Quantifying Suicide Risk in Prostate Cancer: A SEER-Based Predictive Model
We developed a applicable nomogram for the individualized quantification of suicide risk in prostate cancer patients. This model provides clinicians with a robust tool for identifying high-risk patients and implementing timely interventions.
Authors
- Jiaxiang Du (ORCID: https://orcid.org/0009-0005-3798-284X)
- Sujun Chen
- Xue Lu
- Fen Zhang (ORCID: https://orcid.org/0000-0002-5384-8019)
- Hao Yu (ORCID: https://orcid.org/0000-0003-2793-7912)
- Jian Zeng (ORCID: https://orcid.org/0000-0002-4565-920X)
- Weinan Zheng
Institutions
- Guangdong Medical College (CN)
- Dongguan People’s Hospital (CN)
Publication Details
- Journal
- Journal of Epidemiology and Global Health
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1007/s44197-025-00384-z
- Citations
- 2
- Primary Topic
- Cancer survivorship and care
- Type
- article
- Field-Weighted Citation Impact
- 2.09