ABSTRACT
Robotic-assisted surgery is a computer-controlled technique that may improve the accuracy and outcomes of unicompartmental total knee arthroplasty (TKA), a partial knee replacement surgery. The purpose of a meta-analysis about robotic-assisted versus conventional surgery for unicompartmental TKA is to compare the effectiveness of these two methods based on the current evidence. Our meta-analysis can help inform clinical decisions and guidelines for surgeons and patients who are considering unicompartmental TKA as a treatment option. We searched four online databases for studies that compared the two methods until March 2023. We used RevMan software to combine the data from the studies. We calculated the mean difference (MD) and the 95% confidence interval (CI) for each outcome, which are statistical measures of the difference and the uncertainty between the two methods. We included 16 studies in our analysis. We found that robotic-assisted surgery had a better hip-knee-ankle angle, which is a measure of how well the knee is aligned, than conventional surgery (MD = 0.86, 95% CI = 0.16-1.56). We also found that robotic-assisted surgery had a better Oxford Knee score, which is a measure of how well the knee functions, than conventional surgery (MD = 3.03, 95% CI = 0.96-5.110). This study compared the results of conventional and robotic-assisted unicompartmental knee arthroplasty in 12 studies. We concluded that robotic-assisted surgery may have some benefits over conventional surgery in terms of alignment and function of the knee. However, we did not find any significant difference between the two methods in terms of other outcomes, such as pain, range of motion, health status, and joint awareness. Therefore, we suggest that more research is needed to confirm these results and evaluate the long-term effects and cost-effectiveness of robotic-assisted surgery.
ABSTRACT
Background and Aims: The viral agent of the novel coronavirus disease 2019 (COVID-19) continues to spread worldwide, leading to a global pandemic. this may negatively affect students' mental health who have to maintain their learning efforts. Therefore, we aimed to assess students' perceptions of the online learning programs designed for university students in Arab countries during the COVID-19 pandemic. Methods: This cross-sectional study was conducted on university students using a self-administered online questionnaire in 15 Arab countries, including 6779 participants. The actual sample size was calculated using the EpiInfo program calculator. The validated, piloted questionnaire assessed the effectiveness of internet-based distance learning applications used in these countries during the pandemic. The SPSS version 22 was used. Results: Among the 6779 participants, 26.2% believed that their teachers diversify learning methods, 22.0% thought that their teachers were able to treat the weakness the students have, and 30.7% agreed that their teachers efficiently communicate with them through COVID-19 internet-based learning process. Around 33% of students participated in lectures effectively, 47.4% submitted their homework within accepted deadlines, and 28.6% thought that their colleagues did not cheat during exams and homework. Around 31.3% of students believed that online-based learning had a role in directing them towards research, and 29.9% and 28.9%, respectively, believed that online learning had a role in developing analytical thinking and synthesis skills. Participants reported many suggestions to enhance the process of internet-based distance learning in the future. Conclusion: Our study suggests that online-based distance learning in Arab countries still needs more improvement as students still are more inclined toward face-to-face teaching. However, exploring the factors that influence students' perceptions of e-learning is vital for improving the quality of online-based distance learning. We recommend exploring the perceptions of educators regarding their experience towards online-based distance learning during COVID-19 lockdown.
ABSTRACT
BACKGROUND: Restless legs syndrome (RLS) is a clinical entity characterized by sensory-motor manifestations commonly observed in end-stage renal illness. Evidence suggests that RLS is a multifactorial phenomenon that can be influenced by many critical factors, including genetic predisposition, dietary patterns, and deficiency in some vitamins. Iron metabolism disorders and metabolic derangements have been generally accepted as predisposing elements in RLS. Furthermore, both pharmacological and neuroimaging studies demonstrated dopamine deficiency and dopamine receptors decrease in basal ganglia during RLS. REVIEW SUMMARY: A literature search was done in three databases (PubMed, Google Scholar, and Cochrane) to identify the pertinent articles discussing the epidemiology, pathogenesis, and management of RLS in hemodialysis patients. RLS can affect the morbidity and mortality of patients treated with dialysis. It also has significant impacts on the quality of life since it can lead to insomnia, increased fatigue, mental health troubles, and other movement problems. Appropriate measures should be considered in this particular population so to prevent and treat RLS. Many drugs and other nonpharmacological methods have been investigated to attenuate the disease's severity. No treatment, however, could offer long-term effects. CONCLUSION: Further efforts are still required to improve the understanding of RLS pathogenic trends to find more specific and efficient therapies. A wide range of treatment options is available. However, it can be individualized according to the patients' several factors.
