ArticleCureus2021
Correlation of Homeostatic Model Assessment-Insulin Resistance, Anti-Mullerian Hormone, and BMI in the Characterization of Polycystic Ovary Syndrome.
Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Anti-Müllerian Hormone Levels Across Phenotypes in Polycystic Ovary Syndrome: A Systematic Review and Meta-analysis.Journal of the Endocrine Society · 2026Review
- Anti-Müllerian hormone in relation to adiposity and metabolic indices in polyendocrine metabolic ovarian syndrome.Frontiers in endocrinology · 2026Article
- Beyond BMI: insulin resistance emerges as the key metabolic correlate of AMH in PCOS.Frontiers in endocrinology · 2026Article
- Differences in clinical characteristics and cardiovascular disease risk prediction among Chinese women with polycystic ovary syndrome phenotypes: a cross-sectional study.Frontiers in endocrinology · 2026Article
- Unraveling the Complexity of Polycystic Ovary Syndrome: Biomarkers for Diagnosis, Prognosis, and Treatment.Current pharmaceutical design · 2026Review
- Effects of Omega-3 Fatty Acid Supplementation on Serum Fetuin-A Levels in Patients With Coronary Artery Disease.Food science & nutrition · 2025Article
- Evaluation of Anti-Müllerian Hormone (AMH) Serum Levels in Patients with Polycystic Ovary Syndrome (PCOS) Depending on Body Mass Index (BMI).Journal of clinical medicine · 2025Article
- Association between anti-mullerian hormone and metabolic syndrome: insights from a prospective community-based study.BMC endocrine disorders · 2024Article
- Assessing the clinical diagnostic value of anti-Müllerian hormone in polycystic ovarian syndrome and its correlation with clinical and metabolism indicators.Journal of ovarian research · 2024Article
- Neuregulin 4 in Polycystic Ovarian Syndrome (PCOS) Phenotypes: A Key Role or Standby.Reports of biochemistry & molecular biology · 2023Article
- Metabolic Syndrome Rather Than Other Phenotypes in PCOS as a Predictive Indicator for Clinical Outcomes in IVF: Comprehensive Phenotypic Assessment across All PCOS Classifications.Journal of clinical medicine · 2023Article
- Polymorphisms of mtDNA in the D-loop region moderate the associations of BMI with HOMA-IR and HOMA-β among women with polycystic ovary syndrome: a cross-sectional study.Journal of assisted reproduction and genetics · 2023Article
- Free androgen index (FAI)'s relations with oxidative stress and insulin resistance in polycystic ovary syndrome.Scientific reports · 2023Article
- Article
- Evaluation of anti-Müllerian hormone in pre-menopausal women stratified according to thyroid function, autoimmunity and age.Thyroid research · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the correlation of homeostatic model assessment-insulin resistance (HOMA-IR), anti-Mullerian hormone (AMH), and BMI and to compare their values across the different phenotypes in polycystic ovary syndrome (PCOS) women of the reproductive age group. STUDY
designA total of 307 PCOS-diagnosed women were included in the study and further classified in different phenotypes. BMI, HOMA-IR, and serum AMH values were noted and their association with different phenotypes was seen. The correlation of these variables was also noted.
resultsPhenotype D was the most common phenotype followed by type A, type B, and type C. A total of 265 women had an AMH value of ≥4 mg/ml with the highest value in phenotype A followed by D, C, and B. HOMA-IR and BMI values did not vary significantly among different phenotypes. HOMA-IR and BMI had a statistically significant positive correlation and serum AMH was negatively correlated with HOMA-IR, but no significant correlation was seen between serum AMH and BMI. The biochemical parameters like luteinizing hormone (LH), follicle-stimulating hormone (FSH), LH: FSH ratio, and serum testosterone showed no correlation with phenotypes or any other clinical parameter.
conclusionHOMA-IR and BMI showed a statistically significant positive correlation indicating the need for lifestyle modification and weight reduction in PCOS women, which can further help in decreasing insulin resistance. A strong correlation of serum AMH levels and phenotypes shows the importance of serum AMH levels for classifying different PCOS phenotypes.
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