INTRODUCTIO TO CLINICAL TRIALS Flashcards
WHAT IS A CLINICAL TRIAL?
- A SCIENTIFIC WAY OF TESTING A CLINICAL QUESTION
- CAN ASSESS: TRETAMENTS, SUPPORTIVE CARE, DEVICES, SCREEING PROGRAMMES, INFORMATION, DIAGNOSTIC TESTS, BIOMARKERS….. –> NEED TO COMPARE WITH CONTROL GROUP
- A FAIR, CONTROLLED (COMPARATIVE), REPRODUCIBLE EXPERIMENTAL STUDY
(ONE OF THE) FIRST REPORTED CLINICAL TRIAL(S)
- CONDUCTED BY JAMES LIND
- 1747: TOOK 12 PATIENTS WITH SCURVY AND SPLIT THEM INTO 6 GROUPS OF 2 PATIENTS: CYDER, ELIXER VITRIOL, VINEGAR, SEA WATER, ORGANES & LEMONS, NUTMEG
- THE PATIENTS WERE VERY SIMILAR IN EVERY OTHER WAY BUT THE FOOD THEY’VE BEEN CONSUMING
- THE MOST SUDDEN AND VISIBLE GOOD EFFECTS WERE PERCEIVED FROM THE ORANGES AND LEMONS GROUP (SCURVY = VIT C DEFICIT)
GOLD THERAPY FOR TUBERCULOSIS
- EXAMPLE OF AN EARLY CLINICAL TRIAL (LESSONS FORM HSITORY)
- POPULAR IN 1920s AND 1930s
- PETERS AND SHORT (1935) FOUND THAT CONTROLS HAD BETTER IMPROVEMENT
‘THE EXAMINATION OF OUR STATISTICS HAS BEEN A PAINFUL SHOCK, WE WERE CONVINCED TRETAMENT WAS VALUABLE; MANY OF THE CASES DID EXTREMELY WELL. BUT ONE TENDS TO FORGET MANY CASES PREVIOUSLY DID EXTREMELY WELL….’
VACCINE THERAPY CLINICAL TRIAL (LESSONS FROM HISTORY)
- VACCINE THERAPY WAS A POPULAR FORM OF TREATMENT IN EARLY 1990s FOR MANY CHRONIC INFLAMMATORY DISEASES
- HOWEVER, CONTROLLED TRIALS WERE UNABLE TO DEMONSTRATE VACCINE WAS BETTER THAN PLACEBO (E.G. RHEUMATOID ARTHRITIS, SIDEL AND ADAMS, 1940)
FUNDAMENTAL PRINCIPLES IN COMPARING TREATMENT GROUPS IN CLINICAL TRIALS
DIFFERENCES IN OUTCOMES BETWEEN GROUPS MAY BE DUE TO:
- TRUE TREATMENT EFFECT
- BIAS
- CHANCE
- GROUPS MUST BE ALIKE IN ALL IMPORTANT ASPECTS EXCEPT FOR THE TREATMENTS UNDER EVALUATION (POSIBEL BIAS)
- HAVE TO HAVE A LARGE ENOUGH SAMPLE (LIMIT CHANCE IMBALANCES)
DIFFERENCES IN OUTCOMES BETWEEN GROUPS IN CLINICAL TRIALS MAY BE DUE TO:
- TRUE TREATMENT EFFECT
- BIAS
- CHANCE
THE BEST WAY TO CREATE A CONTROL GROUP SIMILAR TO THE TREATMENT GROUP IN ALL RESPECTS (KNOWN AND UNKNOWN):
RANDOMISTION!!!!!!!!!!!!!
DESCRIBE THE RANDOMISED CLINICAL TRIALS
- THERAPIES ALLOCATED BY A CHANCE MECHANISM
- NEITHER PATIENT NOR PHYSICIAN KNOW IN ADVANCE WHICH THERAPY WILL BE ASSIGNED
- ELIMINATES SELECTION BIAS
- GIVES A BETTER CHANCE OF BALANCING PROGNOSTIC FACTORS BETWEEN GROUPS
- IS A FUNDAMENTAL BASIS FOR VALIDITY OF STATISTICAL TESTS
ADVANTAGES OF RANDOMISTION IN CLINICLA TRIALS
- ELIMINATES SELECTION BIAS
- GIVES A BETTER CHANCE OF BALANCING PROGNOSTIC FACTORS BETWEEN GROUPS
- IS A FUNDAMENTAL BASIS FOR VALIDITY OF STATISTICAL TESTS
1ST PROPERLY DESIGNED RANDOMLY CONTROLLED TRIAL
- SIR AUSTIN BRADFORD HILL
- 1948
- ASSESSING STREPTOMYCIN FOR TUBERCULOSIS IN 107 PATIENTS
CONTROL: BED REST ALONE (52 PATIENTS)
TRETAMENT: STRETPTOMYCIN (55 PATIENTS)
- SHOWED THAT TRETAMENT LEADS TO X RAY IMPROVEMETN AND REDUCED NUMBER OF DEATHS
CONTROLLED CLINICAL TRIAL AND RANDOMISED CLINICAL TRIAL DEFINITIONS
CCT IS A PROSPECTIVE!!! STUDY COMPARING EFFECT (S) AND VALUE OF AN INTERVENTION AGAINST A CONTROL IN HUMAN SUBJECTS
RCT IS CONTROLLED TRIAL WHERE THE THERAPIES ARE ALLOCATED BY A CHNCE MECHANISM
UNCONTROLLED CLINICAL TRIAL?
INVOLVES NO CONTROL GROUP
CLASSIFICATION OF CLINICAL TRIALS BY DESIGNS (FROM MOST RELIABLE TO LESS RELIABLE)
1) RANDOMISED CONTROLLED
2) CURRENT NON-RANDOMISED CONTROLLED
3) HISTORICAL CONTROLS
4) UNCONTROLLED
STATISTICAL INFERENCE?
We are often interested in understanding something that is unobserved in the wider population, this could be the average blood pressure in a population of pregnant women for example, or the true effect of a drug on pregnancy rate, or whether a new treatment perform better or worse than the standard treatment. In these situations we have to recognise that almost always we observe only one sample or do one experiment. If we took another sample or did another experiment, then the result would almost certainly vary. This means that there is uncertainty in our result, if we took another sample or did another experiment and based our conclusion solely on the observed sample data, we may even end up drawing a different conclusion!
The purpose of statistical inference is to estimate this sample to sample variation or uncertainty. Understanding how much our results may differ if we did the study again, or how uncertain our findings are, allows us to take this uncertainty into account when drawing conclusions. It allows us to provide a plausible range of values for the true value of something in the population, such as the mean, or size of an effect, and it allows us to make statements about whether our study provides evidence to reject a hypothesis.
THE PLACEBO EFFECT
EVEN IF THE THERAPY IS IRRELEVANT TO THE PATIENT’S CONDITION, THE PATIENT’S ATTITUDE TO HIS OR HER ILLNES, AND INDEED TH ILLNESS ITSELF, MAY BE IMPROVED BY A FEELING THAT SOMETHING IS BEING DONE ABOUT IT