Uji Klinis Protocol

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    CLINICAL

    PROTOCOL

    DEVELOPMENT

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    Whats The Question?

    What is the study hypothesis?

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    Whats The Question?

    Whats the outcome?

    Whats the intervention?

    When and for how long?

    For whom?

    How many participants are needed?

    How can we optimize potentialbenefit (and what we learn) while

    minimizing potential harm?

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    Answering the Question

    Response variable selection andmeasurement

    Defining the intervention

    Study design Eligibility criteria

    Sample size estimate

    Patient management procedures

    Monitoring for safety and benefit

    Data analysis approaches

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    Response Variable Selection

    Dose ranging

    Biologic activity

    Biomarker

    Understand mechanism Surrogate outcome

    Toxicity

    Condition/vector/gene interaction

    Feasibility for larger study

    Clinical outcome

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    Response Variable Criteria

    Well defined

    Stable

    Reproducible

    Unbiased

    Ascertainable in all participants Adequately address study

    hypothesis

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    Defining the Intervention

    Dose/dosing schedule

    Vector

    Route of delivery

    Method of preparation

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    Study Design

    Uncontrolled

    Controlled

    Before/after

    Historical

    Concurrent, not randomized

    Randomized

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    Comparing Treatments

    Fundamental principle Groups must be alike in all important aspects and only differ

    in the intervention each group receives

    In practical terms, comparable treatment groups means

    alike on the average

    Randomization Each participant has the same chance of receiving any of the

    interventions under study

    Allocation is carried out using a chance mechanism so that

    neither the participant nor the investigator will know in

    advance which will be assigned

    Blinding

    Avoidance of conscious or subconscious influence

    Fair evaluation of outcomes

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    Non-randomized Trials

    May Be Appropriate

    Early studies of new and untried therapies

    Uncontrolled early phase studies where

    the standard is relatively ineffective

    Investigations which cannot be done

    within the current climate of controversy(no clinical equipoise)

    Truly dramatic response

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    Advantages of Randomized

    Control Clinical Trial

    1. Randomization "tends" to produce

    comparable groups

    2. Randomization produces valid statistical

    tests

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    Disadvantages of

    Randomized Control Clinical Trial1. Generalizable Results?

    Participants studied may not represent

    general study population.

    2. Recruitment

    Hard

    3. Acceptability of Randomization Process

    Some physicians will refuse

    Some participants will refuse

    4. Administrative Complexity

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    Study Population

    Subset of the general population determined

    by the eligibility criteria

    General population

    Eligibility criteria

    Study population

    Enrollment

    Study sample

    Observed

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    Eligibility Criteria

    State in advance

    Consider

    Potential for effect of intervention

    Ability to detect that effect

    Safety

    Ability for true informed consent

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    Sample Size (1)

    The study is an experiment in people

    Need enough participants to answer

    the question

    Should not enroll more than needed

    to answer the question

    Sample size is an estimate, using

    guidelines and assumptions

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    Sample Size (2)

    Approaches for early phase studies

    Dose escalation schemes

    Decision that intervention is unlikely tobe effective in x% of participants

    Decision that intervention could be

    effective in x% of participants Standard ways of estimating for

    phase III

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    Sample Size (3)

    Assumptions depend on

    Nature of condition

    Desired precision of answer

    Availability of alternative treatments

    Knowledge of intervention being

    studied Availability of participants

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    Regular Follow-up

    Routine Procedures (report forms)

    Interviews

    Examinations

    Laboratory Tests

    Adverse Event Detection/Reporting

    Quality Assurance

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    Contingency Plans

    Patient management

    Evaluation and reporting to all

    relevant persons and groups

    Data monitoring plans

    Protocol amendment or study

    termination

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    Data Analysis (1)

    Occurrence of event

    Time to event

    Mean level of response

    Duration of response

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    Data Analysis (2)

    Intention-to-treat

    Explanatory

    Subgroups

    Adjusted vs. Unadjusted

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    Data Analysis (3)

    Specify in advance

    Primary

    Secondary

    Other

    Statistical approach

    Exploratory

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    Summary

    Protocol lays out who, what, why,

    when, where, how

    Safeguards participants

    Safeguards study integrity

    Midcourse changes are often

    appropriate (even necessary)