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Updated: Jun 29, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Nomogram for personalized prognostic assessment of children with favorable histology Wilms tumor: A retrospective
Zihong Wang1, Jiayi Li1, Pei Liu1
1Department of Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, China, 100045.
A new nomogram helps predict outcomes for favorable histology Wilms tumor (FHWT) patients. This tool uses clinical and pathological data to improve prognostic accuracy and guide treatment decisions for pediatric kidney cancer.
Area of Science:
- Pediatric Oncology
- Cancer Prognostics
- Wilms Tumor Research
Background:
- Favorable histology Wilms tumor (FHWT) requires accurate prognostic tools.
- Personalized risk assessment is crucial for optimizing treatment strategies.
Purpose of the Study:
- To develop and validate a nomogram for predicting event-free survival (EFS) in FHWT patients.
- To identify key clinical and pathological predictors of FHWT outcomes.
Main Methods:
- Retrospective analysis of 401 FHWT patients treated between 2007 and 2022.
- Univariate and multivariate Cox regression analyses to identify significant prognostic factors.
- Construction and validation of a predictive nomogram using identified variables.
Main Results:
- The nomogram incorporated age, stage, and histological risk as independent predictors of EFS.
- The nomogram demonstrated good calibration and high predictability (AUCs 0.85-0.88 for 1-5 year EFS).
- Older age (>2 years) and high-risk histology were associated with worse prognosis.
Conclusions:
- The developed nomogram is a valuable tool for assessing FHWT patient prognosis.
- Accurate staging and histological risk assessment are vital for informed clinical decision-making.
- The nomogram facilitates personalized treatment planning for pediatric kidney cancer.
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