Comparison of Joint and Landmark Modeling for Predicting Cancer Progression in Men With Castration-Resistant Prostate Cancer: A Secondary Post Hoc Analysis of the PREVAIL Randomized Clinical Trial

IMPORTANCE: Dynamic prediction models may help predict radiographic disease progression in advanced prostate cancer. OBJECTIVE: To assess whether dynamic prediction models aid prognosis of radiographic progression risk, using ongoing longitudinal prostate-specific antigen (PSA) assessments. DESIGN,...

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Detalles Bibliográficos
Autores principales: Finelli, Antonio, Beer, Tomasz M., Chowdhury, Simon, Evans, Christopher P., Fizazi, Karim, Higano, Celestia S., Kim, Janet, Martin, Lisa, Saad, Fred, Saarela, Olli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207237/
https://www.ncbi.nlm.nih.gov/pubmed/34129025
http://dx.doi.org/10.1001/jamanetworkopen.2021.12426

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207237/
https://www.ncbi.nlm.nih.gov/pubmed/34129025
http://dx.doi.org/10.1001/jamanetworkopen.2021.12426

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