The state of the science on prostate cancer biomarkers: the San Francisco consensus statement
At every point along the prostate cancer continuum of care, from early detection through to
advanced disease, a man must face decisions that may have a direct impact on his long …
advanced disease, a man must face decisions that may have a direct impact on his long …
Prognostic and predictive factors in prostate cancer: historical perspectives and recent international consensus initiatives
JR Srigley, M Amin, L Boccon-Gibod… - … Journal of Urology …, 2005 - Taylor & Francis
An understanding of prognosis in cancer medicine is important for patient care, research
and cancer control programs. In prostate cancer, prognostic (predictive) factors are …
and cancer control programs. In prostate cancer, prognostic (predictive) factors are …
[PDF][PDF] Guidelines on prostate cancer
N Mottet, J Bellmunt, E Briers… - … Association of Urology, 2015 - file.medtrib.cn
Please note that this text presents an abridged version of the full text Prostate Cancer (PCa)
guidelines and consultation of the more detailed, underlying document, is strongly advised …
guidelines and consultation of the more detailed, underlying document, is strongly advised …
Prostate cancer, version 4.2023, NCCN clinical practice guidelines in oncology
EM Schaeffer, S Srinivas, N Adra, Y An… - Journal of the National …, 2023 - jnccn.org
The NCCN Guidelines for Prostate Cancer provide a framework on which to base decisions
regarding the workup of patients with prostate cancer, risk stratification and management of …
regarding the workup of patients with prostate cancer, risk stratification and management of …
Stratification of high-risk prostate cancer into prognostic categories: a European multi-institutional study
Background High-risk prostate cancer (PCa) is an extremely heterogeneous disease. A
clear definition of prognostic subgroups is mandatory. Objective To develop a pretreatment …
clear definition of prognostic subgroups is mandatory. Objective To develop a pretreatment …
Predicting prostate cancer death with different pretreatment risk stratification tools: a head-to-head comparison in a nationwide cohort study
R Zelic, H Garmo, D Zugna, P Stattin, L Richiardi… - European urology, 2020 - Elsevier
Background Numerous pretreatment risk classification tools are available for prostate
cancer. Which tool is best in predicting prostate cancer death is unclear. Objective To …
cancer. Which tool is best in predicting prostate cancer death is unclear. Objective To …
Artificial intelligence predictive model for hormone therapy use in prostate cancer
Background Androgen deprivation therapy (ADT) with radiotherapy can benefit patients with
localized prostate cancer. However, ADT can negatively impact quality of life, and there …
localized prostate cancer. However, ADT can negatively impact quality of life, and there …
[HTML][HTML] Pre-treatment risk stratification of prostate cancer patients: A critical review
Methods: A systematic literature search was conducted to identify original research
publications and review articles on prognostic factors and risk stratification in prostate …
publications and review articles on prognostic factors and risk stratification in prostate …
Prognostic and predictive factors in prostate cancer
FC Hamdy - Cancer treatment reviews, 2001 - Elsevier
Prostate cancer is a major public health problem in the Western world, and the second most
common male malignancies in the European Union. Detection of the disease is possible at …
common male malignancies in the European Union. Detection of the disease is possible at …
Individual prognosis at diagnosis in nonmetastatic prostate cancer: Development and external validation of the PREDICT Prostate multivariable model
DR Thurtle, DC Greenberg, LS Lee, HH Huang… - PLoS …, 2019 - journals.plos.org
Background Prognostic stratification is the cornerstone of management in nonmetastatic
prostate cancer (PCa). However, existing prognostic models are inadequate—often using …
prostate cancer (PCa). However, existing prognostic models are inadequate—often using …