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Dataset Information

A nomogram to predict the risk of insulin resistance in Chinese women with polycystic ovary syndrome.


ABSTRACT:

Background

Insulin resistance (IR) is considered a major driver of the pathophysiology of polycystic ovary syndrome (PCOS), mediating the progression of hyperandrogenism and metabolic and reproductive dysfunction in patients with PCOS. Early detection of the risk of concurrent IR is essential for women with PCOS. To address this need, this study developed a predictive nomogram for assessing the risk of IR in women with PCOS, aiming to provide a tool for risk stratification and assist in clinical decision-making.

Methods

Patients with untreated PCOS-IR diagnosed in a single-center retrospective cohort study from January 2023 to December 2023 were included for nomogram construction and validation. The area under the ROC curve (AUC), calibration curve, Hosmer-Lemeshow (H-L) goo

SUBMITTER: Guo B 

PROVIDER: S-EPMC11631621 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature