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The Bologna criteria for poor ovarian response (POR) in IVF are useful but challenging to study. Stratified randomization can minimize bias in clinical trials by ensuring balanced group allocation for diverse patient subpopulations.

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Area of Science:

  • Reproductive Medicine
  • In Vitro Fertilization (IVF)
  • Clinical Trial Methodology

Background:

  • The Bologna criteria offer a framework for defining poor ovarian response (POR) in IVF.
  • The criteria encompass diverse POR subpopulations with varying characteristics and prognoses, posing research challenges.

Purpose of the Study:

  • To address the methodological challenges in designing studies based on the European Society of Human Reproduction and Embryology (ESHRE) POR criteria.
  • To explore strategies for minimizing bias in randomized controlled trials (RCTs) involving POR subpopulations.

Main Methods:

  • Discusses the limitations of single-sequence randomization in small to moderate-sized RCTs for achieving balanced allocation.
  • Proposes stratified randomization as a methodological alternative to ensure even distribution across intervention groups.
  • Highlights the importance of reporting patient characteristics and outcomes according to relevant subpopulations.

Main Results:

  • Single-sequence randomization may lead to allocation bias in RCTs with diverse POR subpopulations.
  • Stratified randomization can improve allocation balance, reducing potential result bias.
  • Methodological choices impact the accurate reporting of patient data within intervention groups.

Conclusions:

  • Designing robust RCTs for the ESHRE POR criteria requires careful consideration of randomization methods.
  • Stratified randomization is a valuable technique for enhancing the methodological rigor of IVF research on POR.
  • Accurate subpopulation reporting is crucial for interpreting study findings in assisted conception.