Prognostic analysis and establishment of a nomogram of postoperative cervical cancer

Acta Universitatis Medicinalis Anhui 2022 04 v.57 631-635     font:big middle small

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Authors:Feng Yifan; Wu Shuwei; Li Yuyang; Li Min

Keywords:cervical cancer;prognosis;nomogram

DOI:10.19405/j.cnki.issn1000-1492.2022.04.023

〔Abstract〕 Objective To explore the prognostic factors of patients with cervical cancer and establish a nomogram to predict overall survival of patients with cervical cancer. Methods The information of age, pathological features, radiotherapy and chemotherapy of 513 patients with cervical cancer were collected. The Log-rank test and Cox regression models were used for analyzing overall survival of patients with cervical cancer. A nomogram was established based on the results of multivariate analysis. The C-index, calibration plots and receiver operating characteristic curves were used to evaluate the predictive ability and accuracy of the nomogram. Results A total of 456 patients were followed up in this study, 57 cases were lost to follow-up, the loss rate was 11.11%. As the results of univariate and multivariate analysis showed that the adenocarcinoma, poor differentiation, tumor size ≥4 cm, advanced stage, and no radiotherapy were independent risk factors for overall survival of cervical cancer. A nomogram for overall survival of cervical cancer was established based on multivariate analysis, and after validated, the C-index of the nomogram was 0.83. Meanwhile, the 1-, 3-, 5-year calibration plots of the nomogram matched the 45-degree line well. In addition, the 1-, 3-, 5-year AUC values of the nomogram were 0.836, 0.847 and 0.824, respectively. Conclusion Based on the results of multivariate analysis, the five prognostic factors of cervical cancer, including histological type, cell differentiation, tumor size, stage, and radiotherapy were used to establish a nomogram with good predictive ability and accuracy. The establishment of the overall survival nomogram of cervical cancer was useful for gynecological oncologists to make a more accurate assessment of the prognosis of patients with cervical cancer and guide the clinical individualized treatment.