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Background This study delves into the demographics and clinical characteristics of oral cavity tumors in the context of the United Arab Emirates. It further investigates the efficacy of four different treatment modalities in impacting patient survival rates. It aims to understand if any treatments significantly improve survival compared to others. Methodology To assess the survival outcomes across the different treatment groups, the study employed the log-rank test, a non-parametric statistical test widely used in survival analysis. The sample consisted of patients from the electronic medical records assigned to one of the following four treatment groups: radiotherapy only (RT), radiotherapy with surgery and chemotherapy (RT+S+C), radiotherapy with surgery (RT+S), and, finally, radiotherapy with chemotherapy including immunotherapy (RT+C). Data collection involved tracking survival times from the initiation of treatment until the last follow-up period or the occurrence of an event (e.g., death). The statistical analysis was conducted using the chi-squared statistic to determine the distribution of survival times across the groups, providing a quantitative measure of the difference between the observed and expected survival. The Kaplan-Meier curve was plotted for the cohort divided into four groups. Results The log-rank test yielded a p-value of 0.321019, suggesting no statistically significant difference in survival among the treatment groups at the 5% significance level. The chi-squared statistic was 3.498018, within the 95% acceptance region, further corroborating the null hypothesis of no significant survival difference across the groups. Despite this, an observed medium effect size of 0.59 indicates a moderate difference in survival between the groups. Conclusions The findings illustrate that while there is no statistically significant difference in survival rates among the four treatment groups, the medium effect size observed suggests a moderate difference in survival. This emphasizes the need to consider the statistical significance and effect size in clinical research, as they provide different insights into treatment efficacy.
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BACKGROUND: Medical students tend to experience high levels of stress during their studies, that can result in mental health disorders and burnout, further affecting academic performance and later ability to practice. AIMS: To investigate previous and current mental health issues, significant sources of stress, burnout, and substance use among medical students in the United Arab Emirates (UAE). METHOD: We conducted an online survey to collect data on demographics, sources of stress, mental health problems, burnout, and substance use in 385 medical students from the UAE University. We used the Oldenburg Burnout Inventory (OLBI), the General Health Questionnaire 12 (GHQ-12), and the CAGE questionnaire. RESULTS: Our results indicated that 5.7% of participants had been diagnosed with a mental health condition prior to joining medical school, and that 21.6% of participants were diagnosed with a mental illness while in medical school. On the OLBI, 77.4% screened positive for burnout (81.3% for disengagement and 95.1% for exhaustion), with 74.5% screening positive for mental health difficulties on the GHQ-12 and <1% screening positive on the CAGE for problem drinking. There was a statistically significant positive correlation between scores on the OLBI and the GHQ-12. CONCLUSIONS: Our study indicated that high levels of stress, burnout and mental illness are experienced among medical students in the UAE.