Course Name: MEDC0014
Session Title: Fundamentals of Clinical Trials
Instructors: Jemima Thompson & Hannah Plant
Date: 25-Feb-2025
Institutions: UCL
Team Members: Jemima Thompson, Hannah Plant, Giulia Pelizzari
Recognize, define, and distinguish between different types of clinical studies
Interventional Studies
Observational Studies
Define the phases of clinical trials and understand the aims of each phase
Describe the fundamental principles of clinical trials
Two Main Categories:
Interventional Studies: Involves testing an intervention on participants.
Observational Studies: Involves monitoring participants without intervention.
Research that uses human volunteers aimed at adding to medical knowledge.
Main Types:
Interventional Studies: Investigates the effect of an investigative treatment.
Observational Studies: Observes outcomes without manipulation.
Definition: Tests if an intervention affects an outcome.
Example: Administering beta-blockers to see if it reduces blood pressure.
Focuses on health-related events as outcomes.
Definition: Observes the course of a disease or relationships between risk factors and outcomes without intervention.
Example: Investigating how lifestyles affect blood pressure in older adults.
Levels of Evidence (from highest to lowest):
Meta-analysis & Systematic Reviews
Randomized Controlled Trials (RCT)
Cohort Studies
Case-Control Studies
Case Series, Case Reports
Editorials, Expert Opinion
Cross-sectional Studies: Snapshot of a population.
Cohort Studies: Follow subjects over time based on exposures.
Case-Control Studies: Compare cases and controls based on outcomes.
Ecological Studies: Measure variables at a group level to study correlations.
Aim: Describe population regarding outcome and risk factors.
Typically carried out via surveys to gather prevalence information.
Definition: Study subjects over time, comparing outcomes based on exposure.
Selection based on characteristics relevant to the condition being studied.
Definition: Compares a group with an outcome to a group without.
Example: Investigating tobacco smoking's relationship with lung cancer.
Measures variables at the group level to analyze relationships between exposures and outcomes.
Example: Variance in treatment patterns across populations.
A type of interventional study involving human participants aimed at evaluating interventions.
Must undergo rigorous testing through phases post-laboratory and animal studies to determine safety and efficacy.
Considered the gold standard for intervention evaluation.
Randomization: Keys to mitigate selection bias by randomly assigning participants to groups.
Definition: A tendency to deviate from the true value in estimates.
Affects objective analysis and can lead to under or overestimation of effects.
Phases involve:
Phase I: Initial safety on <100 healthy volunteers.
Phase II: Tests on a larger group (100-500) for safety and activity.
Phase III: Efficacy and safety assessed on 1000s of patients for regulatory approval.
Phase IV: Post-marketing studies to find long-term effects in various populations.
Inclusion of a control group for comparison.
Randomization and blinding (when appropriate) to minimize bias.
Adequate sample size to detect meaningful differences.
Participants not receiving the treatment serve as a baseline to evaluate treatment effectiveness.
Allocates treatment randomly to avoid bias from systematic differences.
Definition: Patients and/or evaluators unaware of treatment assignments.
Aims to minimize bias in evaluation.
Sufficient size enhances statistical power to detect differences.
Ethical implications if too large or insufficiently powered.
Can find new treatments/strategies that improve outcomes or reveal no benefits or harm.
Essential for evidence-based practice in healthcare to avoid ineffective or harmful treatments.
Overview of topics for sessions 2-10, including outcome measures, ethics, and effective management of trials.
Formative Assessment: Multiple-choice questionnaire due March 11, 2025.
Summative Assessment: Combines MCQ and group presentation due May 20/22, 2025.
Strive for 100% attendance.
Engage actively in discussions and question sessions.
Utilize discussion forums on the module Moodle page for peer support.
Direct inquiries to instructors via email for unsolved issues.