Cited by 193Ovarian function and disordersDiabetes, Cardiovascular Risks, and LipoproteinsGenetic and Kidney Cyst Diseases

Referral Bias in Defining the Phenotype and Prevalence of Obesity in Polycystic Ovary Syndrome

Open access
Ezeh, Uche, Yildiz, Bulent O., Azziz, Ricardo·2013·The Journal of Clinical Endocrinology & Metabolism

Abstract

BACKGROUND: The described phenotype of the polycystic ovary syndrome (PCOS) has been primarily based on findings in a referred (self or otherwise) population. It is possible that the phenotype of PCOS would be different if the disorder were to be detected and studied in its natural (unbiased) state. OBJECTIVE: Our objective was to compare the phenotype of PCOS detected in an unselected population with that identified in a referral population. PARTICIPANTS: Participants included 292 PCOS patients identified at a tertiary care outpatient facility (referral PCOS) and 64 PCOS women (unselected PCOS) identified through the screening of a population of 668 seeking a pre-employment physical. Among the women undergoing a pre-employment physical, 563 did not demonstrate features of the disorder (unselected controls). All PCOS subjects met the National Institutes of Health 1990 criteria for the disorder. MAIN OUTCOME MEASURES: We estimated prevalence of obesity and severity of disease burden. RESULTS: Referral PCOS subjects had greater mean body mass index and hirsutism score and higher degrees of hyperandrogenemia, were more likely to be non-Hispanic White (83.90%), and demonstrated a more severe PCOS subphenotype than unselected PCOS or unselected controls. The prevalence of obesity and severe obesity in referral PCOS was 2.3 and 2.5 times greater than estimates of the same in unselected PCOS and 2.2 and 3.8 times greater than estimates in unselected controls, respectively. Alternatively, unselected PCOS subjects had a prevalence of obesity and severe obesity and a mean body mass index similar to those of the general population from which they were derived. CONCLUSION: The phenotype of PCOS, including the racial/ethnic mix, severity of presentation, and rate of obesity, is affected significantly by whether the PCOS subject arises from a referral population or through unselected screening, likely reflecting the degree of patient concern and awareness and access to healthcare.

Integrity signals

Registry

Crossref · 10.1210/jc.2013-1295

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ezeh, U., Yildiz, B. O., & Azziz, R.
Affiliations
  • Cedars-Sinai Medical Center (US)
  • Department of Internal Medicine, Endocrinology, and Metabolism Unit (B.O.Y.), Hacettepe University School of Medicine, Hacettepe, 06100 Ankara, Turkey
  • University of California, Los Angeles (US)
Corresponding author
Azziz, Ricardo
Venue
The Journal of Clinical Endocrinology & Metabolism
Published
2013-06-01
Volume
98
Issue
6
Pages
E1088-E1096
ISSN
  • 0021-972X (ISSN-L)
  • 1945-7197
OpenAlex
W2040201798
Cited by
193
References
42
Citations by year
2026: 9 · 2025: 13 · 2024: 19 · 2023: 22 · 2022: 14 · 2021: 13 · 2020: 13 · 2019: 10 · 2018: 19 · 2017: 10 · 2016: 16 · 2015: 15 · 2014: 14 · 2013: 6
FWCI
20.60
Type
journal article
Language
en
Open access
Locations
  • The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Hacettepe University Institutional Repository (hacettepe.edu.tr) (submittedVersion, other-oa)
Funders
  • National Institutes of Health (K24-HD01346, 1-K24-HD01346)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK073632)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (K24HD001346, R01HD029364, 1-K24-HD01346, R01-HD29364)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and Kidney Cyst Diseases
Keywords
polycystic ovary syndrome, referral bias, obesity prevalence, PCOS phenotypes, hyperandrogenemia, hirsutism, body mass index, racial and ethnic differences, disease severity
MeSH terms
Adult, Female, Humans, Obesity, Phenotype, Polycystic Ovary Syndrome, Referral and Consultation, Bias, Body Mass Index, Prevalence, Hyperandrogenism

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