Objective: To evaluate the performance of the automated abstract screening tool Rayyan. Methods: The records obtained from the search for three systematic reviews were manually screened in four stages. At the end of each stage, Rayyan was used to predict the eligibility score for the remaining records. At two different thresholds (≤2.5 and < 2.5 for exclusion of a record) Rayyan-generated ratings were compared with the decisions made by human reviewers in the manual screening process and the tool’s accuracy metrics were calculated. Results: Two thousand fifty-four records were screened manually, of which 379 were judged to be eligible for full-text assessment, and 112 were eventually included in the final review. For finding records eligible for full-text assessment, at the threshold of < 2.5 for exclusion, Rayyan managed to achieve sensitivity values of 97-99% with specificity values of 19-58%, while at the threshold of ≤2.5 for exclusion it had a specificity of 100% with sensitivity values of 1-29%. For the task of finding eligible reports for inclusion in the final review, almost similar results were obtained. Discussion: At the threshold of < 2.5 for exclusion, Rayyan managed to be a reliable tool for excluding ineligible records, but it was not much reliable for finding eligible records. We emphasize that this study was conducted on diagnostic test accuracy reviews, which are more difficult to screen due to inconsistent terminology.

Objective: COVID-19 has spread throughout the world and has become a global pandemic. This situation can cause psychological distress among people, especially health care workers. This study aimed to determine depression and anxiety levels among Iranian medical students during the COVID-19 pandemic. Method: In this cross sectional study, we designed an online survey of Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI) questionnaires. The survey link was sent to 500 medical clerks and interns studying at Tehran University of Medical Sciences (TUMS). Results: A total of 64.6% of the students completed the survey. The prevalence of mild to severe anxiety and depression among them was 38.1% and 27.6%, respectively. Anxiety and changes in sleep patterns were the most common symptoms. Higher levels of anxiety were related to female gender, lower grade point average (GPA), and experience of COVID-19 symptoms. Students with lower GPA and prior experience of COVID-19 symptoms were more likely to feel depressed. Conclusion: Depression and anxiety did not significantly differ among Iranian medical students before and after the COVID-19 outbreak. Somatic symptoms of depression are more common during this pandemic and need particular attention in future similar situations. A higher GPA is related to lower anxiety and depression among medical students.

Autism spectrum disorder (ASD) represents a panel of conditions that begin during the developmental period and result in impairments of personal, social, academic, or occupational functioning. Early diagnosis is directly related to a better prognosis. Unfortunately, the diagnosis of ASD requires a long and exhausting subjective process. We aimed to review the state of the art for automated autism diagnosis and recognition in this research. In February 2022, we searched multiple databases and sources of gray literature for eligible studies. We used an adapted version of the QUADAS-2 tool to assess the risk of bias in the studies. A brief report of the methods and results of each study is presented. Data were synthesized for each modality separately using the Split Component Synthesis (SCS) method. We assessed heterogeneity using the I ² statistics and evaluated publication bias using trim and fill tests combined with ln DOR. Confidence in cumulative evidence was assessed using the GRADE approach for diagnostic studies. We included 344 studies from 186,020 participants (51,129 are estimated to be unique) for nine different modalities in this review, from which 232 reported sufficient data for meta-analysis. The area under the curve was in the range of 0.71–0.90 for all the modalities. The studies on EEG data provided the best accuracy, with the area under the curve ranging between 0.85 and 0.93. We found that the literature is rife with bias and methodological/reporting flaws. Recommendations are provided for future research to provide better studies and fill in the current knowledge gaps.

Previous studies have mainly focused on individual mental disorders, and there is no study addressing the total burden of mental disorders in the Middle East and North Africa (MENA). This study evaluated the burden of mental disorders in the MENA region from 1990 to 2019. Epidemiological. We utilized global burden of disease data to examine the burden of 12 mental disorders from 1990 to 2019 across age groups, genders, and the 21 MENA countries. We collected data on prevalence, incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years (DALY), including both crude and age-standardized rates per 100,000 people. The DALY rate of mental disorders in MENA countries increased by 13.88% from 1,747.92 per 100,000 people in 1990 to 1990.5 per 100,000 people in 2019. The highest percentage increases in the DALY rates of mental disorders were observed for bulimia nervosa (35.69%), other mental health disorders (34.58%), and schizophrenia (33.02%) from 1990 to 2019. However, the DALY rates for idiopathic developmental intellectual disability (-26.48%), conduct disorder (-23.91%), attentiondeficit/ hyperactivity disorder (-16.46%), and autism spectrum disorders (-4.12%) decreased in the MENA region from 1990 to 2019. In 2019, the highest DALY rates for idiopathic developmental intellectual disability, anxiety disorders, and major depressive disorder were observed in age groups ≤ 4 years, 5-19 years, and ≥ 20 years, respectively. The age-standardized DALY rate of mental disorders was the highest in Palestine (2,396.9 per 100,000), Iran (2,295.8 per 100,000), and Lebanon (2,126.0 per 100,000) compared with other MENA countries in 2019. There has been a slight increase in the burden of mental disorders in the MENA region between 1990 and 2019. Our research findings strongly reinforce the view that mental conditions should be recognized as a central health challenge in the 21^st century. Consequently, national policies must prioritize evidence-based preventive measures and ensure accessible treatment options for mental health disorders within the population, especially in the MENA region.

Latest studies have revealed that an increasing number of Corona Virus Disease of 2019 (COVID-19) patients may continue to feel symptoms after the acute phase. This study aimed to evaluate the prevalence of musculoskeletal symptoms after the acute phase of COVID-19 and its associated factors. We designed a cross-sectional study from January 2021 to April 2021. An online questionnaire was designed and sent to patients who had recovered from COVID-19. The questionnaire contained questions on participants' demographic characteristics, COVID-19 course at its acute phase, and musculoskeletal symptoms after recovering from COVID-19. Musculoskeletal symptoms associations with patients’ characteristic and COVID-19 course was evaluated. 239 patients, including 72 (30.1%) males and 167 (69.9%) females with a mean age of 37.96 years (SD = 11.19), were included in the study. 98.74% of our patients had experienced at least one musculoskeletal symptom after recovering from COVID-19, and the most common symptom was fatigue, as 91.2% of participants experienced this symptom, followed by myalgia, headache, and low back pain. High BMI, hospitalization, and ICU admission were associated with a higher risk of musculoskeletal symptoms. This study indicated a high prevalence of persistent musculoskeletal symptoms among patients who recovered from COVID-19. Modifiable factors, such as BMI, can be targeted to reduce the prevalence of musculoskeletal symptoms in COVID-19 survivors and reduce its burden.