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吸烟与前置胎盘:一项荟萃分析。

Smoking and placenta previa: a meta-analysis.

作者信息

Shobeiri Fatemeh, Jenabi Ensiyeh

机构信息

a Maternal and Child Care Research Center, Hamadan University of Medical Sciences , Hamadan , Iran.

b Department of Midwifery , Tuyserkan Branch, Islamic Azad University , Tuyserkan , Iran.

出版信息

J Matern Fetal Neonatal Med. 2017 Dec;30(24):2985-2990. doi: 10.1080/14767058.2016.1271405. Epub 2017 Jan 4.

Abstract

OBJECTIVE

Previous studies found a positive association between placenta previa and smoking during pregnancy. However, the results of these studies are inconsistent. The aim was to perform meta-analysis of the association between smoking during pregnancy and placenta previa.

METHODS

Major electronic databases, including PubMed, Web of Science, and Scopus were searched until June 2015. The heterogeneity across studies was explored by Q-test and I statistic. The possibility of publication bias was assessed using Begg's and Egger's tests. The results were reported using odds ratio (OR) estimate with its 95% confidence intervals using a random-effects model.

RESULTS

The literature search yielded 991 publications until October 2015 with 9,094,443 participants. Based on the random effect model, compared to nonsmoker women, the estimated OR and RR of placenta previa was 1.42 (95% CI: 1.30, 1.54) and 1.27 (95% CI: 1.18, 1.35), respectively.

CONCLUSIONS

There is sufficient documents based on the observational studies that smoking during pregnancy is significantly associated with an increased risk of placenta previa. Therefore, smoking during pregnancy can be considered as a predictor of placenta previa.

摘要

目的

既往研究发现前置胎盘与孕期吸烟之间存在正相关。然而,这些研究结果并不一致。本研究旨在对孕期吸烟与前置胎盘之间的关联进行荟萃分析。

方法

检索包括PubMed、Web of Science和Scopus在内的主要电子数据库,检索截至2015年6月。通过Q检验和I统计量探讨各研究间的异质性。使用Begg检验和Egger检验评估发表偏倚的可能性。采用随机效应模型,以比值比(OR)估计值及其95%置信区间报告结果。

结果

截至2015年10月的文献检索共获得991篇出版物,涉及9,094,443名参与者。基于随机效应模型,与不吸烟女性相比,前置胎盘的估计OR和RR分别为1.42(95%CI:1.30, 1.54)和1.27(95%CI:1.18, 1.35)。

结论

基于观察性研究有足够的文献表明孕期吸烟与前置胎盘风险增加显著相关。因此,孕期吸烟可被视为前置胎盘的一个预测因素。

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