Medication Prescription Policy for US Veterans With Metastatic Castration-Resistant Prostate Cancer: Causal Machine Learning Approach
This study of 2886 veterans showed evidence of heterogeneity and that survival days may be improved for certain patients with mCRPC based on the medication prescribed. Findings suggest that prescription rules based on the patient characteristics, laboratory test results, and comorbidities available to the physician at the time of prescription could improve survival by providing personalized treatment decisions.
Authors
- Martin William Schoen (ORCID: https://orcid.org/0000-0001-6388-5553)
- Nirup M. Menon (ORCID: https://orcid.org/0000-0002-0544-5127)
- Deepika Gopukumar (ORCID: https://orcid.org/0000-0003-0820-5986)
Institutions
- George Mason University (US)
- St. Louis VA Medical Center (US)
- Saint Louis University (US)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2024-11-19
- DOI
- https://doi.org/10.2196/59480
- Primary Topic
- Prostate Cancer Treatment and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00