Development and validation of a nomogram and risk stratification system to predict overall survival after surgical repair for pediatric patients with medulloblastoma based on easily accessible variables

C-H Fang ¹, C Wen , B Yang

⁰Department of Neurosurgery, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. bnscmc@shsmu.edu.cn.

European Review for Medical and Pharmacological Sciences +

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February 20, 2024

View abstract on PubMed

Summary

A new nomogram predicts survival for pediatric medulloblastoma patients after surgery. This tool helps stratify risk and personalize prognosis, aiding clinical decisions for better outcomes.

Area Of Science

Pediatric Oncology
Neurosurgery
Biostatistics

Background

Medulloblastoma is a common pediatric brain tumor requiring surgical intervention.
Accurate prediction of overall survival is crucial for treatment planning and patient management.
Existing prognostic tools may lack precision or accessibility for clinical use.

Purpose Of The Study

To develop and validate a nomogram for predicting overall survival in pediatric medulloblastoma patients post-surgery.
To establish a risk stratification system to categorize patients based on survival probability.
To provide a tool for individualized prognosis prediction in clinical practice.

Main Methods

Multicenter retrospective study including training and external validation datasets (2010-2022).
Univariable and multivariable Cox regression analyses to identify mortality predictors.
Nomogram development and validation using Area Under the Curve (AUC) and calibration curves.
Establishment of a risk stratification system based on median risk scores.

Main Results

Tumor size, brainstem involvement, and chemotherapy were identified as independent predictors of overall survival.
The nomogram demonstrated good discrimination (AUCs ranging from 0.70-0.77) and calibration in both training and validation datasets.
The risk stratification system effectively divided patients into distinct risk groups with significant survival differences.

Conclusions

A validated, noninvasive nomogram can accurately predict overall survival for pediatric medulloblastoma patients.
The developed risk stratification system aids in personalized prognosis and clinical decision-making.
This nomogram offers a practical, low-cost tool for improving patient care in pediatric neuro-oncology.