Development and external validation of a predictive model for lung metastases in kidney cancer based on clinical and laboratory features
This nomogram-based model offers an efficient and accessible tool for the early detection of kidney cancer patients at risk for LMs. It enables individualized risk stratification and may assist in optimizing clinical decision-making and improving patient outcomes. Further prospective validation is warranted.
Authors
- Wei Cong (ORCID: https://orcid.org/0000-0003-3379-1446)
- Dingwei Ye (ORCID: https://orcid.org/0000-0001-7770-9753)
- Zhe Hong (ORCID: https://orcid.org/0000-0001-5942-4893)
- Ruonan Tan
- Zhi Shang (ORCID: https://orcid.org/0000-0002-1413-0039)
Institutions
- Shanghai Medical College of Fudan University (CN)
- Fudan University Shanghai Cancer Center (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Shanghai Cancer Institute (CN)
- Shanghai Traditional Chinese Medicine Hospital (CN)
Publication Details
- Journal
- Clinical and Experimental Medicine
- Published
- 2025-08-14
- DOI
- https://doi.org/10.1007/s10238-025-01839-0
- Citations
- 1
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- National Natural Science Foundation of China