Analysis of risk factors for liver metastasis in patients with gastric cancer and construction of prediction model: A multicenter study
By innovatively introducing a new tumor location classification method, systemic inflammatory response indicators such as NLR and PLR, and nutritional index OPNI, the risk factors of gastric cancer liver metastasis were determined and a predictive Nomogram model was established, which can provide clinical prediction for patients with gastric cancer liver metastasis.
Authors
- Qiongyuan Hu (ORCID: https://orcid.org/0000-0002-3231-128X)
- Shichao Ai (ORCID: https://orcid.org/0000-0002-9691-0281)
- Xiaofei Shen (ORCID: https://orcid.org/0000-0002-5816-1814)
- Chunhua Bai
- Peng Song
- Junfeng Du (ORCID: https://orcid.org/0000-0002-8482-4271)
- Xiaofeng Lu (ORCID: https://orcid.org/0000-0003-0151-1630)
- Hang Jiang (ORCID: https://orcid.org/0000-0002-8060-6592)
- Wenxian Guan
- Yi Yin
- Feng Sun
- Song Liu (ORCID: https://orcid.org/0000-0002-4780-9697)
- Heng Yu (ORCID: https://orcid.org/0000-0003-4391-7233)
- Xin Chen (ORCID: https://orcid.org/0000-0002-5579-0447)
Institutions
- Nanjing Normal University (CN)
- Xuzhou Medical College (CN)
- Chinese PLA General Hospital (CN)
- Nanjing Drum Tower Hospital (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1007/s12672-024-01246-z
- Citations
- 2
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Nanjing Drum Tower Hospital