ISSN: 1308-5727 | E-ISSN: 1308-5735
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Turkish Society for Pediatric Endocrinology and Diabetes
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]
J Clin Res Pediatr Endocrinol. 2016; 8(3): 264-269 | DOI: 10.4274/jcrpe.2583

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

Hai-Qing Wang1, Han-Lin Lai1, Yi Li1, Qi-Fei Liu1, Shuang Hu1, Li Li1
Anhui Medical University School Of Public Health, Department Of Nutrition And Food Hygiene, Anhui, China

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.

Keywords: Gestational impaired glucose tolerance,large for gestational age,meta-analysis

Hai-Qing Wang, Han-Lin Lai, Yi Li, Qi-Fei Liu, Shuang Hu, Li Li. 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; 8(3): 264-269
Manuscript Language: English
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