Development and external validation of a machine learning-based prognostic model for small cell neuroendocrine cervical carcinoma: a multi-center study
The SCR model has potential in predicting the prognosis of SCNECC, providing clinicians with decision support to identify high-risk patients, optimize treatment strategies, and ultimately improve clinical outcomes.
Authors
- Qin Xu (ORCID: https://orcid.org/0000-0003-1812-3108)
- Huaiwu Lu (ORCID: https://orcid.org/0000-0002-7668-3333)
- Lele Chang (ORCID: https://orcid.org/0000-0002-1305-9058)
- Jing Liu (ORCID: https://orcid.org/0000-0001-7100-9078)
- Cong Wang (ORCID: https://orcid.org/0000-0002-0503-0597)
- Huaqin Lin
- Yaxin Kang (ORCID: https://orcid.org/0009-0009-7585-5250)
Institutions
- Fujian Medical University (CN)
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Fujian Provincial Cancer Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1186/s12885-025-15338-8
- Primary Topic
- Neuroendocrine Tumor Research Advances
- Type
- article
- Field-Weighted Citation Impact
- 0.00