Synergic value of 3D CT-derived body composition and triglyceride glucose body mass for survival prognostic modeling in unresectable pancreatic cancer
In this study, the proposed nomogram model (with web-based tool) enabled individualized prognostication of OS and could help to guide risk-adapted nutritional treatment for patients with unresectable PDAC or synchronous metastases.
Authors
- Xuejin Gao (ORCID: https://orcid.org/0000-0003-1474-4214)
- Junbo Zuo (ORCID: https://orcid.org/0009-0005-3196-574X)
- Kangjing Xu (ORCID: https://orcid.org/0000-0003-1905-276X)
- P. Zhou (ORCID: https://orcid.org/0000-0003-1268-2806)
- Li Zhang (ORCID: https://orcid.org/0000-0001-9446-6415)
- Xinbo Wang (ORCID: https://orcid.org/0000-0001-8524-9662)
- Chenghao Zeng
- Changsheng Zhou (ORCID: https://orcid.org/0000-0002-4297-364X)
Institutions
- Jiangsu University (CN)
- Nanjing General Hospital of Nanjing Military Command (CN)
- Affiliated Hospital of Jiangsu University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2025-03-19
- DOI
- https://doi.org/10.3389/fnut.2025.1499188
- Citations
- 2
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 2.09