interval
If the null hypothesis is within the 95% confidence interval, the results may be due to chance
P > 0.05
Therefore not statistically significant
Observed ratio of 0.87 meaning
Reduction of 13%
Sample size effect on confidence interval
Larger sample size, decreases the confidence interval
Why are outcomes predefined
Need to define what, when and how outcomes are measure before the clinical trial to:
- prevent repeated analyses
- define protocol for data collection
- agreed criteria for measurement and assessment of outcomes
Primary outcome
Most important outcome of interest e.g. mortality
Preferably 1 primary outcome
Used in the sample size calculation
Secondary outcomes
Other outcomes of interest
E.g. side effects or occurrence or quality of life