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Int J Equity Health
January 2025
Center for Health Systems Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Objective: To analyze the temporal and territorial relationship between health system financing fragmentation and maternal mortality in the last two decades in Mexico.
Methods: We conducted an ecological-longitudinal study of the maternal mortality ratio (MMR) in the 32 states of Mexico during the period 2000-2022. Annual MMRs were estimated at the national and state levels according to health insurance.
Nat Immunol
January 2025
Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China.
A comprehensive understanding of the evolution of the immune landscape in humans across the entire lifespan at single-cell transcriptional and protein levels, during development, maturation and senescence is currently lacking. We recruited a total of 220 healthy volunteers from the Shanghai Pudong Cohort (NCT05206643), spanning 13 age groups from 0 to over 90 years, and profiled their peripheral immune cells through single-cell RNA-sequencing coupled with single T cell and B cell receptor sequencing, high-throughput mass cytometry, bulk RNA-sequencing and flow cytometry validation experiments. We revealed that T cells were the most strongly affected by age and experienced the most intensive rewiring in cell-cell interactions during specific age.
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January 2025
Barts Cancer Institute, Queen Mary University of London, London, UK
Background: The risk of developing advanced neoplasia (AN; colorectal cancer and/or high-grade dysplasia) in ulcerative colitis (UC) patients with a low-grade dysplasia (LGD) lesion is variable and difficult to predict. This is a major challenge for effective clinical management.
Objective: We aimed to provide accurate AN risk stratification in UC patients with LGD.
Background: The purpose of this study was to evaluate the performance and evolution of Chat Generative Pre-Trained Transformer (ChatGPT; OpenAI) as a resource for shoulder and elbow surgery information by assessing its accuracy on the American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions. We hypothesized that both ChatGPT models would demonstrate proficiency and that there would be significant improvement with progressive iterations.
Materials And Methods: A total of 200 questions were selected from the 2019 and 2021 American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions.
Purpose: To better understand burnout in oncology and clinician well-being along the career continuum starting with training, we sought to characterize the professional well-being of physicians training in medical oncology in 2023 and to identify trends over time comparing to fellows from a decade prior.
Methods: All US medical oncology fellows taking the 2023 ASCO Medical Oncology In-Training Exam (ITE) were invited to complete an optional post-exam survey evaluating fatigue, satisfaction with work-life integration (WLI), emotional exhaustion and depersonalization. 2023 ITE survey responses were compared to the 2013 ASCO post-ITE survey (n=1345).
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