Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 186

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The prevalence of polycystic ovaries in women with type 2 diabetes mellitus

Conn, Jennifer J., Jacobs, Howard S., Conway, Gerard S.·2000·Clinical Endocrinology

Abstract

OBJECTIVE: Polycystic ovary syndrome (PCOS) and type 2 diabetes mellitus are both common conditions associated with insulin resistance and compensatory hyperinsulinaemia. Previous reports have noted that impaired glucose tolerance and diabetes are common in women with PCOS. In this report we present the results of the converse study: the prevalence of polycystic ovaries in premenopausal women presenting with type 2 diabetes mellitus. SUBJECTS: Subjects were recruited from a hospital Diabetes Clinic. A search of computerized records identified 49 premenopausal women with type 2 diabetes mellitus being treated with diet alone or oral hypoglycaemic agents of whom 38 (76%) patients agreed to be studied. DESIGN: A cross‐sectional study recording clinical, demographic and anthropometric data. Measurements of fasting metabolic parameters, reproductive endocrine profiles and ovarian dimensions were taken. RESULTS: Eighty‐two percent of women with type 2 diabetes mellitus had polycystic ovaries on ultrasound. Of these women, 52% had clinical evidence of cutaneous hyperandrogenism and/or menstrual disturbance. Correlations between metabolic and reproductive parameters were consistent with a stimulatory action of insulin on the ovary. There was no significant difference between the PCO and non‐PCO groups with respect to metabolic profiles. CONCLUSIONS: Women with type 2 diabetes mellitus have a higher prevalence of polycystic ovaries than that reported in the general population. Not all women with hyperinsulinaemia due to type 2 diabetes mellitus, however, develop PCO suggesting that hyperinsulinaemia alone is not sufficient for the expression of this ovarian morphology.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1046/j.1365-2265.2000.00884.x

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

See all 186

Metadata

Authors
Conn, J. J., Jacobs, H. S., & Conway, G. S.
Venue
Clinical Endocrinology
Publisher
Wiley
Published
2000-01
Volume
52
Issue
1
Pages
81-86
ISSN
  • 0300-0664 (ISSN-L)
  • 1365-2265
OpenAlex
W2102050322
Cited by
186
References
2
FWCI
14.57
Type
journal article
Language
en
Open access
closed

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: The prevalence of polycystic ovaries in women with type 2 diabetes mellitus. https://app.cochat.ai/papers/10.1046/j.1365-2265.2000.00884.x
The paper
Conn, J. J., Jacobs, H. S., & Conway, G. S. (2000). The prevalence of polycystic ovaries in women with type 2 diabetes mellitus. Clinical Endocrinology. https://doi.org/10.1046/j.1365-2265.2000.00884.x

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.