To predict the risk of lymph node metastasis of patients with cervical cancer based on the inflammatory indicators, and to establish a predictive nomogram model. Methods: The clinical data of 219 patients who had initially diagnosed with cervical cancer and treated by surgery in hospital from January 2017 to December 2022 were included in this study retrospectively. These patients were divided into two groups based on whether lymph node metastasis or not. The clinical data of the women were collected and were compared between the two groups. The influencing factors of the lymph node metastasis of the patients with cervical cancer were analyzed by logistic regression. The nomogram model for predicting the lymph node metastasis of the patients with cervical cancer was constructed by R software, and its accuracy was verified. Results: The values of serum neutrophil (NE), monocyte (MO) counts, and SII index, and the expression of Ki67 of the patients with lymph node metastasis were significantly higher than those of the patients without lymph node metastasis, and the expression of estrogen receptor (ER) of the patients with lymph node metastasis was significantly lower (P<0.05). The lymph vascular space invasion (LVSI) of the patients with cervical cancer was associated with their lymph node metastasis (all P<0.05). Logistic regression analysis showed that the SII and LVSI of the patients with cervical cancer were the independent risk factors of their lymph node metastasis (P<0.05). The predictive nomogram model was constructed, and the prediction probability was consistent with the actual observed value, with Hosmer-Lemeshow P=0.276. Receiver operating characteristic (ROC) curve showed that the combination of the SII and LVSI values of the patients with cervical cancer significantly improved the diagnostic efficiency of their lymph node metastasis (AUC=0.823, P<0.001). Conclusion: Establishing a nomogram model based on preoperative inflammatory indicators the patients with cervical cancer can accurately predict the risk of their lymph node metastasis, which can provide evidences for implementing the clinical diagnosis and treatment scheme.