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Journal of Ovarian Research

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Open Access 01-12-2024 | Research

Birth weight and premature ovarian insufficiency: a systematic review and meta-analysis

Authors: Chengyang Jiang, Tongqing Gao, Yuwei Wang, Wenqiang Yang, Huan Huang, Yushan Li, Xinghai Yang

Published in: Journal of Ovarian Research | Issue 1/2024

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.

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Title: Birth weight and premature ovarian insufficiency: a systematic review and meta-analysis
Authors: Chengyang Jiang
Tongqing Gao
Yuwei Wang
Wenqiang Yang
Huan Huang
Yushan Li
Xinghai Yang
Publication date: 01-12-2024
Publisher: BioMed Central
Published in: Journal of Ovarian Research / Issue 1/2024
Electronic ISSN: 1757-2215
DOI: https://doi.org/10.1186/s13048-024-01357-9

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Birth weight and premature ovarian insufficiency: a systematic review and meta-analysis

Abstract

Objective

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Objective

Methods

Results

Conclusions

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