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The selection of patients for controlled trials

E G Bywaters

    Rheumatology and Rehabilitation
    |January 1, 1978
    PubMed

    Insights

    Patient selection for drug trials is complex, requiring careful consideration of biases and defining test parameters comprehensively. Ensuring results are relevant to the selected patient group is crucial for meaningful outcomes.

    Area of Science:

    • Clinical pharmacology
    • Drug development
    • Patient recruitment

    Background:

    • Patient selection for clinical trials is a complex process.
    • Subconscious bias and social conscience are critical considerations.
    • Defining the scope of testing is paramount before patient selection.

    Purpose of the Study:

    • To highlight the complexities of patient selection in drug testing.
    • To emphasize the need for comprehensive parameter definition.
    • To discuss the impact of bias and exclusions on result relevance.

    Main Methods:

    • The abstract discusses the conceptual framework of patient selection.
    • It emphasizes defining all testing parameters, including therapeutic, pharmacological, and mundane effects.
    • It addresses the management of inevitable biases in patient groups.

    Main Results:

    • Patient selection involves more than simple recruitment; it requires careful planning.
    • Comprehensive definition of test parameters (therapeutic, side-effects, long-term, fetal effects, acceptance, taste) is essential.
    • Managing bias and understanding the specific applicability of results to the selected cohort are key.

    Conclusions:

    • Effective patient selection balances comprehensive testing with managing bias.
    • Overly strict exclusions can limit the generalizability and usefulness of trial results.
    • Understanding the specific patient population studied is vital for interpreting drug trial outcomes.

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