Cited by 38Ovarian function and disordersDiabetes, Cardiovascular Risks, and LipoproteinsHealth Systems, Economic Evaluations, Quality of Life

Incidence and prevalence of diabetes and cost of illness analysis of polycystic ovary syndrome: A Bayesian modelling study

Open access
Ding, Tao, Hardiman, Paul J, Petersen, Irene, Baio, Gianluca·2018·Human Reproduction

Abstract

STUDY QUESTION: What is the incidence/prevalence of type 2 diabetes in women with polycystic ovary syndrome (PCOS) and the economic burden associated with PCOS in the UK? SUMMARY ANSWER: The incidence and prevalence of type 2 diabetes in women with PCOS are 3-33 per 1000 person years and 26.5%, respectively, with an associated annual healthcare burden of at least £237 million in the UK. WHAT IS KNOWN ALREADY: Although observational studies have been designed to assess the incidence of diabetes in women with PCOS, these have been open to criticism because of short periods of follow-up, small sample sizes or invalidated diagnosis of PCOS. Only one study has estimated the healthcare-related economic burden of PCOS, reporting a cost of $4.36 billion per year in the USA. STUDY DESIGN, SIZE, DURATION: This was a modelling study using individual patient data from a UK primary care database between 2004 and 2014 and aggregate data from the literature to obtain conversion rates through disease progression of PCOS. A simulation approach was applied to model the population dynamics of PCOS over a follow-up period of 25 years. PARTICIPANTS/MATERIALS, SETTING, METHODS: A total of 14 135 women with PCOS or symptoms indicative of PCOS were selected from the primary care database to estimate the incidence of confirmed diagnosis of PCOS and diagnosis of type 2 diabetes. A 'virtual' cohort including the entire PCOS population (size estimated from the UK census data) was simulated to model the population dynamics of PCOS. The economic and utility analyses were further conducted from a healthcare perspective. MAIN RESULTS AND THE ROLE OF CHANCE: The peak conversion rate from possible to diagnosed PCOS was 121 per 1000 person-year (PY). The maximal incidence of type 2 diabetes was 33 per 1000 PY. The estimated prevalence of diabetes in the PCOS population was 26.5% (95% interval: 25.4-27.8%) during a 25-year follow-up. The annual healthcare burden of PCOS based on our conservative estimate is at least £237 million for the follow-up period examined. LIMITATIONS, REASONS FOR CAUTION: Due to lack of data, a full economic evaluation including healthcare costs of all the comorbidities associated with PCOS was not possible. Simplification of the real-world situation represented by the model may be a concern. WIDER IMPLICATIONS OF THE FINDINGS: This study suggests that a large number of women with symptoms indicative of PCOS never receive a definitive diagnosis yet can suffer from a rapid conversion to diabetes. This significantly reduces the quality of life for individual patients and incurs high costs for healthcare providers. As the risk of diabetes in women with PCOS is similar to that seen in populations at high risks of diabetes, it is possible that including them in national screening programmes may be cost effective. STUDY FUNDING/COMPETING INTEREST(S): There was no funding for the current study. There are no conflicts of interest. TRIAL REGISTRATION NUMBER: Not applicable.

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 · 10.1093/humrep/dey093

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

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.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ding, T., Hardiman, P. J., Petersen, I., & Baio, G.
Affiliations
  • University College London (GB)
  • The Royal Free Hospital (GB)
Corresponding author
Ding, Tao
Venue
Human Reproduction
Published
2018-04-19
Volume
33
Issue
7
Pages
1299-1306
ISSN
  • 0268-1161 (ISSN-L)
  • 1460-2350
OpenAlex
W2801117379
Cited by
38
References
26
Citations by year
2026: 1 · 2025: 5 · 2024: 8 · 2023: 7 · 2022: 4 · 2021: 7 · 2020: 1 · 2019: 5
FWCI
3.49
Type
journal article
Language
en
Open access
Locations
  • Human Reproduction (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
Keywords
polycystic ovary syndrome, type 2 diabetes, incidence, prevalence, economic burden, healthcare burden, disease progression, PCOS diagnosis, Bayesian simulation, primary care, women
MeSH terms
Adolescent, Adult, Bayes Theorem, Diabetes Mellitus, Type 2, Female, Humans, Models, Theoretical, Polycystic Ovary Syndrome, Quality of Life, Comorbidity, Incidence, Prevalence, Health Care Costs, Cost of Illness, Young Adult

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