Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Introduction: Managing pathologically node positive (pN+) prostate cancer (PCa) is controversial. We describe temporal patterns and predictors of pN+ PCa in men with initially surgically managed clinically node negative (cN-) PCa.

Materials And Methods: This observational retrospective analysis of nonmetastatic, cN- PCa uses the National Cancer Database. Multivariable logistic regression was used to identify covariates associated with pN+ disease. Cox proportional hazards modeling and Kaplan-Meier analysis were used to evaluate survival patients undergoing radical prostatectomy with or without pelvic lymph node dissection (PLND).

Results: The rates of radical prostatectomy in men with grade group (GG) 4 and GG5 increased from 47.6% to 53.1% and from 42.5% to 49.5%, respectively. The annual rate increased from 2.02% in 2010 to 5.12% in 2017 (P < .001). The annual rates of PLND increased from 54.3% to 71.7%. The most significant predictor of pN+ PCa was ISUP GG4 (odds ratio [OR] 12.5, P< .001) and GG 5 (OR 26.2, P < .001). Rates of pN+ identification increased from 5.5% to 9.4% in men with GG4 and from 13.4% to 19.5% in men with GG5 (P< .001). In GG4 and GG5, patients undergoing PLND had superior survival to those managed without PLND (P < .01).

Conclusion: Among patients with cN- PCa, the diagnosis of pN+ PCa has become more common over time. GG4 and GG5 are the strongest independent predictors of pN+ disease. Because incidental pN+ results in upstaging these data are useful for informing discussions before radical prostatectomy.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.clgc.2021.05.003DOI Listing

Publication Analysis

Top Keywords

pn+ pca
12
radical prostatectomy
12
prostate cancer
8
pn+
8
predictors pn+
8
cn- pca
8
pn+ disease
8
patients undergoing
8
gg4 gg5
8
pca
6

Similar Publications

In ports and coastal areas, ship engines frequently operate under aggressive, transient conditions such as manoeuvring, which contribute significantly to gaseous and particulate emissions. To address these dynamics, this study investigates diesel exhaust behaviour during acceleration using a six-cylinder testbed engine. A custom driving cycle was developed to emulate propeller law-based transient cycles across varying rates of rotational speed change and load conditions.

View Article and Find Full Text PDF

Induced mutation plays an integral part in plant breeding as it introduces new variability among the population. A study was conducted in cowpeas [ (L.) Walp] to assess the yield divergence, heritability, genetic advance, and correlation among the M5 Tswana cowpea mutants.

View Article and Find Full Text PDF

Objectives: This study aimed to investigate the long-term oncological outcomes of Grade Group (GG) 4 and 5 Prostate Cancer (PCa) diagnosed by prostate biopsy who underwent robotic-assisted radical prostatectomy (RARP).

Methods: We retrospectively reviewed our database for those who had clinically localized GG 4 and 5 PCa discovered on prostate biopsy who underwent RARP before January 1, 2018. Demographic and clinical data was collected.

View Article and Find Full Text PDF

Context: The unregulated use of anionic surfactants poses significant environmental risks, necessitating methods for their rapid and accurate identification. While fluorescence spectroscopy is a powerful tool, its application faces a critical challenge: existing analytical strategies either rely on complex and costly sensor arrays to acquire rich data, or they apply traditional machine learning to simpler, single-spectrum data, which often requires pre-processing steps like PCA that risk information loss. Furthermore, standard deep learning approaches are often unsuitable due to the high cost and effort required to acquire the large datasets they need for training.

View Article and Find Full Text PDF

Background: The clinical status and treatment response of patients with peripheral neuropathies (PNs) rely on subjective and inaccurate clinical scales. Wearable sensors have been evaluated successfully in other neurological conditions to study gait and balance. Our aim was to explore the ability of biomechanical analysis using wearable technology to monitor disease activity in PN.

View Article and Find Full Text PDF