Optimizing cord management for each preterm baby - Challenges of collating individual participant data and

Anna Lene Seidler1, Kylie E Hunter2, Angie Barba3

  • 1Senior Research Fellow, NHMRC Clinical Trials Centre, University of Sydney, Australia.

Insights

Optimal cord management for preterm infants remains unclear. The iCOMP Collaboration pooled data from over 100 trials to provide recommendations for future research and improve neonatal outcomes.

Area of Science:

  • Neonatal Research
  • Perinatology
  • Evidence Synthesis

Background:

  • Optimal cord management strategies for preterm infants are not definitively established.
  • Over 100 randomized controlled trials (RCTs) have investigated this question without reaching a consensus.

Purpose of the Study:

  • To conduct an individual participant data network meta-analysis of RCTs on cord management at preterm birth.
  • To describe challenges in data acquisition for cord management research.
  • To derive recommendations for future collaborative research in perinatology.

Main Methods:

  • Individual participant data network meta-analysis of existing RCTs.
  • Data harmonization and synthesis from multiple international studies.
  • Qualitative description of data acquisition challenges.

Main Results:

  • The iCOMP (individual participant data on COrd Management at Preterm birth) Collaboration successfully pooled data from numerous RCTs.
  • Key challenges and best practices for collaborative data acquisition were identified.
  • Recommendations for future research protocols and reporting standards were derived.

Conclusions:

  • Collaborative research, exemplified by the iCOMP Collaboration, is crucial for resolving controversies in neonatal care.
  • Standardized protocols, quality assurance, and focus on vulnerable populations are essential for future perinatology research.
  • Improved research methodologies can lead to better neonatal outcomes worldwide.

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