PDF(Pubmed)
Abstract：
OBJECTIVE: To comprehensively evaluate the effect of low birth weight on premature ovarian insufficiency.
METHODS: We performed a systematic review of the literature by searching MEDLINE, EMBASE, Web of Science, Scopus, Wanfang and CNKI up to August 2023. All cohort and case-control studies that included birth weight as an exposure and premature ovarian insufficiency as an outcome were included in the analysis. Data were combined using inverse-variance weighted meta-analysis with fixed and random effects models and between-study heterogeneity evaluated. We evaluated risk of bias using the Newcastle Ottawa Scale and using Egger\'s method to test publication bias. All statistical analyses were performed with the use of R software.
RESULTS: Five articles were included in the review. A total of 2,248,594 women were included, including 21,813 (1%) cases of premature ovarian insufficiency, 150,743 cases of low birth weight, and 220,703 cases of macrosomia. We found strong evidence that changed the results of the previous review that low birth weight is associated with an increased risk of premature ovarian insufficiency (OR = 1.15, 95%CI 1.09-1.22) in adulthood compared with normal birth weight. No effect of macrosomia on premature ovarian insufficiency was found.
CONCLUSIONS: Our meta-analysis showed strong evidence of an association between low birth weight and premature ovarian insufficiency. We should reduce the occurrence of low birth weight by various methods to avoid the occurrence of premature ovarian insufficiency.
METHODS: We performed a systematic review of the literature by searching MEDLINE, EMBASE, Web of Science, Scopus, Wanfang and CNKI up to August 2023. All cohort and case-control studies that included birth weight as an exposure and premature ovarian insufficiency as an outcome were included in the analysis. Data were combined using inverse-variance weighted meta-analysis with fixed and random effects models and between-study heterogeneity evaluated. We evaluated risk of bias using the Newcastle Ottawa Scale and using Egger\'s method to test publication bias. All statistical analyses were performed with the use of R software.
RESULTS: Five articles were included in the review. A total of 2,248,594 women were included, including 21,813 (1%) cases of premature ovarian insufficiency, 150,743 cases of low birth weight, and 220,703 cases of macrosomia. We found strong evidence that changed the results of the previous review that low birth weight is associated with an increased risk of premature ovarian insufficiency (OR = 1.15, 95%CI 1.09-1.22) in adulthood compared with normal birth weight. No effect of macrosomia on premature ovarian insufficiency was found.
CONCLUSIONS: Our meta-analysis showed strong evidence of an association between low birth weight and premature ovarian insufficiency. We should reduce the occurrence of low birth weight by various methods to avoid the occurrence of premature ovarian insufficiency.
摘要：
目的：综合评价低出生体重对卵巢早衰的影响。
方法：我们通过搜索MEDLINE对文献进行了系统回顾，EMBASE,WebofScience,Scopus,万方和CNKI截至2023年8月。所有包括出生体重作为暴露量和卵巢功能早衰作为结果的队列和病例对照研究都包括在分析中。使用反向方差加权meta分析将数据与固定和随机效应模型相结合，并评估研究之间的异质性。我们使用纽卡斯尔渥太华量表并使用Egger方法测试发表偏倚来评估偏倚风险。所有统计分析均使用R软件进行。
结果：这篇综述包括5篇文章。共包括2248594名妇女，包括21,813例(1%)卵巢早衰,150,743例低出生体重，和220,703例巨大儿。我们发现了强有力的证据，改变了先前的评价结果，即与正常出生体重相比，低出生体重与成年期卵巢早衰风险增加有关（OR=1.15，95CI1.09-1.22）。未发现巨大儿对卵巢早衰的影响。
结论：我们的荟萃分析显示了低出生体重与卵巢功能不全之间存在关联的有力证据。应通过多种方法减少低出生体重的发生,避免卵巢早衰的发生。
方法：我们通过搜索MEDLINE对文献进行了系统回顾，EMBASE,WebofScience,Scopus,万方和CNKI截至2023年8月。所有包括出生体重作为暴露量和卵巢功能早衰作为结果的队列和病例对照研究都包括在分析中。使用反向方差加权meta分析将数据与固定和随机效应模型相结合，并评估研究之间的异质性。我们使用纽卡斯尔渥太华量表并使用Egger方法测试发表偏倚来评估偏倚风险。所有统计分析均使用R软件进行。
结果：这篇综述包括5篇文章。共包括2248594名妇女，包括21,813例(1%)卵巢早衰,150,743例低出生体重，和220,703例巨大儿。我们发现了强有力的证据，改变了先前的评价结果，即与正常出生体重相比，低出生体重与成年期卵巢早衰风险增加有关（OR=1.15，95CI1.09-1.22）。未发现巨大儿对卵巢早衰的影响。
结论：我们的荟萃分析显示了低出生体重与卵巢功能不全之间存在关联的有力证据。应通过多种方法减少低出生体重的发生,避免卵巢早衰的发生。
