A retrospective multicenter study on the efficacy and safety of disitamab vedotin monotherapy versus combination with anti-PD-1 immunotherapy in advanced gastric cancer.

Novel therapeutic agents including disitamab vedotin (RC48, an antibody-drug conjugate) and immune-checkpoint inhibitors (e.g., PD-1 inhibitors) have provided new hope as an advanced gastric-cancer (GC) treatment.

Integrated approach with UHPLC-Q-Exactive-tandem mass spectrometry, network analysis, and molecular docking to determine potential active compounds and mechanisms of Rhizoma Musae decoction in osteoarthritis treatment.

Objective: This study aimed to identify the potential active compounds in Rhizoma Musae decoction and understand their mechanisms of action in osteoarthritis treatment.

Methods: UHPLC-Q-Exactive-MS/MS technology was used for an in-depth analysis of the chemical compounds present in Rhizoma Musae decoction. A network analysis approach was used to construct a comprehensive network of compounds, targets, and pathways, which provided insights into the molecular mechanisms of Rhizoma Musae decoction in osteoarthritis treatment.

Body Composition at Diagnosis and Early Response in Pediatric Hodgkin Lymphoma.

Background: The association between skeletal muscle and adipose tissue (body composition) and early response using positron emission tomography (PET) in pediatric Hodgkin lymphoma (HL) remains unstudied.

Methods: Patients enrolled on Children's Oncology Group studies AHOD0031 (intermediate-risk HL) and AHOD0831 (high-risk HL) with digital abdominal computed tomography (CT) scans at diagnosis and PET scans after 2 cycles (PET2) were included. Two consecutive slices at the third lumbar vertebra were identified and skeletal muscle index (SMI, in cm2/m2) and total adipose tissue index (TATI, in cm2/m2) were calculated using sliceOmatic (Magog, Canada) and height at diagnosis.

Nonacademic predictors of China medical licensing examination.

Background: National Medical Licensing Examination (NMLE) is the entrance exam for medical practice in China, and its general medical knowledge test (GMKT) evaluates abilities of medical students to comprehensively apply medical knowledge to clinical practice. This study aimed to identify nonacademic predictors of GMKT performance, which would benefit medical schools in designing appropriate strategies and techniques to facilitate the transition from medical students to qualified medical practitioners.

Methods: In 1202 medical students, we conducted the deletion-substitution-addition (DSA) and structural equation model (SEM) analyses to identify nonacademic predictors of GMKT performance from 98 candidate variables including early life events, physical conditions, psychological and personality assessments, cognitive abilities, and socioeconomic conditions.