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

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 t...

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Main Authors: Chengyang Jiang, Tongqing Gao, Yuwei Wang, Wenqiang Yang, Huan Huang, Yushan Li, Xinghai Yang
Format: Article
Language:English
Published: BMC 2024-04-01
Series:Journal of Ovarian Research
Subjects:
Online Access:https://doi.org/10.1186/s13048-024-01357-9
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author Chengyang Jiang
Tongqing Gao
Yuwei Wang
Wenqiang Yang
Huan Huang
Yushan Li
Xinghai Yang
author_facet Chengyang Jiang
Tongqing Gao
Yuwei Wang
Wenqiang Yang
Huan Huang
Yushan Li
Xinghai Yang
author_sort Chengyang Jiang
collection DOAJ
description 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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spelling doaj.art-7631c73e5c424eb4a56375e60db9b27a2024-04-07T11:27:11ZengBMCJournal of Ovarian Research1757-22152024-04-011711810.1186/s13048-024-01357-9Birth weight and premature ovarian insufficiency: a systematic review and meta-analysisChengyang Jiang0Tongqing Gao1Yuwei Wang2Wenqiang Yang3Huan Huang4Yushan Li5Xinghai Yang6Department of Pediatric Surgery, Tongji Medical College, Maternal and Child Hospital of Hubei Province, Huazhong University of Science and TechnologyHubei University of Chinese MedicineSchool of Medicine, Wuhan University of Science and TechnologySchool of Medicine, Wuhan University of Science and TechnologySchool of Medicine, Wuhan University of Science and TechnologySchool of Medicine, Wuhan University of Science and TechnologyDepartment of Pediatric Surgery, Tongji Medical College, Maternal and Child Hospital of Hubei Province, Huazhong University of Science and TechnologyAbstract 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.https://doi.org/10.1186/s13048-024-01357-9Low birth weightPremature ovarian insufficiencyBirth weight
spellingShingle Chengyang Jiang
Tongqing Gao
Yuwei Wang
Wenqiang Yang
Huan Huang
Yushan Li
Xinghai Yang
Birth weight and premature ovarian insufficiency: a systematic review and meta-analysis
Journal of Ovarian Research
Low birth weight
Premature ovarian insufficiency
Birth weight
title Birth weight and premature ovarian insufficiency: a systematic review and meta-analysis
title_full Birth weight and premature ovarian insufficiency: a systematic review and meta-analysis
title_fullStr Birth weight and premature ovarian insufficiency: a systematic review and meta-analysis
title_full_unstemmed Birth weight and premature ovarian insufficiency: a systematic review and meta-analysis
title_short Birth weight and premature ovarian insufficiency: a systematic review and meta-analysis
title_sort birth weight and premature ovarian insufficiency a systematic review and meta analysis
topic Low birth weight
Premature ovarian insufficiency
Birth weight
url https://doi.org/10.1186/s13048-024-01357-9
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