| Literature link | GPT Summary | Evidence category | Disease type |
|---|---|---|---|
| 35387184 | This research evaluated the predictive value of maternal coagulation function and glycolipid metabolism indicators in early pregnancy for diagnosing GDM. By analyzing data from 584 pregnant women, the authors found that several biomarkers, including pre-pregnancy BMI, FPG, APTT, TT, TG, LDL-C, sdLDL-C, and APOB, are significant predictors of GDM. They developed a prediction model using these indicators, which demonstrated high accuracy, sensitivity, and specificity for early GDM diagnosis. | Risk factor | GDM |
| KEGG pathway |
|---|
| Cholesterol metabolism |
RF's name
Small Dense Low-Density Lipoprotein-Cholesterol
RF's type
Lipid metabolism function indicators