Inappropriate Use of Homeostasis Model Assessment Cutoff Values for Diagnosing Insulin Resistance in Pediatric

Insights

Established insulin resistance cutoff values for pediatric patients are lacking scientific support. This review found common Homoeostasis Model Assessment (HOMA) values lack validation, impacting type 2 diabetes risk assessment in children.

Area of Science:

  • Pediatric Endocrinology
  • Metabolic Research
  • Clinical Diagnostics

Background:

  • Insulin resistance assessment in children is crucial for identifying type 2 diabetes mellitus risk.
  • Homoeostasis Model Assessment (HOMA) is a common insulin resistance measure, but lacks established pediatric cutoff values.
  • Existing pediatric HOMA cutoff values are widely used in research without clear validation.

Purpose of the Study:

  • To evaluate the validity of Homoeostasis Model Assessment (HOMA) cutoff values used in pediatric research.
  • To determine the evidential basis for commonly employed HOMA cutoff points in pediatric studies.
  • To assess the reliability of HOMA as a diagnostic tool for insulin resistance in children.

Main Methods:

  • Systematic review of pediatric studies published between January 2010 and December 2015.
  • Screening of 298 articles for HOMA use in pediatric insulin resistance assessment.
  • Analysis of citation history and references supporting HOMA cutoff values.

Main Results:

  • 51 different HOMA cutoff values were identified across the analyzed studies.
  • 85.6% of studies used fixed HOMA cutoff values, but only 28.2% provided supporting references.
  • Many commonly used HOMA cutoff values lack validated evidence and are based on unverified sources.

Conclusions:

  • There is a significant lack of evidence supporting the HOMA cutoff values currently used in pediatric research.
  • The study underscores the need for rigorous validation of study design elements, including diagnostic criteria.
  • Developing population-specific HOMA ranges is recommended to enhance its clinical utility in pediatric populations.
Abstract

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