Pak J Med Sci
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Hypoferritinemia without anemia (HWA) is an under-recognized public health concern. Early identification and targeted treatment of HWA can prevent unnecessary medication use and potential drug abuse. This study aims to establish clearer guidelines for recognizing and managing HWA, improving patient's outcome. The study objectives will be to compare the treatment efficacy of oral and IV iron on patients with HWA and to check the severity of clinical indicators of HWA post treatment among reproductive age women. ⋯ The primary outcome will be the change in serum ferritin levels among groups at four months post-intervention. Secondary outcomes will include changes in clinical symptoms post-intervention. Data will be analyzed by using independent t-tests for between-group ferritin levels, paired t-tests for within-group comparisons, Wilcoxon Rank and Friedman tests for clinical symptoms, and ANOVA for comparisons across multiple groups.
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This study was conducted to investigate the social media practices and attitudes towards e-professionalism among undergraduate medical students in a medical college of Pakistan. ⋯ This study highlights the widespread social media usage among medical students and its impact on e-professionalism. Gender and academic seniority influence social media practices and e-professionalism. These findings emphasize the importance of targeted education and policies to promote more responsible use of social media and e-professionalism in the health sector.
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In medical education, the challenging constructs of emotional intelligence and professionalism are increasingly being addressed worldwide and seem to share common characteristic components. The objective of this study was to determine the association between emotional intelligence and professionalism as perceived and self-reported by medical students and to explore the gender difference in these two variables. ⋯ Increase in emotional intelligence is associated with the increase in professionalism among medical students.
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To design a deep learning-based model for early screening of diabetic retinopathy, predict the condition, and provide interpretable justifications. ⋯ Utilizing image-level annotations, we implemented a method for detecting diabetic retinopathy through deep learning and provided interpretable justifications to assist clinicians in diagnosis.
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The aim of the study was to examine the effects of the COVID-19 pandemic on frequency of well-child follow-up visits and immunization rate in Turkish tertiary reference hospital's Well-Child Care Outpatient Clinic. ⋯ The COVID-19 pandemic has had a significant impact on healthcare. In addition to the effects that emerged during the pandemic period, it is predicted that there will be many reflections in the post-pandemic period, especially affecting the vulnerable population. Although our study was conducted in a single centre, it is of great importance in terms of revealing the efforts made by healthcare workers in the field of child health follow-up and vaccination during the pandemic period and emphasising that primary healthcare services should continue.