Richter transformation (RT) is a rare albeit devastating complication of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL). RT is defined as an aggressive lymphoma, typically diffuse large B-cell lymphoma, in the setting of CLL. A clonal relationship to the preceding CLL clone is detected in the majority of RT cases and confers more aggressive clinicopathologic kinetics, resistance to standard chemoimmunotherapy regimens, and inferior survival.
View Article and Find Full Text PDFIntroduction: Pediatric endocrinology education is a fundamental part of all pediatric endocrinology training. Hence, understanding the current methods used for training learners on skills required and understanding methods or topics that may be underexplored could help improve the quality of training.
Objective: This study aims to explore training and assessment strategies used in pediatric endocrinology training across medical education programs through a scoping review.
Background: Sedentary behaviour has a detrimental effect on health independent of the amount of physical activity undertaken. Despite the association of cardiometabolic and psychosocial comorbidities with psoriasis, how physical behaviour influences health outcomes in patients with psoriasis is poorly understood.
Objectives: We hypothesized that objective measurement of physical behaviour, using wearable digital technology, would have utility in understanding the clinical impact of an exercise intervention designed in partnership with patients with psoriasis.
Background: Understanding the epidemiological parameters and transmission dynamics of Lassa fever, a significant public health threat in west Africa caused by the rodent-borne Lassa virus, is crucial for informing evidence-based interventions and outbreak response strategies. Therefore, our study aimed to collate and enhance understanding of the key epidemiological parameters of Lassa fever.
Methods: We conducted a systematic review, searching PubMed and Web of Science for peer-reviewed studies published from database inception up to June 13, 2024, to compile and analyse key epidemiological parameters, mathematical models, and outbreaks of Lassa fever.