| Literature link | GPT Summary | Evidence category | Disease type |
|---|---|---|---|
| 36909340 | The study developed and validated a nomogram using LASSO logistic regression and multivariate ROC risk analysis to predict GDM risk factors in early pregnancy. Data from 824 pregnant women formed the training dataset, while 392 women's data served as the validation set. Five significant predictors were identified: age, BUN, FAR, BUN/Cr, and BUN/ALB. Evaluation through ROC, C-index, calibration, and DCA showed that the nomogram has strong predictive power and can be used clinically for early GDM risk assessment and intervention. | Risk factor | GDM |
RF's name
Fibrinogen to Albumin ratio
RF's type
Inflammation indicator