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Related Experiment Videos

Planning of randomized early detection trials.

Ping Hu1, Marvin Zelen

  • 1Biometry Research Group, National Cancer Institute, Executive Plaza North, Suite 3131, 6130 Executive Blvd, MSC 7354, Bethesda, MD 20892-7354, USA. ph107y@nih.gov

Statistical Methods in Medical Research
|December 14, 2004
PubMed
Summary

This study examines early detection clinical trials for asymptomatic individuals. Key factors influencing trial power include screening frequency, timing, and participant age, impacting study design and results.

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Area of Science:

  • Clinical Trials Methodology
  • Preventive Medicine
  • Biostatistics

Background:

  • Screening asymptomatic populations aims for early disease detection.
  • Early detection trials have unique design considerations compared to therapeutic trials.
  • Factors like exam frequency and timing significantly affect statistical power.

Purpose of the Study:

  • To evaluate the design and power of early detection clinical trials.
  • To analyze how screening parameters influence trial outcomes.
  • To discuss trial designs where the usual care group also benefits from screening.

Main Methods:

  • Randomized clinical trial design for asymptomatic populations.
  • Analysis of factors affecting statistical power: number, timing, and age of exams.

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  • Evaluation of specific designs: 'up-front' and 'close-out' designs.

    • Main Results:

    • Trial power is influenced by the number, timing, and age of screening examinations.
    • Long-term follow-up can potentially reduce statistical power.
    • Specific designs like 'up-front' and 'close-out' can significantly reduce trial power.

    Conclusions:

    • Optimal follow-up time in early detection trials depends on examination spacing.
    • Careful consideration of design elements is crucial for effective early detection trials.
    • The 'up-front' and 'close-out' designs, while offering benefits, necessitate adjustments to maintain adequate statistical power.