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Development and Validation of a Predictive Model of Prostate Screening Compliance: A Nationwide Population-Based Study.
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Research Department, School of Medicine, Autonomous University of Sinaloa, Culiacan, México.
Introduction: Prostate cancer (PCa) is the second most common cancer in men worldwide, with significant incidence and mortality, particularly in Mexico, where diagnosis at advanced stages is common. Early detection through screening methods such as digital rectal examination and prostate-specific antigen testing is essential to improve outcomes. Despite current efforts, compliance with prostate screening (PS) remains low due to several barriers.
View Article and Find Full Text PDFAminoguanidine hemisulfate improves mitochondrial autophagy, oxidative stress, and muscle force in Duchenne muscular dystrophy via the AKT/FOXO1 pathway in mdx mice.
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Department of Anesthesia and Critical Care, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
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View Article and Find Full Text PDFNurse worry as a trigger for rapid response team activation improving outcomes: a retrospective cohort study in non-critical units.
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Departamento de Práticas Assistenciais, Hospital Israelita Albert Einstein, Avenue Albert Einstein, 627-701, São Paulo, 05651-901, Brazil.
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View Article and Find Full Text PDFCardiovascular health in perspective: a comprehensive five-year geodatabase of hospitalizations and environmental factors in Mashhad, Iran.
BMC Res Notes
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UQ Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.
Objectives: This data note presents a comprehensive geodatabase of cardiovascular disease (CVD) hospitalizations in Mashhad, Iran, alongside key environmental factors such as air pollutants, built environment indicators, green spaces, and urban density. Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions.
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Potential drug targets for asthma identified through mendelian randomization analysis.
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Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China.
Background: The emergence of new molecular targeted drugs marks a breakthrough in asthma treatment, particularly for severe cases. Yet, options for moderate-to-severe asthma treatment remain limited, highlighting the urgent need for novel therapeutic drug targets. In this study, we aimed to identify new treatment targets for asthma using the Mendelian randomization method and large-scale genome-wide association data (GWAS).
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