Lecture 2- Clinical trials Flashcards
what is a clinical trial
- Involves testing a new treatment compared to standard treatment and measuring outcomes overtime
- Comparison
Purpose of a clinical trial
To provide reliable evidence of treatment efficacy and safety
- Efficacy= the ability of a health care intervention to improve the health of a defined group under specific conditions
- Safety= the ability of a heath care intervention not to harm a defined group under specific conditions
clinical trials need to be
- reproducible controlled and fair
Stages of drug development and monitoring
- 4 phases
- Clinical trials = phase 3
- Phase 4= whole population (post marketing surveillance)
- Monitoring for adverse events
Who should take part?
- Inclusion criteria
- Exclusion criteria
These criteria then relate to the generalisability of any findings we have
Considering outcomes measures for CTs
Reasons for pre-defining outcomes
- Need to define what when and how outcomes are to be measured before starting clinical trial
- Prevent data dredging, repeated analyses
- Have a clear protocol for data collection
- Agreed criteria for measurement and assessment of outcomes
Primary outcomes vs secondary outcomes
Types of outcome
Timing of measurement
Features of an ideal outcome
How can we demonstrate two groups are equivalent… for a fair trial
- Collect baseline data on characteristics we think may relates to both the condition and the outcomes we are investigating
- E.g. if doing a CVD study would be important to have an equal number of smokers in each arm of trial
Ethics of trials
- Trials of new drug may do no harm
- Should only conduct a trial if you are genuinely in clinical equipoise and don’t know what is best treatment for pts
- Patients/participants must understand what participation involves (inc. known and unknown risks)
order to be able to give a fair comparison of effect and safety, a clinical trial needs to be:
- Reproducible- in experimental conditions
- Controlled- comparison of intervention
- Fair- unbiased without confounding
Clinical trials are subject to ….. ……–> differences observed in small trials (less than 1,000) are more prone to chance)
random variation
Non-randomised clinical trials
- Involve the allocation of pts receiving a new treatment to compare with a group of pts receiving the standard treatment
- BUT
- Allocation bias- by pt, clinician or investigator
- Confounding- known and unknown
- Non random allocation
- Allocation of pts to treatments by a person, historical basis, geographical location, convenience, numerical order etc
- Confounding factors (e.g. starting health or ethnicity in two different areas e.g. Leicester and Bath) unwittingly cause unidentified differences between the treatment groups being compared
Comparison with historical controls
- Comparison with historical controls involves the comparison of a group of patients who had the standard treatment with a group patients receiving a new treatment
- BUT for standard treatment group:
- Selection often less well defined, less rigorous
- Treated diff from new treatment group
- There may be less info about potential bias/confounders
- Unable to control for confounders
Randomisation
Allocate participants to the treatments fairly
- Should use ‘concealed allocation’ i.e. no possibility of predicting allocation of next patient (randomisation should be prepared by someone who is not entering pt and should be done at a distance)
- Prevents: selection bias
- Ensures: that we have 2 similar groups to minimise confounding
what does randomisation ensure