The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Prevalence of diabetes mellitus, hypertension and cardiac complaints in a follow-up study of a Dutch PCOS population
Open accessAbstract
The aim of this study was to investigate the prevalence of diabetes mellitus, hypertension and cardiac complaints in a Dutch population with polycystic ovarian syndrome (PCOS) and to compare the results with the prevalence of these conditions in the Dutch female population, as retrieved from the Netherlands Health Interview Survey of Statistics Netherlands. A total of 346 PCOS patients were interviewed by telephone, with a mean age of 38.7 years (range 30.3--55.7) and a mean body mass index of 24.4 (range 17.5--55.8). Diabetes occurred in eight (2.3%), hypertension in 31 (9%) and cardiac complaints in three (0.9%) of the women. The prevalence of diabetes and hypertension differed significantly from the prevalence of these conditions in the Dutch female population (both P < 0.05). In PCOS women aged 45--54 years (n = 32) the prevalence of diabetes was four times higher (P < 0.05) and of hypertension 2.5 times higher (P < 0.01) than the prevalence of these conditions in the corresponding age group of the Dutch female population. Hypertension also occurred significantly (P < 0.05) more in the younger (35--44 years) PCOS group (n = 233), but this age group was significantly more obese (P < 0.01) when compared with figures of obesity of the Dutch female population. In conclusion, our data show that in a follow-up study of a relatively lean PCOS population, the prevalence of diabetes mellitus and hypertension was increased when compared with the Dutch female population, especially in women aged 45--54 years.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Legro, R. S. (1999) · Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.84.1.165 · Cited by 1,743
Prevalence of impaired glucose tolerance and diabetes in women with polycystic ovary syndrome.
Ehrmann, D. A., Barnes, R. B., Rosenfield, R. L., Cavaghan, M. K., & Imperial, J. (1999) · Diabetes Care · doi:10.2337/diacare.22.1.141 · Cited by 1,257
Cellular mechanisms of insulin resistance in polycystic ovarian syndrome
Ciaraldi, T. P. (1992) · Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.75.2.577 · Cited by 336
Acién, P., Quereda, F., Matallı́n, P., Villarroya, E., López-Fernández, J. A., Acién, M., Mauri, M., & Alfayate, R. (1999) · Fertility and Sterility · doi:10.1016/s0015-0282(99)00184-3 · Cited by 170
Cited by
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
Diamanti-Kandarakis, E., & Dunaif, A. (2012) · Endocrine Reviews · doi:10.1210/er.2011-1034 · Cited by 1,947
Azziz, R., Carmina, E., Chen, Z., Dunaif, A., Laven, J. S. E., Legro, R. S., Lizneva, D., Natterson-Horowtiz, B., Teede, H. J., & Yildiz, B. O. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.57 · Cited by 2,005
Epidemiology, diagnosis, and management of polycystic ovary syndrome
Sirmans, S., & Pate, K. (2013) · Clinical Epidemiology · doi:10.2147/clep.s37559 · Cited by 1,302
Dumesic, D. A., Oberfield, S. E., Stener-Victorin, E., Marshall, J. C., Laven, J. S., & Legro, R. S. (2015) · Endocrine Reviews · doi:10.1210/er.2015-1018 · Cited by 1,020
Metadata
- Authors
- Elting, M. W., Korsen, T. J. M., Bezemer, P. D., & Schoemaker, J.
- Venue
- Human Reproduction
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-03-01
- Volume
- 16
- Issue
- 3
- Pages
- 556-560
- ISSN
- 0268-1161 (ISSN-L)
- 1460-2350
- OpenAlex
- W2134745348
- Cited by
- 254
- References
- 4
- FWCI
- 9.07
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prevalence of diabetes mellitus, hypertension and cardiac complaints in a follow-up study of a Dutch PCOS population. https://app.cochat.ai/papers/10.1093/humrep/16.3.556
- The paper
- Elting, M. W., Korsen, T. J. M., Bezemer, P. D., & Schoemaker, J. (2001). Prevalence of diabetes mellitus, hypertension and cardiac complaints in a follow-up study of a Dutch PCOS population. Human Reproduction. https://doi.org/10.1093/humrep/16.3.556
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.