A multi-algorithm prognostic model combining inflammatory indices and surgical features in distal cholangiocarcinoma
A preoperative dNLR > 1.60 is an independent risk factor associated with poor prognosis in patients with dCCA. The clinical prediction model based on machine learning incorporating dNLR effectively predicts postoperative outcomes in this patient population.
Authors
- Xinyue Mu
- Panpan Zhai (ORCID: https://orcid.org/0000-0003-2239-1308)
- Shan Zhang (ORCID: https://orcid.org/0000-0002-3568-329X)
- Yin Yi (ORCID: https://orcid.org/0000-0002-4411-6000)
- Lu Bai (ORCID: https://orcid.org/0009-0000-7361-8926)
Institutions
- First Affiliated Hospital of Henan University of Traditional Chinese Medicine (CN)
- First Affiliated Hospital of Henan University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-07-21
- DOI
- https://doi.org/10.3389/fonc.2025.1625703
- Primary Topic
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Henan University