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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The global prevalence of primary ovarian insufficiency and early menopause: a meta-analysis

Golezar, S., Ramezani Tehrani, F., Khazaei, S., Ebadi, A., Keshavarz, Z.·2019·Climacteric

Abstract

Objective: The aim of this study was to estimate the global prevalence of primary ovarian insufficiency (POI) and early menopause (EM).Methods: A comprehensive literature search was performed in several databases to retrieve relevant English articles published between 1980 and 2017. To assess the methodological quality of the studies, the Newcastle-Ottawa Scale was used. The heterogeneity of results across the studies was assessed using Cochran’s Q test and quantified by the I2 statistic. Prevalence estimates of all studies were pooled using a random-effects meta-analysis model at a confidence level of 95%.Results: A total of 8937 potentially relevant articles were identified from the initial searches. Thirty-one studies met the inclusion criteria and were included in this meta-analysis. The pooled prevalence of POI and EM was calculated as 3.7% (95% confidence interval: 3.1, 4.3) and 12.2% (95% confidence interval: 10.5, 14), respectively. The prevalence of POI was higher in medium and low Human Development Index countries. The prevalence trend did not change over time.Conclusion: The prevalence of POI and EM in women is considerable. The results of this study could contribute to consciousness-raising of health policy-makers toward the necessity of prioritizing, planning, and allocating health resources as preventive and treatment interventions for these women.

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Crossref · 10.1080/13697137.2019.1574738

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Metadata

Authors
Golezar, S., Ramezani Tehrani, F., Khazaei, S., Ebadi, A., & Keshavarz, Z.
Venue
Climacteric
Published
2019-03-04
Volume
22
Issue
4
Pages
403-411
ISSN
  • 1369-7137 (ISSN-L)
  • 1473-0804
OpenAlex
W2919421583
Cited by
387
References
5
FWCI
5.85
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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