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Updated: Feb 1, 2026
06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
911
Nomogram-based prediction of cervical dysplasia persistence/recurrence.
Giorgio Bogani1, Elena Tagliabue1, Stefano Ferla1
1Department of Gynecologic Oncology.
Summary
This study developed two nomograms to predict cervical dysplasia recurrence after conization. Key predictors include HIV infection, positive margins, and persistent high-risk human papillomavirus (HPV) types, aiding tailored patient surveillance.
Area of Science:
- Gynecology
- Oncology
- Virology
Background:
- Cervical dysplasia screening identifies precancerous lesions.
- Persistence or recurrence of cervical dysplasia post-conization is a significant clinical concern.
- Predicting recurrence risk is crucial for effective patient management.
Purpose of the Study:
- To identify predictors of cervical dysplasia persistence/recurrence following primary conization.
- To develop nomograms for estimating the risk of cervical dysplasia recurrence.
- To assess the impact of baseline, operative, and HPV-specific factors on recurrence.
Main Methods:
- Retrospective analysis of 1503 women with high-risk human papillomavirus (HPV) undergoing conization.
- Kaplan-Meier and Cox's hazard models to assess recurrence risk.
- Development and validation of two risk-prediction nomograms using concordance index.
Main Results:
- HIV infection, positive surgical margins, and persistent HPV infection were significant predictors of recurrence.
- Specific HPV types (HPV16, 18, 33, 35, 45) were strongly associated with recurrence.
- Both developed nomograms demonstrated good predictive performance (concordance index > 0.70).
Conclusions:
- The study presents the first two nomograms to predict cervical dysplasia recurrence risk after conization.
- Identified predictors and developed nomograms can aid in tailoring postoperative surveillance strategies.
- External validation of these nomograms is recommended for broader clinical application.
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