| Literature link | GPT Summary | Evidence category | Disease type |
|---|---|---|---|
| 12660262 | This study investigates the relationship between plasma homocysteine levels and insulin resistance in patients with polycystic ovary syndrome (PCOS). A cohort of 155 infertile PCOS patients was screened for insulin resistance using fasting insulin, glucose-to-insulin ratio, and the homeostasis model assessment (HOMA) index, while 100 normo-ovulatory women with normal ovaries served as controls. Results revealed a significantly higher mean plasma homocysteine level in the PCOS group compared to controls (11.5 ± 7.4 vs. 7.4 ± 2.1 μmol/L, P < 0.001). Insulin-resistant PCOS patients exhibited even higher homocysteine levels than their non-insulin-resistant counterparts (P = 0.003), independent of body mass index. Furthermore, 34% of PCOS patients had homocysteine levels above the 95th percentile of controls. Significant correlations were found between insulin resistance indices and homocysteine levels, with multiple logistic regression identifying insulin resistance as the primary determinant of elevated homocysteine. These findings suggest that hyperinsulinemia in PCOS contributes to increased homocysteine levels, which may have implications for both reproductive outcomes and long-term cardiovascular risk. |
Mechanism |
Polycystic ovary syndrome |
| 26754418 | This study investigated the predictability of gestational diabetes mellitus (GDM) during the first trimester using insulin resistance indicators and anthropometric measurements, along with the impact of weight gain during pregnancy (WGDP). Among 227 singleton pregnancies, 8.8% developed GDM. HOMA-IR, BMI, and WGDP were independently associated with GDM. Key findings included: HOMA-IR >2.08 (OR 1.254, AUC 0.809) with 90% sensitivity and 61% specificity; BMI >25.95 kg/m2 (OR 1.157, AUC 0.723) with 80% sensitivity and 58% specificity; and WGDP >4.7 kg (OR 1.221, AUC 0.654) with 80% sensitivity and 46% specificity. Notably, even with a high HOMA-IR score (>3.1), GDM incidence was low (10.3%) when WGDP was <4.7 kg by weeks 24-28. The study concludes that first-trimester screening combining HOMA-IR, BMI, and WGDP can help identify GDM risk, and controlling weight gain may reduce GDM development, particularly in women with elevated BMI and HOMA-IR. | Risk factor | GDM |
| 37075929 | This study explored the relationship between glycated hemoglobin (HbA1c), homeostasis model assessment insulin resistance (HOMA-IR), and the risk of gestational diabetes mellitus (GDM) in a prospective cohort of 462 pregnant women. Among the participants, 29.44% developed GDM. Both HbA1c and HOMA-IR were positively associated with an increased risk of GDM, and the risk was significantly higher when both markers were elevated. This association was not observed in women under 35 years of age. Additionally, fasting glucose levels at 24-28 weeks were higher in the group with elevated HOMA-IR and HbA1c among women with GDM. These findings suggest that combined assessments of HbA1c and HOMA-IR in early pregnancy may help identify women at high risk for GDM, enabling earlier interventions. | Risk factor | GDM |
| 18382910 | This study aimed to predict gestational diabetes mellitus (GDM) during the first trimester by evaluating fasting glucose, insulin levels, and the homeostasis model assessment-insulin resistance (HOMA-IR) index in 271 pregnant women between 10-14 weeks of gestation. Results showed that HOMA-IR values were significantly higher in women who developed GDM. A HOMA-IR cut-off value of 2.60 was identified as predictive for GDM. The study concludes that using a HOMA-IR threshold of >2.60 in the first trimester could be an effective method for early prediction of GDM. | Risk factor | GDM |
RF's name
Homeostatic Model Assessment of Insulin Resistance
RF's type
Pancreatic function indicator