[HTML][HTML] Systematic metareview of prediction studies demonstrates stable trends in bias and low PROBAST inter-rater agreement

LFS Langenhuijsen, RJ Janse, E Venema… - Journal of Clinical …, 2023 - Elsevier
Objectives To (1) explore trends of risk of bias (ROB) in prediction research over time
following key methodological publications, using the Prediction model Risk Of Bias …

Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and …

C Lee, A Light, A Alaa, D Thurtle… - The Lancet Digital …, 2021 - thelancet.com
Background Accurate prognostication is crucial in treatment decisions made for men
diagnosed with non-metastatic prostate cancer. Current models rely on prespecified …

Differential gene expression and weighted correlation network dynamics in high-throughput datasets of prostate cancer

T Mohammad, P Singh, DS Jairajpuri… - Frontiers in …, 2022 - frontiersin.org
Precision oncology is an absolute need today due to the emergence of treatment resistance
and heterogeneity among cancerous profiles. Target-propelled cancer therapy is one of the …

[HTML][HTML] An actionable expert-system algorithm to support nurse-led cancer survivorship care: algorithm development study

KJ Pfisterer, R Lohani, E Janes, D Ng, D Wang… - JMIR cancer, 2023 - cancer.jmir.org
Background Comprehensive models of survivorship care are necessary to improve access
to and coordination of care. New models of care provide the opportunity to address the …

Urokinase-type plasminogen activator receptor (uPAR) PET/MRI of prostate cancer for noninvasive evaluation of aggressiveness: comparison with Gleason score in a …

MØ Fosbøl, S Kurbegovic… - Journal of Nuclear …, 2021 - Soc Nuclear Med
The aim of this study was to evaluate the correlation between uptake of the PET ligand 68Ga-
NOTA-AE105, targeting the urokinase-type plasminogen activator receptor (uPAR), and …

Adaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer

AC Justice, JP Tate, F Howland, JM Gaziano… - European Urology …, 2024 - Elsevier
Background An electronic health record–based tool could improve accuracy and eliminate
bias in provider estimation of the risk of death from other causes among men with …

Virtual care for prostate cancer survivorship: protocol for an evaluation of a nurse-led algorithm-enhanced virtual clinic implemented at five cancer centres across …

Q Pham, J Hearn, JL Bender, A Berlin, I Brown… - BMJ open, 2021 - bmjopen.bmj.com
Introduction Prostate cancer (PCa) is the most common cancer in Canadian men. Current
models of survivorship care are no longer adequate to address the chronic and complex …

Oncologic outcomes after localized prostate cancer treatment: associations with pretreatment prostate magnetic resonance imaging findings

AG Wibmer, J Chaim, Y Lakhman… - The Journal of …, 2021 - auajournals.org
Purpose: We investigated whether T2-weighted magnetic resonance imaging findings could
improve upon established prognostic indicators of metastatic disease and prostate cancer …

Impregnation of curcumin into a biodegradable (poly-lactic-co-glycolic acid, PLGA) support, to transfer its well known in vitro effect to an in vivo prostate cancer model

E Gracia, A Mancini, A Colapietro, C Mateo, I Gracia… - Nutrients, 2019 - mdpi.com
Prostate cancer (PCa) is one of the most common cancers in older men and is associated
with high mortality. Despite advances in screening for early detection of PCa, a large …

The efficacy of different biomarkers and endpoints to refine referrals for suspected prostate cancer: the TARGET study (Tiered integrAted tests for eaRly diaGnosis of clinically …

A Lophatananon, KR Muir, VJ Gnanapragasam - BMC medicine, 2024 - Springer
Background The majority of men referred with a raised PSA for suspected prostate cancer
will receive unnecessary tertiary investigations including MRI and biopsy. Here, we …