The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
Impaired glucose tolerance, type 2 diabetes and metabolic syndrome in polycystic ovary syndrome: a systematic review and meta-analysis
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is a common condition in reproductive-aged women associated with impaired glucose tolerance (IGT), type 2 diabetes mellitus (DM2) and the metabolic syndrome. METHODS A literature search was conducted (MEDLINE, CINAHL, EMBASE, clinical trial registries and hand-searching) identifying studies reporting prevalence or incidence of IGT, DM2 or metabolic syndrome in women with and without PCOS. Data were presented as odds ratio (OR) [95% confidence interval (CI)] with fixed- and random-effects meta-analysis by Mantel-Haenszel methods. Quality testing was based on Newcastle-Ottawa Scaling and The Cochrane Collaboration's risk of bias assessment tool. Literature searching, data abstraction and quality appraisal were performed by two investigators. RESULTS A total of 2192 studies were reviewed and 35 were selected for final analysis. Women with PCOS had increased prevalence of IGT (OR 2.48, 95% CI 1.63, 3.77; BMI-matched studies OR 2.54, 95% CI 1.44, 4.47), DM2 (OR 4.43, 95% CI 4.06, 4.82; BMI-matched studies OR 4.00, 95% CI 1.97, 8.10) and metabolic syndrome (OR 2.88, 95% CI 2.40, 3.45; BMI-matched studies OR 2.20, 95% CI 1.36, 3.56). One study assessed IGT/DM2 incidence and reported no significant differences in DM2 incidence (OR 2.07, 95% CI 0.68, 6.30). One study assessed conversion from normal glucose tolerance to IGT/DM2 (OR 2.4, 95% CI 0.7, 8.0). No studies reported metabolic syndrome incidence. CONCLUSIONS Women with PCOS had an elevated prevalence of IGT, DM2 and metabolic syndrome in both BMI and non-BMI-matched studies. Few studies have determined IGT/DM2 or metabolic syndrome incidence in women with and without PCOS and further research is required.
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“In our study and in other reports, those with PCOS are scarcely informed about cardiometabolic risk factors and long-term morbidity risk including dyslipidemia, insulin resistance, pre-diabetes, diabetes and cardiovascular disease [71–73].”
From Challenges in diagnosis and health care in polycystic ovary syndrome in Canada: a patient view to improve health care (2023) · cites this paper as [72]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“metabolic challenges most notable after this”
From Assessment and management of polycystic ovary syndrome: Summary of an evidence-based guideline (2011) · cites this paper as [11]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
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“Presentation varies across the life span.”
From Assessment and management of polycystic ovary syndrome: Summary of an evidence-based guideline (2011) · cites this paper as [11]
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“PCOS is linked with increased prevalence of cardiometabolic risk factors, including dyslipidemia [10,11,12,13], hypertension [13,14,15], chronic inflammation, and impaired glucose tolerance [16,17], as well as overweight and obesity [18,19].”
From Moving beyond Weight: A Narrative Review of the Dietary and Lifestyle Management for Reducing Cardiometabolic Risk in Polycystic Ovary Syndrome (PCOS) (2023) · cites this paper as [17]
In the citing paper
“One relatively consistent finding is that obesity exacerbates the symptoms of PCOS, especially regarding the risk for development of T2D and the metabolic syndrome [76].”
From Polycystic Ovary Syndrome: Pathophysiology, Presentation, and Treatment With Emphasis on Adolescent Girls (2019) · cites this paper as [76]
In the citing paper
“fertility issues most prominent among women in their 20s and 30s”
From Assessment and management of polycystic ovary syndrome: Summary of an evidence-based guideline (2011) · cites this paper as [11]
In the citing paper
“Metabolic features of PCOS include an apparent propensity for excess weight gain, an increased prevalence of prediabetes and DM2, a 5-10-fold risk of progression from prediabetes to DM2 and a 4-7-fold risk of DM2. 11”
From Assessment and management of polycystic ovary syndrome: Summary of an evidence-based guideline (2011) · cites this paper as [11]
In the citing paper
“Metabolic features of PCOS include an apparent propensity for excess weight gain, an increased prevalence of prediabetes and DM2, a 5-10-fold risk of progression from prediabetes to DM2 and a 4-7-fold risk of DM2. 11”
From Assessment and management of polycystic ovary syndrome: Summary of an evidence-based guideline (2011) · cites this paper as [11]
In the citing paper
“Metabolic features of PCOS include an apparent propensity for excess weight gain, an increased prevalence of prediabetes and DM2, a 5-10-fold risk of progression from prediabetes to DM2 and a 4-7-fold risk of DM2. 11”
From Assessment and management of polycystic ovary syndrome: Summary of an evidence-based guideline (2011) · cites this paper as [11]
In the citing paper
“Metabolic features of PCOS include an apparent propensity for excess weight gain, an increased prevalence of prediabetes and DM2, a 5-10-fold risk of progression from prediabetes to DM2 and a 4-7-fold risk of DM2. 11”
From Assessment and management of polycystic ovary syndrome: Summary of an evidence-based guideline (2011) · cites this paper as [11]
In the citing paper
“Women with PCOS have increased Finnish Diabetes Risk Scores as well as increased risk of gestational diabetes, 24 prediabetes and DM2 11,103 - independent of, but exacerbated by, obesity.”
From Assessment and management of polycystic ovary syndrome: Summary of an evidence-based guideline (2011) · cites this paper as [11]
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1 retracted
Shaw, L. J., Bairey Merz, C. N., Azziz, R., Stanczyk, F. Z., Sopko, G., Braunstein, G. D., Kelsey, S. F., Kip, K. E., Cooper-DeHoff, R. M., Johnson, B. D., et al. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-0425 · Cited by 427
RetractedCochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
(2014) · Medical Entomology and Zoology · Cited by 17,633
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,094
Detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III)
Grundy, S. M., Becker, D. M., Clark, L. T., Cooper, R., Denke, M. A., Howard, J. L., Hunninghake, D. B., Illingworth, D. R., Luepker, R. V., McBride, P. E., et al. (2002) · Civil War Book Review · Cited by 12,198
Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Circulation · doi:10.1161/circulationaha.105.169404 · Cited by 11,961
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s5 · Cited by 10,325
The metabolic syndrome—a new worldwide definition
Alberti, K. G. M., Zimmet, P., & Shaw, J. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67402-8 · Cited by 9,352
(2004) · Fertility and Sterility · doi:10.1016/j.fertnstert.2003.10.004 · Cited by 9,050
Research works printed but not linked: 3
- Centre for Evidence-Based Medicine, 2009, Evidence Based Medicine Tools, Critical Appraisal, Study Designs
- Review Manager (RevMan) [Computer program], 2008
- Zawdaki, 1992, Diagnostic criteria for polycystic ovary syndrome: Towards a rational approach, 377
Cited by
Sorted by citations
European Guidelines on cardiovascular disease prevention in clinical practice (version 2012)
Authors/Task Force Members:, Perk, J., De Backer, G., Gohlke, H., Graham, I., Reiner, Ž., Verschuren, M., Albus, C., Benlian, P., Boysen, G., et al. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs092 · Cited by 8,490
2016 European Guidelines on cardiovascular disease prevention in clinical practice
Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., Cooney, M.-T., Corrà, U., Cosyns, B., Deaton, C., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw106 · Cited by 6,457
2021 ESC Guidelines on cardiovascular disease prevention in clinical practice
Visseren, F. L. J., Mach, F., Smulders, Y. M., Carballo, D., Koskinas, K. C., Bäck, M., Benetos, A., Biffi, A., Boavida, J.-M., Capodanno, D., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab484 · Cited by 6,485
Sex and Gender Differences in Risk, Pathophysiology and Complications of Type 2 Diabetes Mellitus
Kautzky-Willer, A., Harreiter, J., & Pacini, G. (2016) · Endocrine Reviews · doi:10.1210/er.2015-1137 · Cited by 2,043
Fauser, B. C. J. M., Tarlatzis, B. C., Rebar, R. W., Legro, R. S., Balen, A. H., Lobo, R., Carmina, E., Chang, J., Yildiz, B. O., Laven, J. S. E., et al. (2012) · Fertility and Sterility · doi:10.1016/j.fertnstert.2011.09.024 · Cited by 1,976
Self-citation
Metadata
- Authors
- Moran, L. J., Misso, M. L., Wild, R. A., & Norman, R. J.
- Affiliations
- Jean Hailes (AU)
- Monash University (AU)
- OU Health (US)
- The University of Adelaide (AU)
- Corresponding author
- Moran, Lisa J.
- Venue
- Human Reproduction Update
- Publisher
- Oxford University Press (OUP)
- Published
- 2010
- Volume
- 16
- Issue
- 4
- Pages
- 347-363
- ISSN
- 1355-4786 (ISSN-L)
- 1460-2369
- OpenAlex
- W2101316067
- Cited by
- 1,108
- References
- 128
- Citations by year
- 2026: 64 · 2025: 78 · 2024: 51 · 2023: 68 · 2022: 80 · 2021: 75 · 2020: 61 · 2019: 84 · 2018: 83 · 2017: 77 · 2016: 78 · 2015: 84 · 2014: 82 · 2013: 55 · 2012: 43
- FWCI
- 6.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Human Reproduction Update (publishedVersion)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Keywords
- polycystic ovary syndrome, impaired glucose tolerance, type 2 diabetes, metabolic syndrome, prevalence, incidence, body mass index, women's health
- MeSH terms
- Diabetes Mellitus, Type 2, Female, Humans, Polycystic Ovary Syndrome, United States, Body Mass Index, Incidence, Prevalence, Glucose Intolerance, Metabolic Syndrome
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