Training and validation of a nomogram for predicting synchronous distant organ metastasis in patients with very-early-onset colorectal cancer
The predictive nomogram, derived from demographic, clinical, and pathological data from the SEER database, provides an estimation of the DOM risk in VEO-CRC patients. This is a promising tool to improve outcomes for young patients by assisting physicians in early risk stratification and bespoke treatment planning. At prespecified risk thresholds, the predicted probabilities may assist early risk stratification and inform imaging and follow-up decisions, though their clinical application will require confirmation through rigorous external validation.
Authors
- Jianbiao Xiao
- Ying Wen (ORCID: https://orcid.org/0000-0001-7028-8124)
- Yaowei Zhang (ORCID: https://orcid.org/0000-0001-7756-6756)
- Zhemin Li
- Yi Ding
- Jinyu Huang
- Huilian Zhang
- Yuqin Zhang
Institutions
- Nanfang Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Journal of Gastrointestinal Oncology
- Published
- 2026-01-21
- DOI
- https://doi.org/10.21037/jgo-2025-733
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00