Evidence map›Paper›PMID 41523516›Full record

ArticleCureus2025

Prevalence and Predictors of Metabolic Syndrome in Women with Polycystic Ovarian Syndrome: A Cross-Sectional Study.

Shubu Shruthi, Geetha Lakshmi, Meena T S, Jasmine Kavitha Washington

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

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Shubu ShruthiObstetrics and Gynaecology, Sree Balaji Medical College and Hospital, Chennai, IND.
Geetha LakshmiObstetrics and Gynaecology, Sree Balaji Medical College and Hospital, Chennai, IND.
Meena T SObstetrics and Gynaecology, Sree Balaji Medical College and Hospital, Chennai, IND.
Jasmine Kavitha WashingtonObstetrics and Gynaecology, Sree Balaji Medical College and Hospital, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolycystic ovarian syndrome (PCOS) is one of the most common endocrine disorders affecting women of reproductive age and is strongly associated with metabolic disturbances. The coexistence of PCOS and metabolic syndrome (MetS) significantly increases the risk of type 2 diabetes mellitus and cardiovascular disease. The present study aimed to determine the prevalence and predictors of MetS among women with PCOS attending a tertiary care hospital in South India.

methodsA hospital-based cross-sectional study was conducted among 70 women aged 18-45 years diagnosed with PCOS as per the Rotterdam 2003 criteria. Data on demographic, clinical, anthropometric, biochemical, and lifestyle factors were collected using a structured proforma. MetS was diagnosed based on the National Cholesterol Education Program's Adult Treatment Panel III (NCEP ATP III, 2005) revised criteria with Asian-specific waist circumference cut-offs. Statistical analyses included chi-square tests, independent

resultsThe overall prevalence of MetS was 32 (45.7%) (95% CI: 33.9-57.8%). Among individual MetS components, 54 (77.1%) had elevated waist circumference, 46 (65.7%) had low HDL cholesterol, 38 (54.3%) had high triglycerides, 28 (40.0%) had elevated blood pressure, and 26 (37.1%) had elevated fasting glucose. Women aged ≥26 years 26(81.3%), obese with BMI ≥27.5 kg/m² 26 (81.3%), and centrally obese (waist ≥88 cm; 30(93.8%)) were significantly more likely to have MetS (p<0.001). Insulin resistance (homeostasis model assessment of insulin resistance (HOMA-IR) ≥2.5) was present in 30 (93.8%) women with MetS compared to 18 (47.4%) without MetS (p=0.013). Lifestyle factors such as low physical activity (26, 81.3%) and high refined-carbohydrate intake (28, 87.5%) were also strongly associated.

conclusionNearly half of women with PCOS had MetS, predominantly driven by obesity, central adiposity, and insulin resistance. Routine metabolic screening, early lifestyle modification, and integrated management are essential to prevent long-term cardiometabolic complications in this high-risk group.

Indexed as

insulin resistanceobesity and diabetespcos and metabolic syndromepolycystic ovarian syndrome (pcos)type 2 diabetes mellitus (dm)

Identifiers

PMID41523516
PMCPMC12784311

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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 OpenQuestion graph.