Evidence mapPaperPMID 40828786Full record

ArticlePloS one2025

Global and Chinese epidemiologic study of polycystic ovary syndrome in women of childbearing age, 1990-2021, and projections to 2035: Based on the Global Burden of Disease 2021 study.

Junping Liu, Yan Cai, Jiaying Li, Xiaodan Zhang

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In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Junping LiuDepartment of Traditional Medicine, Seventh People's Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yan CaiDepartment of Traditional Medicine, Seventh People's Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jiaying LiDepartment of Traditional Medicine, Seventh People's Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xiaodan ZhangDepartment of Traditional Medicine, Seventh People's Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID https://orcid.org/0009-0001-4272-1370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to synthesize and analyze the burden of disease of polycystic ovary syndrome (PCOS) in women of reproductive age globally and in China from 1990 to 2021.

methodsThe study utilized data from the Global Burden of Disease 2021 database, which contains detailed epidemiologic information from 204 countries and territories. Incidence, prevalence and disability-adjusted life years (DALYs) of polycystic ovary syndrome (PCOS) were assessed. Bayesian age-period cohort modeling was applied to project trends in the burden of disease up to 2035.

resultsGlobal trend: the incidence of polycystic ovary syndrome (PCOS) increased slightly from 58.84/100,000 in 1990 to 60.30/100,000 in 2021. there was a significant increase in prevalence of 29.66% and an increase in disability-adjusted life-years (DALYs) of 28.37%. Trends in China: Despite a slight decrease in prevalence (-1.96%), the prevalence of polycystic ovary syndrome (PCOS) and the number of DALYs in China increased substantially by 86.95% and 86.56%, respectively. Sociodemographic impact: Countries with higher sociodemographic indices tend to face a higher burden of PCOS. Future projections: BAPC model projections suggest that the prevalence of PCOS will continue to increase globally and in China through 2035.

conclusionThese findings highlight the growing public health challenge posed by polycystic ovary syndrome and emphasize the need to strengthen early identification, health management, and lifestyle interventions, especially in areas with high SDI.

Indexed as

Global Burden of DiseasePolycystic Ovary SyndromeAdolescentAdultBayes TheoremChinaDisability-Adjusted Life YearsEast Asian PeopleFemaleGlobal HealthHumansIncidencePrevalenceYoung Adult

Identifiers

PMID40828786
PMCPMC12364318

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.