The Relationship between Maternal Gestational Impaired Glucose Tolerance and Risk of Large-for-Gestational-Age Infant: A Meta-Analysis of 14 Studies

J Clin Res Pediatr Endocrinol. 2016 Sep 1;8(3):264-9. doi: 10.4274/jcrpe.2583. Epub 2016 Apr 18.

Abstract

Objective: To explore, by conducting a meta-analysis, whether gestational impaired glucose tolerance (IGT) is an independent predictor of neonatal large for gestational age (LGA) or not.

Methods: Medline, Embase, and Cochrane Library databases were searched to identify published epidemiological studies (cohort and case-control studies) investigating the association between gestational IGT and neonatal LGA. Calculations of pooled estimates were conducted in random-effect models or fixed-effects models. Heterogeneity was tested by using chi-square test and I2 statistics. Egger's test (linear regression method) and Begg's test (rank correlation method) were used to assess potential publication bias.

Results: Fourteen observational studies were included in the meta-analysis. The overall risk for the effect of IGT on LGA was 2.09 (1.56, 2.78). Stratified analyses showed no differences regarding different geographic regions or the analysis of overall adjusted odds ratios. No evidence of publication bias was observed in either Egger's test or Begg's test results.

Conclusion: Gestational IGT is an independent predictor of neonatal LGA.

Publication types

  • Meta-Analysis

MeSH terms

  • Birth Weight / physiology*
  • Case-Control Studies
  • Cohort Studies
  • Diabetes, Gestational / physiopathology*
  • Female
  • Gestational Age
  • Glucose Intolerance / physiopathology*
  • Humans
  • Infant, Newborn
  • Odds Ratio
  • Overweight / physiopathology*
  • Pregnancy
  • Risk Assessment / methods
  • Risk Assessment / statistics & numerical data
  • Risk Factors