Systematic Review
JAK2-V617F mutation among blood donors. A meta-analysis
Alsharif et al review on the prevalence of the JAK2V617F (JAK2) mutation and polycythemia vera (PV) among all blood donors, focusing on those with elevated hematocrit. Eligible studies examined blood donors in hospital or community settings, had a sample size of at least 20 donors, and reported the prevalence of the JAK2 mutation or PV. Of those, ten studies examined the presence of a JAK-2 mutation in 1,999 blood donors. The overall proportion of JAK2 mutations was 3%. The prevalence of the JAK2 mutation among blood donors is similar to the general population’s but slightly higher among repeat donors with elevated hematocrit.
see page 1289
Original Articles
Rising epidemiological trends in prevalence and mortality of mpox. Global insights and analysis
Meo et al the global epidemiological trends in the prevalence and mortality due to mpox in various regions worldwide. he total number of mpox cases has reached 99,518 (95,196 cases from 115 countries that have not historically reported mpox; and 4,322 cases from 07 states that have traditionally reported mpox), from a total of 122 countries. The top 10 countries with the greatest number of mpox cases include the United States followed by Brazil, Spain, France, Colombia, Mexico, United Kingdom, Per, Germany, and Democratic Republic of Congo. America has the highest number of cases accounting for 63% of total cases globally, followed by Europe. Mpox cases have rapidly spread worldwide, reaching 99,518 cases across 122 countries, and being declared a “Public Health Emergency of International Concern” by the World Health Organization.
see page 1334
Mpox cases in countries with the highest percentage change from August 1, 2023, to August 18, 2024.
Assessing the accuracy of Chat GPT-4 Omni (GPT-4o) in biomedical statistics. Comparative study with traditional tools
Meo et al assess the accuracy of ChatGPT-4 Omni (GPT-4o) in biomedical statistics. The recent novel inauguration of Artificial Intelligence ChatGPT-Omni (GPT-4o), has emerged with the potential to analyze sophisticated and extensive data sets, challenging the expertise of statisticians using traditional statistical tools for data analysis. This study was performed in the Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia, in May 2024. ChatGPT-4 Omni scored better over 80% in all 3 statistical datasets in a short period.
see page 1383
Large dataset file upload and command entry into Chat GPT Omni. ANOVA: Analysis of variance
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