Prediction of cardiovascular markers and diseases using retinal fundus images and deep learning: a systematic scoping review.

Rapid development in deep learning for image analysis inspired studies to focus on predicting cardiovascular risk using retinal fundus images. This scoping review aimed to identify and describe studies using retinal fundus images and deep learning to predict cardiovascular risk markers and diseases. We searched MEDLINE and Embase on 17 November 2023.

Information needs for GPs on type 2 diabetes in Western countries: a systematic review.

Background: Most people with type 2 diabetes receive treatment in primary care by GPs who are not specialised in diabetes. Thus, it is important to uncover the most essential information needs regarding type 2 diabetes in general practice.

Aim: To identify information needs related to type 2 diabetes for GPs.

The impact of train-the-trainer programs on the continued professional development of nurses: a systematic review.

Background: Train-the-trainer (TTT) programs are widely applied to disseminate knowledge within healthcare systems, but evidence of the effectiveness of this educational model remains unclear. We systematically reviewed studies evaluating the impact of train-the-trainer models on the learning outcomes of nurses.

Methods: The reporting of our systematic review followed PRISMA 2020 checklist.

Feasibility of time-restricted eating in individuals with overweight, obesity, prediabetes, or type 2 diabetes: A systematic scoping review.

Objective: This systematic scoping review aimed to map and synthesize research on feasibility of time-restricted eating (TRE) in individuals with overweight, obesity, prediabetes, or type 2 diabetes, including recruitment rate, retention rate, safety, adherence, and participants' attitudes, experiences, and perspectives.

Methods: The authors searched MEDLINE, Embase, and Cumulative Index to Nursing and Allied Health Literature from inception to November 22, 2022, supplemented by backward and forward citation search.

Results: From 4219 identified records, 28 studies were included.

Insulin resistance in patients with cancer: a systematic review and meta-analysis.

Background: Insulin resistance is a critical cause of metabolic dysfunctions. Metabolic dysfunction is common in patients with cancer and is associated with higher cancer recurrence rates and reduced overall survival. Yet, insulin resistance is rarely considered in the clinic and thus it is uncertain how frequently this condition occurs in patients with cancer.