Customised versus population-based growth charts as a screening tool for detecting small for gestational age infants

Angela E Carberry1, Adrienne Gordon, Diana M Bond

  • 1Sydney School of Public Health, University of Sydney, Camperdown, Sydney, NSW, Australia, 2050.

Insights

No randomized trials were found comparing customized versus population-based growth charts for screening fetal growth. Further research is needed to determine the benefits and harms of customized charts for detecting small for gestational age infants.

Area of Science:

  • Obstetrics and Gynecology
  • Perinatal Medicine
  • Evidence-Based Medicine

Background:

  • Fetal growth restriction is a major pregnancy complication, often resulting in infants who are small for gestational age (SGA).
  • Identifying SGA infants is crucial due to their increased risk of perinatal morbidity and mortality.
  • Current clinical assessments for SGA are often insufficient, highlighting the need for improved screening tools.

Purpose of the Study:

  • To evaluate the benefits and harms of using customized growth charts versus population-based growth charts for screening fetal growth in pregnant women.

Main Methods:

  • A systematic search of the Cochrane Pregnancy and Childbirth Group's Trials Register was conducted.
  • Published guidelines and reference lists of review articles were also reviewed.
  • Inclusion criteria focused on randomized, quasi-randomized, or cluster-randomized trials comparing customized and population-based growth charts for fetal growth screening.

Main Results:

  • No randomized clinical trials met the inclusion criteria for this review.
  • Therefore, no direct comparative evidence exists from randomized trials regarding the effectiveness of customized versus population-based growth charts.

Conclusions:

  • There is a lack of high-quality randomized trial evidence to support the use of customized growth charts over population-based charts.
  • Further large-scale randomized trials are necessary to assess the benefits and harms, including perinatal mortality, associated with customized growth charts in various settings and measurement methods.
Abstract

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