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Purpose: To evaluate urinary continence (UC) recovery and oncological outcomes in different risk-groups after robot-assisted radical prostatectomy (RALP) and open retropubic radical prostatectomy (RRP). Patients and methods: We analysed 2650 men with prostate cancer from seven open (n = 805) and seven robotic (n = 1845) Swedish centres between 2008 and 2011 in a prospective non-randomised trial, L

Purpose: In addition to incisional hernia, inguinal hernia is a recognized complication to radical retropubic prostatectomy. To compare the risk of developing inguinal and incisional hernias after open radical prostatectomy compared to robot-assisted laparoscopic prostatectomy. Method: Patients planned for prostatectomy were enrolled in the prospective, controlled LAPPRO trial between September 20

Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big Data in Europe (PIONEER) is a European network of excellence for big data in prostate cancer, consisting of 32 private and public stakeholders from 9 countries across Europe. Launched by the Innovative Medicines Initiative 2 and part of the Big Data for Better Outcomes Programme (BD4BO), the overarching goal of PIONEER is

Background: Lower urinary tract symptoms due to benign prostate enlargement (LUTS/BPE) can lead to significant disturbances to health-related quality of life (HRQoL) and psychological well-being. The aim of this study was to evaluate the effect of pharmacological treatment of LUTS/BPE on disease specific and generic QOL measures. Methods: Evolution was a European prospective, multicenter multi-nat

Objectives: To evaluate how surgeon heterogeneity – the variation in outcomes between individual surgeons – influences functional and oncological outcomes after robot-assisted laparoscopic prostatectomy (RALP) and retropubic radical prostatectomy (RRP), and to assess whether surgeon heterogeneity affects the comparison between RALP and RRP. Patients and Methods: Laparoscopic Prostatectomy Robot Op

Background: To use the European Association of Urology Research Foundation (EAURF) registry data to determine the proportion of contemporary Lower Urinary Tract Symptoms associated with Benign Prostatic Enlargement (LUTS/BPE) patients prescribed phytotherapy, and to determine their subjective quality of life and clinical progression responses. Methods: This was a prospective multicenter multinatio

Purpose: Differences exist concerning when and how to perform lymph node dissection (LND) during radical prostatectomy due to lack of high-grade evidence to its safety and efficacy. We aimed to compare readmission rates between limited and extended LND during open radical prostatectomy (ORP) and robot-assisted radical prostatectomy (RARP). Materials and methods: We conducted a prospective trial of

This publication describes a concept that intends to enable an optimization of machining with regard to the balance between criteria related to technology, economy and sustainability. The work is of a discussion nature and intends to provide a framework for further research and development in the area. Previous research and development during the 80's and 90's is presented in general terms and in

Background: Artificial intelligence (AI) systems can potentially aid the diagnostic pathway of prostate cancer by alleviating the increasing workload, preventing overdiagnosis, and reducing the dependence on experienced radiologists. We aimed to investigate the performance of AI systems at detecting clinically significant prostate cancer on MRI in comparison with radiologists using the Prostate Im

Cardiometabolic disease is a major threat to global health. Precision medicine has great potential to help to reduce the burden of this common and complex disease cluster, and to enhance contemporary evidence-based medicine. Its key pillars are diagnostics; prediction (of the primary disease); prevention (of the primary disease); prognosis (prediction of complications of the primary disease); trea

Standardized Cancer Patient Pathways (CPPs) were introduced in Swedish healthcare starting in 2015 to improve diagnostics for patients with symptoms of cancer, patient satisfaction and equity of care between healthcare providers. An inclusion target and a time target were set. Our primary aim was to visualize the patient population going through CPPs, in terms of investigation time and indications

Background: As a widely distributed and aerial migratory bird, the Common Swift (Apus apus) flies over a wide geographic range in Eurasia and Africa during migration. Although some studies have revealed the migration routes and phenology of European populations, A. a. apus (from hereon the nominate apus), the route used by its East Asian counterpart A. a. pekinensis (from hereon pekinensis) remain

Aim: Understanding the spatial ecology of animal movements is a critical element in conserving long-lived, highly mobile marine species. Analyzing networks developed from movements of six sea turtle species reveals marine connectivity and can help prioritize conservation efforts. Location: Global. Methods: We collated telemetry data from 1235 individuals and reviewed the literature to determine ou

This paper provides reflections on transdisciplinary knowledge coproduction and experimentation processes from sustainability researcher perspectives. It centers on a 5-year period of collaborative research with small- and medium-sized enterprises in an Urban Living Lab in the Swedish craft beer sector. Nine reflections cover a variety of issues and potentials encountered during numerous interacti

Recurrent pregnancy loss (RPL), defined as three or more consecutive miscarriages, is hypothesized to share some of the same pathogenic factors as placenta-associated disorders. It has been hypothesized that a defect implantation causes pregnancy loss, while a partially impaired implantation may lead to late pregnancy complications. The aim of this retrospective register-based cohort study was to

Purpose: The application of automated image analyses could improve and facilitate standardization and consistency of quantification in [18F]DCFPyL (PSMA) PET/CT scans. In the current study, we analytically validated aPROMISE, a software as a medical device that segments organs in low-dose CT images with deep learning, and subsequently detects and quantifies potential pathological lesions in PSMA P

Despite a large number of studies, out of all drivers of radiative forcing, the effect of aerosols has the largest uncertainty in global climate model radiative forcing estimates. There have been studies of aerosol optical properties in climate models, but the effects of particle number size distribution need a more thorough inspection. We investigated the trends and seasonality of particle number