JOURNAL ARTICLE
Development of a Nomogram and Risk Grouping System for Predicting 1-Year Overall Survival of Patients With Atypical Teratoid/Rhabdoid Tumors.
Published In: Journal of Child Neurology, 2025, v. 40, n. 3. P. 153 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kang, Xu; Zhou, Yabing; Shen, Fangjie; Feng, Jiaqi; Wang, Yunkun; Ma, Jie; Qiang, Qiang; Wang, Xiaoqiang 3 of 3
Abstract
This article focuses on the development of a clinical nomogram and risk grouping system to predict 1-year overall survival in pediatric patients with atypical teratoid/rhabdoid tumor (AT/RT), a rare and aggressive central nervous system malignancy. Using data from 54 patients treated at Xinhua Hospital affiliated with Shanghai Jiaotong University School of Medicine, the study identified age at diagnosis, extent of tumor resection, radiotherapy, and chemotherapy as independent prognostic factors incorporated into the nomogram. The model demonstrated good predictive accuracy (concordance index of 0.781) and was used to stratify patients into low-, intermediate-, and high-risk groups with significantly different survival outcomes. This tool aims to support personalized prognostic evaluation and guide treatment decisions, though further validation in larger, multicenter cohorts is needed.
Additional Information
- Source:Journal of Child Neurology. 2025/03, Vol. 40, Issue 3, p153
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:0883-0738
- DOI:10.1177/08830738241281393
- Accession Number:183687065
- Copyright Statement:Copyright of Journal of Child Neurology is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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