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Experimental Studies

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Title: Experimental Studies


1
Experimental Studies
  • Dr Amna Rehana Siddiqui
  • Assistant Professor
  • Department of Community and Family Medicine

2
Learning Objectives
  • To understand
  • What are experimental studies?
  • The value of clinical trials
  • The basic methodology of RCTs
  • Advantages and disadvantages of RCTs

3
Types of Study Designs
Design Study Type
Case report Observational - Descriptive
Case series Observational - Descriptive
Cross sectional Observational - Descriptive/Analytic
Case control Observational - Analytic
Cohort Observational - Analytic
Clinical trial Experimental - Analytic
4
Intervention studies
  • Intervention studies are similar in approach to
    cohort studies except that the investigator
    directly control exposure.
  • Similar to laboratory experiments except living
    populations are the subjects
  • They are the ultimate step in testing causal
    hypotheses.

5
Defined population
NON-randomized
EXPOSED
NOT EXPOSED
DO NOT DEVELOP DISEASE
DO NOT DEVELOP DISEASE
Designs of a COHORT Study
6
Defined population
Randomized
NOT EXPOSED instead to PLACEBO
EXPOSED to Drug or New therapy
Without Outcome
Without Outcome
Design of a Clinical Trial
7
What are Clinical Trials ?
  • A clinical trial is an organized research study
    designed to investigate new methods of
  • preventing,
  • detecting,
  • diagnosing, or
  • treating an illness or disease
  • Modification of natural history of disease
  • New approaches to treatment and interventions
  • to determine whether a new method of treatment is
    superior to the standard (currently approved)
    treatment of the ailment.
  • In some instances, clinical trials attempt to
    improve a patients quality of life

8
Why Clinical Trials are Important
  • New treatments - pharmaceutical agents, devices,
    surgical procedures - are being developed every
    day.
  • Before an intervention becomes standard
    practice, assessment of its efficacy and safety
    in comparison to standard therapy should be
    undertaken.

9
Why are They Important?
  • To determine whether a new method of treatment is
    superior to the standard (currently approved)
    treatment of the ailment.
  • Clinical trials are extremely important in
    discovering new techniques to fight disease. For
    example, many of the advances in breast cancer
    detection and
  • treatment resulted from clinical trials.
    These advances include
  • screening mammography
  • use of chemotherapy before or after breast
    surgery,
  • use of radiation after lumpectomy, and
  • cancer treatment drugs (tamoxifen, Herceptin,
    etc.)

10
Size of Tumors Found by Mammography and Breast Self-Exam Size of Tumors Found by Mammography and Breast Self-Exam
             Average-size lump detected with routine mammogram (0.43 inches / 1.1 cm)
              Average-size lump detected with first mammogram (0.59 inches / 1.5 cm)
                    Average-size lump found by regularly practicing breast self-exam (0.83 inches / 2.1 cm)
                               Average-size lump found accidentally (1.42 inches / 3.6 cm
11
  • Types of Experimental studies
  • Preventive trials e.g. Vaccine or any procedure
    that reduces the risk of development of a
    particular disease.
  • 2. Therapeutic trials to diminish symptoms,
    prevent recurrence, or decrease risk of death
    from that disease.
  • Incidence rate of outcome is compared
    among those who received the new therapy/vaccine
    (exposed) and those who received the placebo
    (non-exposed).

12
Phases of testing new agent
  • Pre-clinical trials in animals and lab.
  • Testing drugs in human

13
Pre-clinical trials
  • Before clinical trials of any medication in human
    subjects are undertaken, considerable research in
    experimental animals is essential.
  • It includes pharmacological and toxicological
    studies.
  • Aims
  • to establish that the new agent is effective and
    may be suitable for human use.
  • to estimate roughly the dose to be used in man.

14
Testing drugs in human
  • Clinical trials of new agents in human pass
    through 4 phases
  • Phase I Aims
  • to find a safe tolerated dose in man
  • to test effects on body functions under close
    supervision.
  • It is carried out on (20 to 25) of healthy
    volunteers
  • They receive small doses of new drugs
  • This phase is of short duration (one or two
    months)
  • It is performed by clinical pharmacologists.

15
  • Phase II
  • It is carried out on 20 200 patients with
    relevant disease
  • It lasts longer than Phase I trials (6 months to
    2 years)
  • The purpose of Phase II is
  • to assess therapeutic benefits adverse
    reactions of the drug
  • To establish a dose range and to investigate its
    side effects.

16
  • Phase III (The classical phase)
  • Large scale, Randomised, Controlled Trials
    (RCTs)
  • Target population 250 1000 patients
  • Performed by Clinicians in multi-centric
    hospitals.
  • The purpose of this phase is to
  • assess the efficacy and safety.
  • reduce the side effects improve the quality of
    life.
  • Results from Phase III trials are used to
    evaluate whether a new product or device should
    be licensed for general public use.

17
  • Phase IV (Post marketing Surveillance)
  • It is a trial in normal field conditions when the
    drug is already available by prescription in the
    market.
  • The purpose of the Phase IV trial is to assess
  • Effectiveness under actual field conditions
  • Safety acceptability
  • Long-term side effects.
  • Rare adverse reactions and
  • Drug interactions

18
Design of Randomized Clinical Trials (RCTs)
  • The first step is to identify the reference
    population (the target population).
  • The reference population is the population to
    which generalizations of the results of the
    experiment apply.
  • Second, Selection of a study population after
    defining inclusion/exclusion criteria.
  • The inclusion criteria identify the target group
    or subgroup that will enter the study
  • The exclusion criteria are chosen to minimize
    potential dangers (e.g. elderly patients,
    pregnant women, children)

19
Defined population
Consenters
Randomized
NOT EXPOSED instead to PLACEBO
EXPOSED to Drug or New therapy
WITHOUT OUTCOME
WITHOUT OUTCOME
Design of a Clinical Trial
20
  • Getting informed consent from the participants
    before they are subjected to experiments.
  • Random allocation of subjects to the experiment
    and control groups,
  • Follow up for a specified period of time under
    strict conditions
  • The outcome of the experiment is carefully
    measured.
  • The outcome may be a cure, recurrence of the
    disease, survival, relief of pain, or reduction
    in blood pressure, etc.
  • The outcome measures are compared between the
    groups using appropriate statistical methods.

21
Defined population
Consenters
Randomized
Standard Therapy / PLACEBO
EXPOSED to Drug or New therapy
WITHOUT OUTCOME
WITHOUT OUTCOME
Design of a Clinical Trial
22
Random allocation
  • Random allocation is the method of assigning
    patients to treatment groups.
  • Each subject has an equal chance of being
    assigned to any group in the study
  • All groups in a study are similar in all
    characteristics
  • It avoids selection bias on the part of the
    investigator or the patient.

23
Baseline characteristics of patients in Placebo
and Pravastatin groups (NEJM 1996)
  • Characteristic Placebo Pravastatin
  • Mean Age (yrs) 59 9 59 9
  • Male Sex () 86 86
  • Race White () 92 93
  • Current Smoker () 21 21
  • Hypertension () 34 34
  • Diabetes Mellitus () 15 14
  • Body Mass Index (Mean) 28 4 28 4
  • Angina () 20 21
  • Medication Aspirin () 83 83
  • Oral Hypoglycemic agent () 7
    5

24
Original Table Shown For Your Interest
25
  • Value of Randomization
  • Successful randomization tends to create
    comparison groups that are similar in terms of
    both known and unknown factors that may be
    related to outcome
  • (e.g. gender, age group, disease stage, or
    other prognostic factor).

26
Masking or "blinding"
  • It is a method of concealing (hiding) knowledge
    of treatment assignment to reduce bias in
    measuring outcome.
  • A Single masked study subjects are unaware of
    whether they are in the experimental or control
    group study.
  • A Double masked study the subject and the
    observer are unaware of the subjects group
    allocation.
  • A Triple masked study the subject, observer and
    data analyst are unaware of the subjects group
    allocation.

27
Methods of Blinding
  • Masking is achieved by ensuring that all
    treatments appear identical (form shape of
    drugs).
  • A placebo is used for the comparison group if the
    objective is to evaluate a new drug in comparison
    with no treatment.
  • A placebo is an inactive agent made to seem
    identical to the active agent in terms of
    appearance and mode of administration having
    same color, weight, shape, and odour, exactly
    similar to the intervention medicine

28
  • In evaluations of new surgical procedures, it is
    more difficult to apply blinding.
  • It is obvious to which group the patient has been
    allocated.
  • Thus, masking in such settings may be limited to
    the individuals who are assessing the outcome.
  • For example, in a clinical trial of eye surgery,
    the technician measuring visual acuity would be
    masked as to treatment assignment to avoid bias
    in administration of the visual acuity test.

29
Relative Risk Measure of Effect Size
Total outcome outcome Group
Negative Positive Group
a b b a Intervention
c d d c Control
Relative risk (RR) Ratio of the incidence of a
given outcome in experimental group compared to
that in the control group ( a/(a b))
/ (c /( c d))
30
Pravastatin Study Results (NEJM 1996)
  • Outcome Placebo Pravastatin
  • Death CHD 274 13.2 212 10.2
  • Fatal MI 207 10 157
    7.5
  • Stroke 78 3.8 54
    2.6
  • Calculate RR for all

31
Advantages of RCTS
  •   More scientifically valid (time relation is
    clearly established).
  • Unbiased allocation of subjects through
    randomization. (No Selection Bias)
  • Unbiased assessment of outcomes through blinding.
    (No measurement bias)

32
Disadvantages of RCTS
  • Require large sample size.
  • Time consuming and expensive.
  • Non-compliance to treatment assignment
  • Attrition (Losses to follow-up) may affect
    validity of results.
  • Ethical issues may arise.

33
  • In summary, there is a hierarchy of studies from
    ones that open up a question to ones that may be
    the definitive answer or very close to that.
  • With increasing certainty comes increasing
    complexity and attention to detail (and
    increasing expense, time, and cooperation).

34
Selecting Study Designfrom Last Lecture
35
  • Choice of study design depends on
  • What is the research question/objective (to
    describe or to test a hypothesis)
  • descriptive versus analytic designs
  • Available knowledge about the condition
  • If new condition with little information
    Case-control
  • Disease incidence
  • If Rare choose Case-control
  • If Common choose Prospective cohort

36
  • Time span between exposure and outcome
  • If long latency choose Case-control
  • If Short choose Prospective cohort
  • Resources and Time available for study
  • if yes (Prospective cohort)
  • Quality of data from various sources
  • Uniformly available and objective data are
    available (e. g. birth weight for premature
    babies)
  • choose case-control
  • Often there are multiple approaches which will
    all work

37
Case control Cohort Aspect
Quick Relatively cheap Small - Long Expensive Larger Present Logistic of the study Time Cost Sample size Ethical problem
Best Best - - Best - - Best Best - Type of investigation Rare disease Disease with long latency period Rare exposure Multiple outcome Several risk factors
38
Case control Cohort Aspect
Always present Present Not certain Little Not a problem - - Certain Problematic Problematic Problems Selection bias Recall bias Temporal relationship Attrition problem Change in environment, behaviour
Can not be calculated Approximation (OR) Can not be calculated Can not be determined Can be calculated Can be calculated Can be calculated Can be determined Measurements Incidence rate Relative risk Attributable risk Dose-response relationship
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