Cargando…
The Relationship between Maternal Gestational Impaired Glucose Tolerance and Risk of Large-for-Gestational-Age Infant: A Meta-Analysis of 14 Studies
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 stud...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Galenos Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096488/ https://www.ncbi.nlm.nih.gov/pubmed/27087160 http://dx.doi.org/10.4274/jcrpe.2583 |
_version_ | 1782465479711916032 |
---|---|
author | Wang, Hai-Qing Lai, Han-Lin Li, Yi Liu, Qi-Fei Hu, Shuang Li, Li |
author_facet | Wang, Hai-Qing Lai, Han-Lin Li, Yi Liu, Qi-Fei Hu, Shuang Li, Li |
author_sort | Wang, Hai-Qing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5096488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Galenos Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-50964882016-11-10 The Relationship between Maternal Gestational Impaired Glucose Tolerance and Risk of Large-for-Gestational-Age Infant: A Meta-Analysis of 14 Studies Wang, Hai-Qing Lai, Han-Lin Li, Yi Liu, Qi-Fei Hu, Shuang Li, Li J Clin Res Pediatr Endocrinol Original Article 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. Galenos Publishing 2016-09 2016-09-01 /pmc/articles/PMC5096488/ /pubmed/27087160 http://dx.doi.org/10.4274/jcrpe.2583 Text en © Journal of Clinical Research in Pediatric Endocrinology, Published by Galenos Publishing. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Wang, Hai-Qing Lai, Han-Lin Li, Yi Liu, Qi-Fei Hu, Shuang Li, Li The Relationship between Maternal Gestational Impaired Glucose Tolerance and Risk of Large-for-Gestational-Age Infant: A Meta-Analysis of 14 Studies |
title | The Relationship between Maternal Gestational Impaired Glucose Tolerance and Risk of Large-for-Gestational-Age Infant: A Meta-Analysis of 14 Studies |
title_full | The Relationship between Maternal Gestational Impaired Glucose Tolerance and Risk of Large-for-Gestational-Age Infant: A Meta-Analysis of 14 Studies |
title_fullStr | The Relationship between Maternal Gestational Impaired Glucose Tolerance and Risk of Large-for-Gestational-Age Infant: A Meta-Analysis of 14 Studies |
title_full_unstemmed | The Relationship between Maternal Gestational Impaired Glucose Tolerance and Risk of Large-for-Gestational-Age Infant: A Meta-Analysis of 14 Studies |
title_short | The Relationship between Maternal Gestational Impaired Glucose Tolerance and Risk of Large-for-Gestational-Age Infant: A Meta-Analysis of 14 Studies |
title_sort | relationship between maternal gestational impaired glucose tolerance and risk of large-for-gestational-age infant: a meta-analysis of 14 studies |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096488/ https://www.ncbi.nlm.nih.gov/pubmed/27087160 http://dx.doi.org/10.4274/jcrpe.2583 |
work_keys_str_mv | AT wanghaiqing therelationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT laihanlin therelationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT liyi therelationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT liuqifei therelationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT hushuang therelationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT lili therelationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT wanghaiqing relationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT laihanlin relationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT liyi relationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT liuqifei relationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT hushuang relationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies AT lili relationshipbetweenmaternalgestationalimpairedglucosetoleranceandriskoflargeforgestationalageinfantametaanalysisof14studies |