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Crossover and self-controlled designs in clinical research.

T A Louis, P W Lavori, J C Bailar

    The New England Journal of Medicine
    |January 5, 1984
    PubMed
    Summary

    Crossover and self-controlled studies require fewer patients but often lack robust design. Analysis revealed issues in treatment assignment, switching rules, and blinding, impacting the validity of clinical trial results.

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    Area of Science:

    • Clinical Trials Methodology
    • Biostatistics

    Background:

    • Crossover and self-controlled study designs efficiently yield valid clinical trial results with reduced patient numbers.
    • These designs are valuable for clinical research, but their effective implementation requires careful consideration of methodological aspects.

    Purpose of the Study:

    • To evaluate the design and analysis of crossover studies published in a specific journal between 1978-1979.
    • To identify common practices and potential limitations in the application of crossover and self-controlled study designs.

    Main Methods:

    • Review of 13 crossover studies from 1978-1979, assessing key design features.
    • Examination of patient assignment, treatment switching criteria, blinding, order effects, and statistical analysis.
    • Brief review of 28 self-controlled studies.

    Main Results:

    • Only 7 of 13 crossover studies used random assignment for initial treatment.
    • Most studies used time-dependent rules for treatment switching (10/13), but 3 used less appropriate disease-state-dependent rules.
    • Blinding of the crossover point was infrequent (3/13), and assessment of treatment order effects was rare (1/13).
    • Most studies (11/13) employed minimally acceptable statistical analysis.

    Conclusions:

    • Crossover and self-controlled studies show potential for efficient clinical research but require rigorous design and analysis.
    • Methodological shortcomings, including randomization, blinding, and order effect assessment, were prevalent in the reviewed studies.
    • Improvements in study design and statistical analysis are crucial for maximizing the validity and reliability of self-controlled and crossover trial findings.

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