Publications by authors named "J Krebs"

Background: Cancer and diabetes are increasingly prevalent, and it is not unusual for an individual to have both conditions at the same time. This occurrence has significant ramifications to the person, the clinical team providing care, and the broader health system.

Research Design And Methods: For the period 2006-2019, we used national-level diabetes (Virtual Diabetes Register) and cancer (New Zealand Cancer Registry) data on nearly five million individuals over 44 million person-years of follow-up.

View Article and Find Full Text PDF
Article Synopsis
  • The study focuses on adherence to imaging surveillance for patients with uncomplicated type B aortic dissections (uTBAD), highlighting its importance for preventing complications and long-term mortality.
  • A total of 152 patients were analyzed, revealing that 46% underwent imaging surveillance, with no significant demographic differences between those who did and those who didn't.
  • Factors influencing adherence included a higher prevalence of prior cardiovascular surgery in patients without surveillance, while those with surveillance had higher rates of being discharged home after hospital transfers.
View Article and Find Full Text PDF

Herein, we simultaneously synthesized three different double B←N Lewis pair-functionalized naphthalenes including the asymmetric BNNY and BNNO and the mirror-symmetric BNNR, via a one-pot method. The annulation modes of the B←N Lewis pairs and the substituents on the boron atoms efficiently tune the molecular frontier orbitals and emission colors. α-Position fusion leads to a significant enhancement of the HOMO energy level and a decrease in the HOMO-LUMO gap, while the electron-withdrawing groups attached to the boron atom make the LUMO energy level more stable.

View Article and Find Full Text PDF
Article Synopsis
  • Advances in medical imaging and endovascular techniques enable less invasive treatments for aortic diseases, but accurate 3D segmentation of the aorta is vital for effective surgical planning.
  • The paper presents Context-Infused Swin-UNet (CIS-UNet), a deep learning model that enhances multi-class segmentation by effectively distinguishing the aorta and its thirteen branches through a new Context-aware Shifted Window Self-Attention (CSW-SA) module.
  • CIS-UNet outperformed existing models in segmentation accuracy, achieving a mean Dice coefficient of 0.732 in evaluations using CT scans from 59 patients, and the researchers will share their dataset and code publicly.
View Article and Find Full Text PDF

Background: An increasing number of studies in recent years investigate various dietary and lifestyle patterns and associated breast cancer (BC) risk.

Objectives: This study aimed to comprehensively synthesize and grade the evidence on dietary and lifestyle patterns and BC risk.

Methods: Databases were systematically searched up to 31 March, 2022, for evidence from randomised controlled trials and prospective cohort studies on adherence to a dietary pattern alone or in combination with lifestyle behaviors and incidence of or mortality from primary BC in adult females.

View Article and Find Full Text PDF

A PHP Error was encountered

Severity: Warning

Message: fopen(/var/lib/php/sessions/ci_sessionufd5hd8j6pl8d8rje3k3lgccrsu3r94e): Failed to open stream: No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 177

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_start(): Failed to read session data: user (path: /var/lib/php/sessions)

Filename: Session/Session.php

Line Number: 137

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once