Randomised Controlled Trials Flashcards
What are the 4 phases of drug development?
1) 20 to 100 people to test for safety
2) 100-500 to check efficacy and surrogate end points
3) 1000-5000 for effectiveness and safety evidence
4) real world studies
What categories can define eligibility?
It’s important to define eligibility for participants like conditions, age, sex and severity of illness
What should the outcomes of an assessment be defined as?
Death Disease Recurrence Disability Distress Discomfort
What is important to remember regarding ethical approval?
You must have informed consent
Explain purpose randomisation
Alternative treatments
And can withdraw at any time
What are MAMS?
They are multi arm multi stage controlled trials which allow simultaneous assessment of a number of treatments
What are adaptive trials?
They are ongoing where changes and decisions are made while the trial is ongoing
What is a false positive?
Rejection of a true null hypothesis
What is a false negative?
Non-rejection of a false null hypothesis
What is a true positive?
When the machine learning model predicts the condition correctly
What is a true negative?
When machine learning model correctly predicts the negative condition
What are the problems and solutions regarding recruitment?
Problems - eligibility criteria too restrictive, eligible patients not identified or invited
Solutions - increase recruitment sites, ensure criteria is appropriate, accurately estimate numbers of patients, ensure eligible patients are identified
Intention to treat analysis?
All individuals who were randomised should be included in the analysis and they’re analysed scored to allocated treatment and not treatment received
Avoids bias
What is absolute and relative risk?
ARR = risk in control - risk in intervention RRR = (risk in control - risk in intervention)/risk in control
How to calculate number needed to treat?
NNT = 1/ARR
What are the 5 domains of bias risk?
Bias arising from randomisation process Bias due to deviations from intended interventions Bias due to missing some data Bias in measurement of the outcome Bias in selection of the reported result