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A global perspective on the accuracy of pediatric weight estimation methods in emergency care: A systematic review

Irrintzi Fernández-Aedo1, Sendoa Ballesteros-Peña2, Sandra Tobar-Cabrera3

  • 1Biobizkaia Health Research Institute (IIS Biobizkaia), Plaza de Cruces s/n, Barakaldo, Bizkaia 48903, Spain; Nursing I department, Faculty of Medicine and Nursing, University of the Basque Country (EHU), Spain.

The American Journal of Emergency Medicine
|January 24, 2026
PubMed

Insights

Accurate pediatric weight estimation is crucial in emergency care. Multivariable and locally validated methods are most reliable, but diverse global data necessitates tailored approaches for each emergency system.

Area of Science:

  • Pediatric Emergency Medicine
  • Clinical Pharmacology
  • Biostatistics

Background:

  • Accurate patient weight is critical in pediatric emergency services.
  • Existing weight estimation tools exhibit biases and variable accuracy.
  • A comprehensive evaluation of global pediatric weight estimation methods is needed.

Purpose of the Study:

  • To systematically review and compare the accuracy and applicability of pediatric weight estimation methods worldwide.
  • To identify the most reliable methods for use in clinical practice.

Main Methods:

  • Systematic review following PRISMA guidelines.
  • Inclusion of observational and validation studies (2010-2025) with original data.
  • Searches conducted across major databases (PubMed, Scopus, Web of Science, ProQuest).

Main Results:

  • Thirty-one studies from diverse global regions were analyzed.
  • Two-dimensional and parental estimation methods showed higher accuracy, especially in overweight/obese populations.
  • Significant heterogeneity in age ranges, error criteria, and validation approaches was noted.

Conclusions:

  • Methods incorporating multiple anthropometric variables or local validation are most reliable.
  • The uneven global evidence base highlights the need for localized validation.
  • Emergency systems should tailor methods to local demographics and implement standardized validation.
Abstract

Keywords:
AnthropometryBody weightEmergency medicinePediatrics

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