Cargando…

Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis

STUDY QUESTION: What is the contemporary prevalence of infertility in world populations and how do they differ by methodological and study characteristics? SUMMARY ANSWER: Pooled estimates of lifetime and period prevalence of 12-month infertility were 17.5% and 12.6%, respectively, but this varied b...

Descripción completa

Detalles Bibliográficos
Autores principales: Cox, C M, Thoma, M E, Tchangalova, N, Mburu, G, Bornstein, M J, Johnson, C L, Kiarie, J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725182/
https://www.ncbi.nlm.nih.gov/pubmed/36483694
http://dx.doi.org/10.1093/hropen/hoac051
_version_ 1784844525403897856
author Cox, C M
Thoma, M E
Tchangalova, N
Mburu, G
Bornstein, M J
Johnson, C L
Kiarie, J
author_facet Cox, C M
Thoma, M E
Tchangalova, N
Mburu, G
Bornstein, M J
Johnson, C L
Kiarie, J
author_sort Cox, C M
collection PubMed
description STUDY QUESTION: What is the contemporary prevalence of infertility in world populations and how do they differ by methodological and study characteristics? SUMMARY ANSWER: Pooled estimates of lifetime and period prevalence of 12-month infertility were 17.5% and 12.6%, respectively, but this varied by study population and methodological approach. WHAT IS KNOWN ALREADY: Infertility affects millions of individuals worldwide. Accurate measures of its magnitude are needed to effectively address and manage the condition. There are distinct challenges and variation in how infertility is defined and measured, limiting comparability of estimates across studies. Further research is needed to understand whether and how differences in methodological approaches and study characteristics account for heterogeneity in estimates. STUDY DESIGN, SIZE, DURATION: We conducted a systematic review and meta-analysis. Six electronic databases, websites of relevant organizations, and conference proceedings were systematically searched. Searches were limited to those published between 1 January 1990 and 11 March 2021, with no language restrictions. PARTICIPANTS/MATERIALS, SETTING, METHODS: Descriptive and random-effects meta-analysis models were used to examine range of estimates and generate estimates of pooled lifetime and period prevalence of 12-month infertility, respectively, among representative populations. Meta-regression using restricted maximum likelihood was applied to account for definitional and study characteristics and to obtain adjusted estimates. Risk of bias was assessed with a validated tool. MAIN RESULTS AND THE ROLE OF CHANCE: The search yielded 12 241 unique records of which 133 studies met the criteria for the systematic review. There were 65 and 69 studies that provided data for lifetime and period prevalence of 12-month infertility, respectively. Five methodological approaches were identified: prospective time-to-pregnancy (TTP) design, current duration design, retrospective TTP design, self-reported infertility measure and constructed infertility measure. Ranges for lifetime (3.3–39.7%) and period estimates (1.6–34.0%) were similar and wide even after accounting for methodological and study characteristics. Pooled estimates of lifetime and period prevalence were 17.5% (95% CI: 15.0, 20.3, n = 37 studies, I(2) = 99.5%) and 12.6% (95% CI: 10.7, 14.6, n = 43 studies, I(2) = 99.8%), respectively, with some variation in magnitude by region and methodological approach, but with most CIs overlapping. LIMITATIONS, REASONS FOR CAUTION: Pooled estimates generated from meta-analysis were derived from 12-month infertility prevalence estimates that were heterogeneous across different domains, even after adjusting for definitional and study characteristics. The number of studies was small for certain strata from which pooled estimates were derived (e.g. there were only two studies for lifetime prevalence in Africa). WIDER IMPLICATIONS OF THE FINDINGS: While findings show a high prevalence of infertility globally and regionally, it also reveals variation in measures to ascertain and compare infertility prevalence. More systematic and comprehensive collection of data using a consistent definition is needed to improve infertility prevalence estimates at global, regional and country-levels. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by the World Health Organization. The authors have no conflicts of interest. REGISTRATION NUMBER: PROSPERO CRD42020211704
format Online
Article
Text
id pubmed-9725182
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-97251822022-12-07 Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis Cox, C M Thoma, M E Tchangalova, N Mburu, G Bornstein, M J Johnson, C L Kiarie, J Hum Reprod Open Review STUDY QUESTION: What is the contemporary prevalence of infertility in world populations and how do they differ by methodological and study characteristics? SUMMARY ANSWER: Pooled estimates of lifetime and period prevalence of 12-month infertility were 17.5% and 12.6%, respectively, but this varied by study population and methodological approach. WHAT IS KNOWN ALREADY: Infertility affects millions of individuals worldwide. Accurate measures of its magnitude are needed to effectively address and manage the condition. There are distinct challenges and variation in how infertility is defined and measured, limiting comparability of estimates across studies. Further research is needed to understand whether and how differences in methodological approaches and study characteristics account for heterogeneity in estimates. STUDY DESIGN, SIZE, DURATION: We conducted a systematic review and meta-analysis. Six electronic databases, websites of relevant organizations, and conference proceedings were systematically searched. Searches were limited to those published between 1 January 1990 and 11 March 2021, with no language restrictions. PARTICIPANTS/MATERIALS, SETTING, METHODS: Descriptive and random-effects meta-analysis models were used to examine range of estimates and generate estimates of pooled lifetime and period prevalence of 12-month infertility, respectively, among representative populations. Meta-regression using restricted maximum likelihood was applied to account for definitional and study characteristics and to obtain adjusted estimates. Risk of bias was assessed with a validated tool. MAIN RESULTS AND THE ROLE OF CHANCE: The search yielded 12 241 unique records of which 133 studies met the criteria for the systematic review. There were 65 and 69 studies that provided data for lifetime and period prevalence of 12-month infertility, respectively. Five methodological approaches were identified: prospective time-to-pregnancy (TTP) design, current duration design, retrospective TTP design, self-reported infertility measure and constructed infertility measure. Ranges for lifetime (3.3–39.7%) and period estimates (1.6–34.0%) were similar and wide even after accounting for methodological and study characteristics. Pooled estimates of lifetime and period prevalence were 17.5% (95% CI: 15.0, 20.3, n = 37 studies, I(2) = 99.5%) and 12.6% (95% CI: 10.7, 14.6, n = 43 studies, I(2) = 99.8%), respectively, with some variation in magnitude by region and methodological approach, but with most CIs overlapping. LIMITATIONS, REASONS FOR CAUTION: Pooled estimates generated from meta-analysis were derived from 12-month infertility prevalence estimates that were heterogeneous across different domains, even after adjusting for definitional and study characteristics. The number of studies was small for certain strata from which pooled estimates were derived (e.g. there were only two studies for lifetime prevalence in Africa). WIDER IMPLICATIONS OF THE FINDINGS: While findings show a high prevalence of infertility globally and regionally, it also reveals variation in measures to ascertain and compare infertility prevalence. More systematic and comprehensive collection of data using a consistent definition is needed to improve infertility prevalence estimates at global, regional and country-levels. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by the World Health Organization. The authors have no conflicts of interest. REGISTRATION NUMBER: PROSPERO CRD42020211704 Oxford University Press 2022-11-12 /pmc/articles/PMC9725182/ /pubmed/36483694 http://dx.doi.org/10.1093/hropen/hoac051 Text en © World Health Organization, 2022. All rights reserved. The World Health Organization has granted the Publisher permission for the reproduction of this article. https://creativecommons.org/licenses/by/3.0/igo/This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 IGO License (https://creativecommons.org/licenses/by/3.0/igo/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Cox, C M
Thoma, M E
Tchangalova, N
Mburu, G
Bornstein, M J
Johnson, C L
Kiarie, J
Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis
title Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis
title_full Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis
title_fullStr Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis
title_full_unstemmed Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis
title_short Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis
title_sort infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725182/
https://www.ncbi.nlm.nih.gov/pubmed/36483694
http://dx.doi.org/10.1093/hropen/hoac051
work_keys_str_mv AT coxcm infertilityprevalenceandthemethodsofestimationfrom1990to2021asystematicreviewandmetaanalysis
AT thomame infertilityprevalenceandthemethodsofestimationfrom1990to2021asystematicreviewandmetaanalysis
AT tchangalovan infertilityprevalenceandthemethodsofestimationfrom1990to2021asystematicreviewandmetaanalysis
AT mburug infertilityprevalenceandthemethodsofestimationfrom1990to2021asystematicreviewandmetaanalysis
AT bornsteinmj infertilityprevalenceandthemethodsofestimationfrom1990to2021asystematicreviewandmetaanalysis
AT johnsoncl infertilityprevalenceandthemethodsofestimationfrom1990to2021asystematicreviewandmetaanalysis
AT kiariej infertilityprevalenceandthemethodsofestimationfrom1990to2021asystematicreviewandmetaanalysis