Association between waist-to-height ratio and insulin resistance in patients with polycystic ovary syndrome: a meta-analysis

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: April 3, 2025

Background Insulin resistance (IR) is regarded as a significant role in the pathophysiology of Polycystic Ovary Syndrome (PCOS), hence early identification IR PCOS patients crucial for their treatment. Recent researches indicate that Waist-to-Height Ratio (WHtR) differs with accompanied by compared to those alone; however, consensus has yet be reached. This research presents meta-analysis current data propose straightforward new index diagnosing insulin resistance. Objective study aims assess correlation between WHtR and individuals polycystic ovarian syndrome synthesis information. will offer prognostic insights into onset ovaries. Methods systematic review finalized registration (CRD42025638798) on PROSPERO platform. We conducted search prominent databases, including PubMed, Embase, Web Science, The Cochrane Library, performed manual searches. Observational studies relevance (cohort, case-control, or cross-sectional) published before January 13, 2025, were considered. methodological quality case-control cohort was evaluated using NOS tool. Simultaneously, AHRQ criteria employed evaluate cross-sectional research. outcomes reported mean ± sd. aggregated analyzed StataMP17.0. Results A encompassing nine 3012 participants identified an increased (SMD: 1.07, 95% CI: 0.81, 1.32, p = 0.000). Conclusion Patients exhibit greater without Thus, incidence ovary can anticipated monitoring WHtR. Systematic https://www.crd.york.ac.uk/PROSPERO/view/CRD42025638798 , identifier CRD42025638798.

Language: Английский

The role of Triglyceride Glucose-Waist Circumference (TyG_WC) in predicting metabolic dysfunction-associated steatotic liver disease among individuals with hyperuricemia

BMC Gastroenterology, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 4, 2025

The incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) among individuals with hyperuricemia is significantly high. aim this study was to identify effective biomarkers for the detection MASLD patients hyperuricemia. We conducted an analysis involving 3424 participants from National Health and Nutrition Examination Survey (1999-2020). To potential significant variables, we employed Boruta's algorithm, SHapley Additive exPlanations (SHAP) random forests. Multivariable logistic regression models were utilized assess odds ratio (OR) developing MASLD. evaluate accuracy clinical value our prediction model, receiver operating characteristic (ROC) curves decision curve (DCA) curves. Among population (mean [SD] age, 54 [20] years, 1788 [52.22%] males) hyperuricemia, 1670 had Using SHAP forests, suggested that Triglyceride Glucose-Waist Circumference (TyG_WC) one most variables in predicting risk, area under (AUROC) 0.865. restricted spline (RCS) revealed a positive association between TyG_WC MASLD, when compared lowest quantile TyG_WC, risk highest 137.96 times higher. predictive strategy incorporating notably enhanced threshold probabilities spanning approximately 0% 100%, resulting improvement net benefit. Our found

Language: Английский