ArticleReproductive biology and endocrinology : RB&E2023
Association of insulin resistance with polycystic ovary syndrome phenotypes and patients' characteristics: a cross-sectional study in Iran.
Article in Reproductive biology and endocrinology : RB&E, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Adjunctive effects of apple cider vinegar on metabolic syndrome and insulin resistance in polycystic ovary syndrome patients receiving metformin: a randomized clinical trial.Scientific reports · 2026Trial
- 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
- Elevated Visceral Adiposity Index is Associated with Reproductive Endocrine Characteristics, and Adverse Pregnancy Outcomes in Chinese Women with Polycystic Ovary Syndrome.International journal of women's health · 2026Article
- LncRNA MEG3, GAS5, and HOTTIP Polymorphisms Association with Risk of Polycystic Ovary Syndrome: A Case-Control Study and Computational Analyses.Biochemical genetics · 2025Article
- Hormone responses to buserelin in polycystic ovary syndrome and in eumenorrheic women with hyperandrogenism/hyperandrogenemia, and the relationship of these responses with insulin resistance.Journal of clinical & translational endocrinology · 2025Article
- Mitochondrial DNA Deletions and Plasma GDF-15 Protein Levels Are Linked to Hormonal Dysregulation and Multi-Organ Involvement in Female Reproductive Endocrine Disorders.Life (Basel, Switzerland) · 2025Article
- Review
- Metabolic Risk Profile of Eastern Indian Women with Different Phenotypes of Polycystic Ovary Syndrome.Journal of obstetrics and gynaecology of India · 2025Article
- Thioredoxin-interacting protein is associated with obesity-induced insulin resistance in PCOS patients: a large-scale case-control study.Archives of gynecology and obstetrics · 2025Article
- Longitudinal trajectories of insulin resistance in women with polycystic ovary syndrome: a functional data analysis approach.Endocrine connections · 2025Article
- Impact of Metformin Therapy on Chronic Inflammatory Markers Serum Fractalkine and CRP Levels in Polycystic Ovary Syndrome: A Pilot Study on Chronic Inflammatory Markers and Clinical Outcomes.Journal of obstetrics and gynaecology of India · 2025Article
- The waist-to-height ratio is a good predictor for insulin resistance in women with polycystic ovary syndrome.Frontiers in endocrinology · 2024Article
- Positive association between different triglyceride glucose index-related indicators and psoriasis: evidence from NHANES.Frontiers in immunology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPolycystic ovary syndrome (PCOS) is the most common endocrine disorder in women. This disorder affects 6-15% of women of childbearing age worldwide. It is diagnosed with hyperandrogenism, polycystic ovaries, and chronic anovulation with insulin resistance. This study aimed to assess the prevalence of insulin resistance (IR) in 4 phenotypes of PCOS, and its relationship with demographic, clinical, and paraclinical individual characteristics in a sample of Iranian PCOS patients.
methodsThis particular cross-sectional investigation involved 160 female participants, aged between 18 and 45 years, who were receiving care at gynecology clinics in Urmia, northwestern Iran. All the participants had been diagnosed with PCOS and were categorized into one of four phenotypes. All the participants underwent clinical evaluations, paraclinical assessments, and ultrasound scans. IR was defined as HOMA-IR > 2.5. The statistical significance level was 0.05.
resultsAmong the 160 participants, the prevalences of the 4 phenotypes were: A: 83 (51.9%), B: 37 (23.1%), C: 21 (13.1%), and D: 19 (11.9%). IR was detected in 119 participants (74.4%); its rate was significantly different between the 4 phenotypes (p-value: 0.008) as A: 62 (74.7%), B: 34 (91.9%), C: 12 (57.1%), D: 11 (57.9%). Linear and logistic regression analyses were performed to control confounding factors. In linear regression, PCOS phenotype, classic phenotype (A&B), economic status, and Hb levels were significantly related to HOMA-IR; in logistic regression Hb levels, exercise, economic status, and PCOS phenotypes were significantly associated with insulin resistance.
conclusionsThe most prevalent PCOS phenotype in this study was A. PCOS phenotypes were significantly related to insulin resistance and HOMA-IR, with the highest levels of insulin resistance and HOMA-IR observed in phenotype B. Determining the phenotype of PCOS may be helpful for better management of PCOS and its associated complications. However, further investigations are recommended in this regard.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.