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Related Experiment Video

Updated: Sep 15, 2025

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Development and Internal-External Validation Models for Cervical Cancer Overall Survival Prognosis: A SEER-Based

Yao Shi1, Jia-Nan Xu1, Qi-Qin Wang1

  • 1Department of Obstetrics and Gynecology, Yangming Hospital Affiliated to Ningbo University, Yuyao, Zhejiang, People's Republic of China.

International Journal of Women'S Health
|July 18, 2025
PubMed
Summary

A new nomogram model accurately predicts overall survival (OS) for cervical cancer (CC) patients. This tool aids clinicians in personalizing treatment strategies and improving patient outcomes for cervical cancer.

Keywords:
DCAROCcalibration chartcervical cancernomogramoverall survival

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Area of Science:

  • Oncology
  • Medical Statistics
  • Cancer Prognostics

Background:

  • Cervical cancer (CC) remains a significant global health concern.
  • Accurate prediction of overall survival (OS) is crucial for effective CC management.
  • Existing prognostic models may require enhancement for improved clinical utility.

Purpose of the Study:

  • To develop and validate a predictive model for overall survival (OS) in cervical cancer (CC) patients.
  • To construct a nomogram for estimating 3-year, 5-year, and 10-year OS probabilities.
  • To provide a tool for personalized risk assessment and clinical decision-making in CC.

Main Methods:

  • Utilized a large cohort of 13,592 CC patients from the SEER database (2000-2020).
  • Employed univariate and multivariate Cox regression analysis to identify prognostic factors.
  • Developed a nomogram using a training cohort (n=9,514) and validated it internally (n=4,078) and externally (n=318).

Main Results:

  • Identified six key predictors: age, tumor grade, stage, size, lymph node metastasis (LNM), and lymph vascular space invasion (LVSI).
  • The nomogram demonstrated high predictive accuracy with C-indices ranging from 0.872 to 0.885.
  • Areas under the curve (AUC) for 3-, 5-, and 10-year OS were consistently high across training, internal, and external validation cohorts (0.892-0.916).

Conclusions:

  • The developed nomogram is a reliable and validated tool for predicting OS in cervical cancer patients.
  • This prognostic model can be integrated into clinical practice to support personalized treatment planning.
  • The nomogram facilitates improved estimation of survival probabilities, aiding healthcare professionals in optimizing patient care for CC.