Development and validation of machine learning prognostic models for overall survival in non-surgical prostate cancer patients with bone metastases

The EST model effectively assesses OS in nonsurgical PCBM. The Gleason score holds greater prognostic value than local anatomical staging in this cohort, suggesting clinicians should prioritize early, aggressive combination treatments for high-Gleason, high-burden patients.

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Publication Details

Journal
The Aging Male
Published
2026-03-16
DOI
https://doi.org/10.1080/13685538.2026.2644725
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of machine learning prognostic models for overall survival in non-surgical prostate cancer patients with bone metastases

Y Q Li, S. Li, Erhao Bao, Yang Yang et al.
The Aging Male
Prostate Cancer Diagnosis and Treatment
article

Development and validation of machine learning prognostic models for overall survival in non-surgical prostate cancer patients with bone metastases

Y Q Li, S. Li, Erhao Bao, Yang Yang, Ben Wang, Qingsong Du, Qilin Yang
article en

Abstract

The EST model effectively assesses OS in nonsurgical PCBM. The Gleason score holds greater prognostic value than local anatomical staging in this cohort, suggesting clinicians should prioritize early, aggressive combination treatments for high-Gleason, high-burden patients.

The Aging MaleVol. 29(1)
North Sichuan Medical University (CN), Fourth People's Hospital of Sichuan Province (CN), Sichuan Provincial Hospital of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 19%
Prostate Cancer Diagnosis and Treatment
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