L8 - clinical trial and study design Flashcards
What do clinical trial investigate?
Mostly treatment options and treatment efficacy
What are the advantages of clinical trials over observational studies?
Reduce effects of small sample size, recall bias, lack of impartiality, cause/association, patient selection bias, confounding, lack of precision
Define bias
A systematic error in design, conduct, analysis of a study which produces an incorrect estimate of a treatment effect/an exposure’s effect on an outcome
Define confounding
When a variable/factor is related to both the study variable and the outcome, so the effect of the study variable on the outcome is distorted
What is a clinical trial?
A planned experiment in humans designed to measure the effectiveness of an intervention: a new drug, a surgical procedure, vaccine, complementary therapy
What are the main features of a clinical trial?
Define intervention, define comparator, define inclusion/exclusion criteria, randomise the source population into control and intervention groups
How to combat selection bias and imbalance between the control and intervention groups in an RCT?
Computer generated random numbers, block randomisation, stratification, minimisation adaptive stratification
How could measurement bias be reduced?
Blinding, clear endpoint selection, minimise loss to follow up, record side effects of the treatment in all patients, take note of the intention to treat and whether the treatment is tolerable
What are the phases of clinical trials?
1,2,3,4
What occurs in the stage 1 trials?
Testing safety, small number of people, healthy volunteers
What occurs in stage 2 trials?
Testing efficacy, continue to look at safety, hundreds/10s of people with the condition
What occurs in stage 3 trials?
Comparison with current standard of care/placebo, looks at how well the treatment works in real life (effectiveness), monitors side effects, several thousand patients
What and when do stage 4 trials occur?
After drug has been marketed
Measures side effects in various populations, identifies even rare side effects
What should length of follow up be?
Long-term
How do you judge whether the sample size is large enough?
Prospective power calculations: a=0.05, chance of obtaining a false positive (T1 error) and b = 0.1-0.2 chance of obtaining a false negative (T2 error)