Community pharmacists in Japan participate in many important clinical cases involving drug therapies. This involvement should be researched and widely publicized to promote evidence-based medicine (EBM). However, the awareness level about the establishment of clinical evidence among community pharmacists remains unknown. Therefore, this large-scale questionnaire survey was conducted among members of the Okayama Pharmaceutical Association to clarify the awareness about the establishment of clinical evidence among community pharmacists to determine the major factors affecting their awareness. Questionnaires requiring open-ended responses were developed in Google Forms. Finally, 366 valid answers were obtained and statistically analyzed based on three aspects: academic conference presentation, research article publication, and research conduct. More than 50% of the participants agreed that they must engage in the establishment of clinical evidence. However, they were unwilling to engage in it by themselves. Additionally, the awareness about the establishment of clinical evidence among participants aged <40 years, who underwent a 6-year course, and with presentation experience was greater than that among participants aged ≥40 years, who underwent a 4-year course and without presentation experience. Thus, age, course duration, and presentation experience are important factors influencing awareness about the establishment of clinical evidence. Further, >70% of the participants did not have enough time to engage in the establishment of clinical evidence, suggesting that reducing workload and ensuring adequate time are necessary for such engagements. Our novel findings may increase the establishment of clinical evidence by community pharmacists, improve community pharmacists' social standing, and promote EBM in Japan.
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http://dx.doi.org/10.1248/yakushi.22-00151 | DOI Listing |
PLoS One
January 2025
School of Human Nutrition, McGill University, Montreal, Québec, Canada.
Objective: Managing blood glucose levels is challenging for elite athletes with type 1 diabetes (T1D) as competition can cause unpredictable fluctuations. While fear of hypoglycemia during physical activity is well documented, research on hyperglycemia-related anxiety (HRA) is limited. HRA refers to the heightened fear that hyperglycemia-related symptoms will impair functioning.
View Article and Find Full Text PDFPLoS One
January 2025
Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil.
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.
View Article and Find Full Text PDFAnal Chem
January 2025
Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China.
The absence of an effective imaging tool for diagnosing renal ischemia-reperfusion injury (RIRI) severely delays its treatment, and currently, no definitive clinical interventions are available. Pyroglutamate aminopeptidase-1 (PGP-1), a potential inflammatory cytokine, has shown considerable potential as a biomarker for tracing the inflammatory process in vivo. However, its exact role in the enhanced visualization of RIRI in complex biological systems has yet to be fully established.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Biomedical Informatics, Columbia University, New York, NY 10032, United States.
Objective: Extracting PICO elements-Participants, Intervention, Comparison, and Outcomes-from clinical trial literature is essential for clinical evidence retrieval, appraisal, and synthesis. Existing approaches do not distinguish the attributes of PICO entities. This study aims to develop a named entity recognition (NER) model to extract PICO entities with fine granularities.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Gynecologic Oncology, Women's Hospital, School of Medicine Zhejiang University, Hangzhou, China.
Objective: We attempted to evaluate the immediate high-grade squamous intraepithelial lesion-cervical intraepithelial neoplasia grade 2/3 or worse (HSIL-CIN2+/3+, hereafter referred to as CIN2+/3+) risk of specific human papillomavirus (HPV) genotype and form the precise risk-based triage strategy for atypical squamous cells of undetermined significance (ASC-US) women.
Methods: The clinical data of ASC-US women who underwent HPV genotyping testing and colposcopy were retrospectively reviewed. The distribution and CIN2+/3+ risks of specific HPV genotype were assessed by three approaches.
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