Identifying predictive factors for recurrence risk in pediatric craniopharyngioma after surgery using a clinical prediction model

Our proposed nomogram accurately predicts risk factors for postoperative CO-CP recurrence. By incorporating LASSO-selected endocrinological variables, it builds on prior classifications such as Puget et al. (2007) and may serve as a practical tool for identifying patients at increased risk of recurrence.

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Publication Details

Journal
Discover Oncology
Published
2025-11-25
DOI
https://doi.org/10.1007/s12672-025-03900-6
Primary Topic
Pituitary Gland Disorders and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying predictive factors for recurrence risk in pediatric craniopharyngioma after surgery using a clinical prediction model

Liyong Zhong, Lihua Tian
Discover Oncology
Pituitary Gland Disorders and Treatments
article

Identifying predictive factors for recurrence risk in pediatric craniopharyngioma after surgery using a clinical prediction model

Liyong Zhong, Lihua Tian
article en

Abstract

Our proposed nomogram accurately predicts risk factors for postoperative CO-CP recurrence. By incorporating LASSO-selected endocrinological variables, it builds on prior classifications such as Puget et al. (2007) and may serve as a practical tool for identifying patients at increased risk of recurrence.

Discover OncologyVol. 16(1)
Beijing Tian Tan Hospital (CN)
Openalex Percentile: Top 51%
Pituitary Gland Disorders and Treatments
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Identifying predictive factors for recurrence risk in pediatric craniopharyngioma after surgery using a clinical prediction model — Liyong Zhong, Lihua Tian · Discover Oncology (2025) | TGRS Research Map | TGRS