Effects of web-based interventions on quality of life among patients with breast cancer: A systematic review and meta-analysis of randomized controlled trials.

Objective: Patients with breast cancer experience decreased quality of life due to various physical and psychological challenges. Web-based interventions are accessible, cost-effective, and convenient for improving their quality of life. This study evaluated whether web-based interventions improve quality of life and included only randomized controlled trials (RCTs) with clear evidence.

Efficacy of Web-Based Interventions on Depression and Anxiety in Cancer Caregivers: A Systematic Review and Meta-Analysis.

Objective: This study aimed to evaluate the effectiveness of web-based interventions in depression and anxiety among informal caregivers of patients with cancer.

Methods: Databases such as PubMed, Cochrane, Web of Science, Embase, CINAHL, and PsycINFO were systematically searched from inception to April 15, 2024. Eligible studies encompassed randomized controlled trials (RCTs) focusing on web-based interventions tailored to informal caregivers of patients with cancer.

A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology.

We present a general framework for developing a machine learning (ML) tool that supports clinician assessment of patient risk using electronic health record-derived real-world data and apply the framework to a quality improvement use case in an oncology setting to identify patients at risk for a near-term (60 day) emergency department (ED) visit who could potentially be eligible for a home-based acute care program. Framework steps include defining clinical quality improvement goals, model development and validation, bias assessment, retrospective and prospective validation, and deployment in clinical workflow. In the retrospective analysis for the use case, 8% of patient encounters were associated with a high risk (pre-defined as predicted probability ≥20%) for a near-term ED visit by the patient.

IL-11 Induces Encephalitogenic Th17 Cells in Multiple Sclerosis and Experimental Autoimmune Encephalomyelitis.

IL-11CD4 cells accumulate in the cerebrospinal fluid of patients with early relapsing-remitting multiple sclerosis (MS) and in active brain MS lesions. Mouse studies have confirmed a causal role of IL-11 in the exacerbation of relapsing-remitting experimental autoimmune encephalomyelitis (RREAE). Administration of IL-11 at the time of clinical onset of RREAE induced an acute exacerbation and increased clinical scores, which persisted during the entire course of the disease.