'I presumed the pain would eventually get better by itself'; challenges with access to rehabilitation for upper limb dysfunction after breast cancer treatment - Descriptive and qualitative findings from a cross-sectional survey.

Purpose: Sixty percent of breast cancer patients develop persistent upper limb pain and dysfunction, but only limited knowledge exists about how these symptoms relate to rehabilitation access.

Methods: A postal survey was sent to patients treated at a London University Teaching Hospital (2018-2020). Data were collected on pain (Pain Detect), shoulder function (Disability of Shoulder Arm and Hand (DASH)), quality-of-life (QoL) (EQ-5D-5L), and clinical characteristics, including treatment and access to rehabilitation.

Modern Treatment of Pulmonary Embolism (USCDT vs MT): Results From a Real-World, Big Data Analysis (REAL-PE).

Background: Advanced therapies are increasingly utilized to treat pulmonary embolism (PE). A unique data platform allows access to electronic health record data for comparison of the safety of PE therapies.

Methods: All data from Truveta (Truveta, Inc) were analyzed (16 systems, 83,612,413 patients, 535,567 with PE).

Flow Rate and Water Depth Alters Biomass Production and Phytoremediation Capacity of .

Given its high biomass production, phytoremediation capacity and suitability as a feedstock for animal and human nutrition, duckweeds are valuable multipurpose plants that can underpin circular economy applications. In recent years, the use of duckweeds to mitigate environmental pollution and valorise wastewaters through the removal of excess nitrogen and phosphate from wastewaters has gained considerable scientific attention. However, quantitative data on optimisation of duckweed performance in phytoremediation systems remain scant.

Employing multiple synchronous outcome samples per subject to improve study efficiency.

Background: Accuracy can be improved by taking multiple synchronous samples from each subject in a study to estimate the endpoint of interest if sample values are not highly correlated. If feasible, it is useful to assess the value of this cluster approach when planning studies. Multiple assessments may be the only method to increase power to an acceptable level if the number of subjects is limited.