No trend to rising rates: A review of Parkinson's prevalence studies in the United Kingdom.

Background: Of the neurodegenerative diseases, Parkinson's disease is recognised to have the fastest growing prevalence. It is unclear whether this is due to the ageing global population alone, with several environmental factors increasingly implicated in changing prevalence rates. Large data sets have been used nationally and globally to help predict future disease burden.

Remote feedback in endovascular simulation training: a mixed-methods study.

Background: There is an increasing need to increase simulation-based learning opportunities for vascular surgery residents in endovascular skills training. This study aims to explore the effectiveness of remote expert instructional feedback of endovascular simulation-based education, as a means of increasing training opportunities in this area for vascular surgery residents.

Methods: A mixed-methods study design was adopted.

Open and reusable deep learning for pathology with WSInfer and QuPath.

Digital pathology has seen a proliferation of deep learning models in recent years, but many models are not readily reusable. To address this challenge, we developed WSInfer: an open-source software ecosystem designed to streamline the sharing and reuse of deep learning models for digital pathology. The increased access to trained models can augment research on the diagnostic, prognostic, and predictive capabilities of digital pathology.

Defective Visceral Adipose Tissue Adaptation in Gestational Diabetes Mellitus.

Context: Gestational diabetes mellitus (GDM) is a complex obstetric condition affecting localized glucose metabolism, resulting in systemic metabolic dysfunction.

Objective: This cross-sectional study aimed to explore visceral adipose tissue (VAT) as an integral contributor to GDM, focusing on elucidating the specific contribution of obesity and GDM pathology to maternal outcomes.

Methods: Fifty-six nulliparous pregnant women were recruited, including normal glucose tolerant (NGT) (n = 30) and GDM (n = 26) participants.

Quality outcomes for end-of-life care among people with haematological malignancies at a New Zealand cancer centre.

Background: Little is known about the end-of-life (EOL) experience and specialist palliative care use patterns of patients with haematological malignancies (HMs) in New Zealand.

Aims: This retrospective analysis sought to examine the quality of EOL care received by people with HMs under the care of Auckland District Health Board Cancer Centre's haematology service and compare it to international data where available.

Methods: One hundred consecutive adult patients with HMs who died on or before 31 December 2019 were identified.