Epidemiology and reporting of randomized trials employing re-randomization of patient groups: a systematic survey

Edward J Mills1, Steven Kelly, Ping Wu

  • 1Department of Clinical Epidemiology and Biostatistics, McMaster University, 1200 Main Street West, Hamilton, Ontario, Canada. millsej@mcmaster.ca

Insights

Re-randomization trials, though valuable for drug studies, are uncommon and often poorly reported. This systematic review highlights their rarity and methodological shortcomings, limiting their potential benefits.

Area of Science:

  • Clinical Trials Methodology
  • Medical Research Design

Background:

  • Re-randomization in clinical trials offers unique advantages for optimizing treatments and comparing therapies.
  • However, the prevalence, epidemiology, and quality of such trials remain largely undocumented.

Purpose of the Study:

  • To systematically review and characterize trials that employ re-randomization of participants.
  • To assess the prevalence, reported purposes, and methodological quality of re-randomization trials.

Main Methods:

  • A systematic literature search was conducted across 11 electronic databases and pharmaceutical company websites.
  • Data extraction focused on trial characteristics, reasons for re-randomization, patient groups, and methodological reporting (e.g., allocation concealment, blinding, intention-to-treat).

Main Results:

  • A total of 65 re-randomization trials were identified, predominantly published after 1995.
  • Common uses included optimal dosing (21 trials) and direct comparisons (24 trials), with no trials using it for disease-modifying effects.
  • Significant patient attrition occurred between randomization periods, and reporting of methodological features was often inadequate.

Conclusions:

  • Trials utilizing re-randomization are relatively infrequent in medical research.
  • There is a notable deficiency in the reporting of critical methodological aspects in these trials.
  • The potential benefits of re-randomization are not fully realized due to these limitations.

Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...