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The prevalence of gestational diabetes mellitus recurrence—effect of ethnicity and parity: a metaanalysis
Abstract
Reports on the gestational diabetes mellitus (GDM) recurrence rate have been highly variable. Our objectives were to examine the possible causes of GDM recurrence rate variability and to obtain pooled estimates in subgroups. We have carried out a systematic review and metaanalysis based on the Metaanalysis Of Observational Studies in Epidemiology statement. We identified papers published from 1973 to September 2014. We identified papers using Medline (PubMed and Ovid), ClinicalTrials.gov and Google Scholar databases, and published references. We included only English-language, population-based studies that reported specified GDM criteria and GDM recurrence rate. A total of 18 eligible studies with 19,053 participants were identified. We used the Cochrane's Q test of heterogeneity to choose the model for estimating the pooled GDM recurrence rate. Metaregression was also used to explore the possible causes of variability between studies. The pooled GDM recurrence rate was 48% (95% confidence interval, 41-54%). A significant association between ethnicity and GDM recurrence rate was found (P = .02). Non-Hispanic whites had lower recurrence rate compared with other ethnicities (39% and 56%, respectively). Primiparous women had a lower recurrence rate compared with multiparous women (40% and 73%, respectively; P < .0001) No evidence for association between family history of diabetes and GDM recurrence was found. The overall GDM recurrence rate is high. Non-Hispanic whites and primiparous women have substantially lower GDM recurrence rates, which contributes to the variability between studies. Because no association between family history of diabetes and GDM recurrence was found, the large differences between ethnic groups may have also resulted from nongenetic factors. Thus, intervention programs could reduce the GDM recurrence rates.
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“Even after taking into account the age of the woman, pluriparity remains in a linear relationship to the incidence of GDM [16].”
From Gestational Diabetes Mellitus—Recent Literature Review (2022) · cites this paper as [16]
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Cites
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040296 · Cited by 23,020
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,094
Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040297 · Cited by 8,613
Vandenbroucke, J. P., Elm, E. V., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & initiative, F. T. S. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-147-8-200710160-00010-w1 · Cited by 3,543
Diagnosis and Classification of diabetes mellitus
Rossi, G. (2014) · Diapedia.org eBooks · doi:10.14496/dia..20 · Cited by 3,212
Buchanan, T. A., & Xiang, A. H. (2005) · Journal of Clinical Investigation · doi:10.1172/jci200524531 · Cited by 2,123
Metzger, B. E., Buchanan, T. A., Coustan, D. R., de Leiva, A., Dunger, D. B., Hadden, D. R., Hod, M., Kitzmiller, J. L., Kjos, S. L., Oats, J. N., et al. (2007) · Diabetes Care · doi:10.2337/dc07-s225 · Cited by 1,908
(1998) · PubMed · Cited by 992
Epidemiology of gestational diabetes mellitus and its association with Type 2 diabetes
Ben‐Haroush, A., Yogev, Y., & Hod, M. (2004) · Diabetic Medicine · doi:10.1046/j.1464-5491.2003.00985.x · Cited by 856
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song, J., Wu, Y., Ma, Y., He, J., Zhu, S., Tang, Y., Tang, J., Hu, M., Hu, L., Zhang, L., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4805459
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Metadata
- Authors
- Schwartz, N., Nachum, Z., & Green, M. S.
- Affiliations
- Emek Medical Center (IL)
- Technion – Israel Institute of Technology (IL)
- University of Haifa (IL)
- Corresponding author
- Schwartz, Naama
- Venue
- American Journal of Obstetrics and Gynecology
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 213
- Issue
- 3
- Pages
- 310-317
- ISSN
- 0002-9378 (ISSN-L)
- OpenAlex
- W1972251954
- Cited by
- 229
- References
- 40
- Citations by year
- 2026: 12 · 2025: 19 · 2024: 25 · 2023: 32 · 2022: 32 · 2021: 22 · 2020: 22 · 2019: 17 · 2018: 19 · 2017: 13 · 2016: 10 · 2015: 6
- FWCI
- 2.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Obstetrics and Gynecology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- gestational diabetes mellitus, recurrence, ethnicity, parity, primiparous women, multiparous women, family history of diabetes, racial differences
- MeSH terms
- Black or African American, Ethnicity, Female, Hispanic or Latino, Humans, Parity, Pregnancy, Recurrence, Prevalence, Diabetes, Gestational, White People, Asian People
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