Sequential co-enrolment in randomised trials in neonatal intensive care medicine

Whitney Yoder1, Floris Groenendaal2, Wes Onland3

  • 1Departmentof Clinical, Neuro and Developmental Psychology, Faculty of Behavioural andMovement Sciences, Free University, Amtersdam, the Netherlands.

Insights

Recruiting patients for clinical trials can be challenging, especially in neonatal intensive care units. This study addresses sequential co-enrolment in multiple trials to estimate treatment effects accurately.

Area of Science:

  • Medical research methodology
  • Clinical trial design
  • Biostatistics

Background:

  • Patient recruitment for clinical trials is often limited in specialized settings like neonatal intensive care units.
  • Sequential co-enrolment into multiple trials presents challenges, including the risk of contaminated results.
  • Infants may have prior trial enrollment as fetuses, complicating new trial participation.

Purpose of the Study:

  • To define requirements for estimating different treatment effects (estimands) in sequential clinical trials.
  • To analyze how accounting for prior trial participation status and treatment impacts estimand interpretation.
  • To provide guidance for researchers when co-enrolment is unavoidable.

Main Methods:

  • Consideration of a scenario involving two sequential randomized clinical trials.
  • Description of various estimands based on how prior trial information is incorporated.
  • Analysis of how differences in available prior trial data affect interpretation and generalizability of results.

Main Results:

  • Estimands vary in their consideration of previous trial participation and treatment status.
  • Analytical results can differ in interpretation and generalizability due to prior trial data availability, unless treatment interactions are absent.
  • Co-enrolment necessitates careful data collection on prior trial status.

Conclusions:

  • Researchers must collect data on co-enrolment and prior treatment status when sequential trials are involved.
  • Trial analysis plans should be adapted to mitigate risks associated with co-enrolment.
  • Accurate estimation of meaningful treatment effects requires addressing potential biases from concurrent or prior trial participation.

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